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Chart2Markdown_train_0
[ "Please generate a markdown table from the given chart." ]
[ "| Characteristic | Unemployment rate |\n|--------------------|---------------------|\n| Costa Rica | 13% |\n| Bahamas | 12% |\n| Colombia | 11.3% |\n| Suriname | 10.6% |\n| Barbados | 9.9% |\n| Chile | 8.3% |\n| Uruguay | 8.3% |\n| Brazil | 8.2% |\n| Honduras | 8.1% |\n| Panama | 8% |\n| Puerto Rico | 7.9% |\n| Aruba | 7.8% |\n| Argentina | 7.6% |\n| Peru | 7.6% |\n| Nicaragua | 7.2% |\n| Paraguay | 6.4% |\n| Dominican Republic | 6.2% |\n| El Salvador | 5.5% |\n| Belize | 5% |\n| Bolivia | 4.9% |\n| Ecuador | 3.6% |\n| Mexico | 3.3% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_1
[ "Turn the given chart into a table in markdown format, please." ]
[ "| Characteristic | Daily active users in millions |\n|------------------|----------------------------------|\n| 2024 Q2 | 79.5 |\n| 2024 Q1 | 77.7 |\n| 2023 Q4 | 71.5 |\n| 2023 Q3 | 70.2 |\n| 2023 Q2 | 65.5 |\n| 2023 Q1 | 66.1 |\n| 2022 Q4 | 58.8 |\n| 2022 Q3 | 58.8 |\n| 2022 Q2 | 52.2 |\n| 2022 Q1 | 54.1 |\n| 2021 Q4 | 49.5 |\n| 2021 Q3 | 47.3 |\n| 2021 Q2 | 43.2 |\n| 2021 Q1 | 42.1 |\n| 2020 Q4 | 37.1 |\n| 2020 Q3 | 36.2 |\n| 2020 Q2 | 33.4 |\n| 2020 Q1 | 23.6 |\n| 2019 Q4 | 19.1 |\n| 2019 Q3 | 18.4 |\n| 2019 Q2 | 17.1 |\n| 2019 Q1 | 15.8 |\n| 2018 Q4 | 13.7 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_2
[ "Transform the provided chart into a table in markdown format." ]
[ "| Characteristic | FTSE 100 | FTSE 250 |\n|------------------|------------|------------|\n| 2022 | 9 | 12 |\n| 2021 | 8 | 10 |\n| 2020 | 8 | 9 |\n| 2019 | 6 | 8 |\n| 2018 | 6 | 6 |\n| 2017 | 6 | 9 |\n| 2016 | 6 | 12 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_3
[ "Can you parse the chart and provide it as a markdown table?" ]
[ "| Characteristic | Number of viewers in thousands |\n|--------------------|----------------------------------|\n| Ibai (2022) | 3442.75 |\n| TheGrefg (2021) | 2390.72 |\n| Squeezie (2023) | 1340.96 |\n| elxokas (2022) | 1144.54 |\n| animematue (2022) | 1142.21 |\n| EleagueTV (2018) | 1130.76 |\n| Kingsleague (2023) | 1098.64 |\n| PlayStation (2020) | 993.63 |\n| Riot Games (2022) | 988.87 |\n| DOTA2TI_RU (2021) | 790.22 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_4
[ "Extract the data from the chart and format it as a markdown table." ]
[ "| Characteristic | Production in million pounds |\n|------------------|--------------------------------|\n| 2023 | 130115 |\n| 2022 | 125490 |\n| 2021 | 123915 |\n| 2020 | 123147 |\n| 2019 | 121457 |\n| 2018 | 119559 |\n| 2017 | 112974 |\n| 2016 | 112227 |\n| 2015 | 110478 |\n| 2014 | 108183 |\n| 2013 | 107522 |\n| 2012 | 105945 |\n| 2011 | 103208 |\n| 2010 | 102806 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_5
[ "Turn the given chart into a table in markdown format, please." ]
[ "| Characteristic | Real GDP in billion U.S. dollars |\n|------------------|------------------------------------|\n| 2023 | 1279.12 |\n| 2022 | 1218.43 |\n| 2021 | 1164.78 |\n| 2020 | 1068.38 |\n| 2019 | 1079.27 |\n| 2018 | 1050.43 |\n| 2017 | 1014.87 |\n| 2016 | 881.54 |\n| 2015 | 852.24 |\n| 2014 | 817.23 |\n| 2013 | 794.84 |\n| 2012 | 778.55 |\n| 2011 | 772.02 |\n| 2010 | 775.04 |\n| 2009 | 769.06 |\n| 2008 | 816.07 |\n| 2007 | 850.05 |\n| 2006 | 839.96 |\n| 2005 | 815.76 |\n| 2004 | 769.14 |\n| 2003 | 722.37 |\n| 2002 | 689.97 |\n| 2001 | 660.66 |\n| 2000 | 642.71 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_6
[ "Please generate a markdown table from the given chart." ]
[ "| Characteristic | Inflation rate compared to previous year |\n|------------------|--------------------------------------------|\n| 2029* | 2.5% |\n| 2028* | 2.5% |\n| 2027* | 2.9% |\n| 2026* | 3.58% |\n| 2025* | 4.97% |\n| 2024* | 5.01% |\n| 2023 | 11.42% |\n| 2022 | 14.36% |\n| 2021 | 5.12% |\n| 2020 | 3.38% |\n| 2019 | 2.24% |\n| 2018 | 1.77% |\n| 2017 | 1.97% |\n| 2016 | -0.68% |\n| 2015 | -0.92% |\n| 2014 | 0.11% |\n| 2013 | 1.12% |\n| 2012 | 3.73% |\n| 2011 | 4.23% |\n| 2010 | 2.59% |\n| 2009 | 3.79% |\n| 2008 | 4.34% |\n| 2007 | 2.47% |\n| 2006 | 1.2% |\n| 2005 | 2.21% |\n| 2004 | 3.54% |\n| 2003 | 0.74% |\n| 2002 | 1.9% |\n| 2001 | 5.5% |\n| 2000 | 10.1% |\n| 1999 | 7.3% |\n| 1998 | 11.8% |\n| 1997 | 14.9% |\n| 1996 | 19.9% |\n| 1995 | 27.88% |\n| 1994 | 32.2% |\n| 1993 | 35.3% |\n| 1992 | 43% |\n| 1991 | 70.3% |\n| 1990 | 585.8% |\n| 1989 | 251.1% |\n| 1988 | 60.2% |\n| 1987 | 25.23% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_7
[ "Parse the chart provided and convert it into a markdown table." ]
[ "| Characteristic | Number of deaths |\n|----------------------------|--------------------|\n| Île-de-France | 29101 |\n| Auvergne-Rhône-Alpes | 17750 |\n| Grand Est | 14958 |\n| Provence-Alpes-Côte d'Azur | 14378 |\n| Hauts-de-France | 13907 |\n| Occitania | 9361 |\n| New Aquitaine | 7973 |\n| Bourgogne-Franche-Comté | 7455 |\n| Normandy | 5648 |\n| Pays de la Loire | 4712 |\n| Centre-Val de Loire | 4640 |\n| Brittany | 3720 |\n| Corsica | 538 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_8
[ "Turn the given chart into a table in markdown format, please." ]
[ "| Characteristic | Surface area in square kilometers |\n|------------------|-------------------------------------|\n| Sweden | 447430 |\n| Greenland* | 410450 |\n| Finland*** | 338450 |\n| Norway** | 323802 |\n| Iceland | 103000 |\n| Denmark**** | 42920 |\n| Faroe Islands* | 1396 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_9
[ "Extract the data from the chart and format it as a markdown table." ]
[ "| Country of origin | Share of nickel imports |\n|---------------------|---------------------------|\n| Other | 31% |\n| Finland | 7% |\n| Russia | 7% |\n| Norway | 9% |\n| Canada | 40% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_10
[ "Kindly parse the given chart into a markdown table." ]
[ "| Characteristic | Number of deaths |\n|------------------|--------------------|\n| 2022 | 21943 |\n| 2021 | 23692 |\n| 2020 | 29366 |\n| 2019 | 26273 |\n| 2018 | 32944 |\n| 2017 | 18753 |\n| 2016 | 25722 |\n| 2015 | 29424 |\n| 2014 | 32763 |\n| 2013 | 18066 |\n| 2012 | 11098 |\n| 2011 | 12533 |\n| 2010 | 13186 |\n| 2009 | 15310 |\n| 2008 | 15708 |\n| 2007 | 22719 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_11
[ "Parse the chart provided and convert it into a markdown table." ]
[ "| Characteristic | 0-14 years | 15-64 years | 65 years and older |\n|------------------|--------------|---------------|----------------------|\n| 2022 | 25.97% | 67.99% | 6.04% |\n| 2021 | 26.45% | 67.72% | 5.83% |\n| 2020 | 26.98% | 67.38% | 5.63% |\n| 2019 | 27.56% | 67% | 5.44% |\n| 2018 | 28.17% | 66.58% | 5.25% |\n| 2017 | 28.83% | 66.1% | 5.07% |\n| 2016 | 29.52% | 65.55% | 4.93% |\n| 2015 | 30.2% | 64.99% | 4.81% |\n| 2014 | 30.87% | 64.4% | 4.72% |\n| 2013 | 31.53% | 63.8% | 4.66% |\n| 2012 | 32.2% | 63.21% | 4.6% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_12
[ "Convert the chart given into a markdown table format." ]
[ "| Characteristic | Year-on-year visitor growth |\n|------------------|-------------------------------|\n| 2025** | 10.2% |\n| 2024** | 8.5% |\n| 2023** | 28.1% |\n| 2022* | 140% |\n| 2021 | 49.4% |\n| 2020* | -71.5% |\n| 2019* | 2% |\n| 2018 | 3.9% |\n| 2017 | 2.6% |\n| 2016 | -6.3% |\n| 2015 | 1% |\n| 2014 | 8.7% |\n| 2013 | 8.5% |\n| 2012 | -10.3% |\n| 2011 | -11.2% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_13
[ "Transform the provided chart into a table in markdown format." ]
[ "| Characteristic | Zara | Bershka | Pull & Bear | Massimo Dutti | Stradivarius | Oysho | Uterqüe | Zara Home |\n|------------------|--------|-----------|---------------|-----------------|----------------|---------|-----------|-------------|\n| 2013 | 10804 | 1556 | 1191 | 1293 | 1006 | 353 | 71 | 451 |\n| 2014 | 11594 | 1664 | 1284 | 1413 | 1130 | 416 | 68 | 548 |\n| 2015 | 13628 | 1875 | 1417 | 1498 | 1289 | 452 | 75 | 666 |\n| 2016 | 15394 | 2012 | 1566 | 1630 | 1343 | 509 | 83 | 774 |\n| 2017 | 17449 | 2227 | 1747 | 1765 | 1480 | 570 | 97 | 830 |\n| 2018 | 18021 | 2240 | 1862 | 1802 | 1534 | 585 | 101 | - |\n| 2019 | 19564 | 2384 | 1970 | 1900 | 1750 | 604 | 115 | - |\n| 2020 | 14129 | 1772 | 1425 | 1271 | 1283 | 522 | 75 | - |\n| 2021 | 19586 | 2177 | 1876 | 1653 | 1824 | 600 | - | - |\n| 2022 | 23761 | 2152 | 1593 | 2384 | 2056 | 623 | - | - |\n| 2023 | 26050 | 2621 | 2359 | 1839 | 2334 | 744 | - | - |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_14
[ "Convert the chart given into a markdown table format." ]
[ "| Characteristic | Average income in Brazilian reals |\n|------------------|-------------------------------------|\n| Bottom 50% | 629 |\n| Top 10% | 7580 |\n| Top 1% | 20664 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_15
[ "Transform the provided chart into a table in markdown format." ]
[ "| Characteristic | Number of subscribers in millions |\n|-------------------|-------------------------------------|\n| Tibo InShape | 20.9 |\n| Sqeezie | 18.9 |\n| Cyprien | 14.5 |\n| Lofi Girl | 14.3 |\n| Oggy | 12.6 |\n| Gims | 11.7 |\n| Norman | 11.5 |\n| Soolking Officiel | 10.6 |\n| Mayamystic | 10.2 |\n| Michou | 9.62 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_16
[ "Parse the chart provided and convert it into a markdown table." ]
[ "| Characteristic | Number of inhabitants |\n|------------------|-------------------------|\n| 2023 | 238147 |\n| 2022 | 234950 |\n| 2021 | 233273 |\n| 2020 | 232874 |\n| 2019 | 231299 |\n| 2018 | 202810 |\n| 2017 | 202636 |\n| 2016 | 200952 |\n| 2015 | 200336 |\n| 2014 | 198317 |\n| 2013 | 195418 |\n| 2012 | 193127 |\n| 2011 | 189991 |\n| 2010 | 187298 |\n| 2009 | 184227 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_17
[ "Kindly parse the given chart into a markdown table." ]
[ "| Characteristic | Number of Instagram followers in thousand |\n|------------------|---------------------------------------------|\n| Will Young | 134 |\n| Tanya Manhenga | 22.8 |\n| Anna-May Robey | 21.1 |\n| Olivia Hawkins | 20 |\n| Tanyel Revan | 19.8 |\n| Lana Jenkins | 14.3 |\n| Ron Hall | 9.67 |\n| Kai Fagan | 7.89 |\n| Haris Namani | 7.77 |\n| Shaq Muhammad | 4.76 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_18
[ "Please generate a markdown table from the given chart." ]
[ "| Characteristic | Women | Men |\n|-----------------------------|---------|-------|\n| Apr 30 - May 27, 2024 | 14.3% | 13.7% |\n| Apr 2 - Apr 29, 2024 | 14.6% | 12.8% |\n| Mar 5 - Apr 1, 2024 | 14% | 13% |\n| Feb 6 - Mar 4, 2024 | 14.6% | 12.8% |\n| Jan 9 - Feb 5, 2024 | 13.7% | 13% |\n| Oct 18 - Oct 30, 2023 | 23.3% | 22.2% |\n| Sep 20 - Oct 2, 2023 | 23.3% | 21.6% |\n| Aug 23 - Sep 4, 2023 | 19.8% | 18.2% |\n| Jul 26 - Aug 7, 2023 | 22.4% | 21.3% |\n| Jun 28 - Jul 10, 2023 | 22.8% | 21.1% |\n| Jun 7 - Jun 19, 2023 | 21.8% | 21.2% |\n| Apr 26 - May 8, 2023 | 22.5% | 21% |\n| Mar 29 - Apr 10, 2023 | 22% | 19.9% |\n| Mar 1 - Mar 13, 2023 | 23.4% | 20.2% |\n| Feb 1 - Feb 13, 2023 | 23.6% | 19.6% |\n| Jan 4 - Jan 16, 2023 | 22.5% | 21.8% |\n| Dec 9 - Dec 19, 2022 | 24.9% | 22.1% |\n| Nov 2 - Nov 14, 2022 | 24.5% | 23.1% |\n| Oct 5 - Oct 17, 2022 | 25.7% | 24.3% |\n| Sep 14 - Sep 26, 2022 | 24.9% | 23.5% |\n| Jul 27 - Aug 8, 2022 | 23.3% | 20.6% |\n| Jun 29 - Jul 11, 2022 | 25.1% | 21.2% |\n| Jun 1 - Jun 13, 2022 | 23.9% | 20.9% |\n| Apr 27 - May 9, 2022 | 23.4% | 20.5% |\n| Mar 30 - Apr 11, 2022 | 23.4% | 19.9% |\n| Mar 2 - Mar 14, 2022 | 22.9% | 20.4% |\n| Jan 26 - Feb 7, 2022 | 24% | 20.2% |\n| Dec 29, 2021 - Jan 10, 2022 | 24.8% | 20.7% |\n| Dec 1 - Dec 13, 2021 | 22.8% | 20% |\n| Sep 29 - Oct 11, 2021 | 23.8% | 19.7% |\n| Sep 15 - Sep 27, 2021 | 23.4% | 21.2% |\n| Sep 1 - Sep 13, 2021 | 23.6% | 21.2% |\n| Aug 18 - Aug 30, 2021 | 24.4% | 20.7% |\n| Aug 4 - Aug 16, 2021 | 23% | 19.6% |\n| Jul 21 - Aug 2, 2021 | 23.1% | 21.1% |\n| Jun 23 - Jul 5, 2021 | 23.1% | 18.4% |\n| Jun 9 - Jun 21, 2021 | 23% | 20.1% |\n| May 26 - Jun 7, 2021 | 22.4% | 19.3% |\n| May 12 - May 24, 2021 | 23.3% | 19.7% |\n| Apr 28 - May 10, 2021 | 23.6% | 20.1% |\n| Apr 14 - Apr 26, 2021 | 25.2% | 20.5% |\n| Mar 17 - Mar 29, 2021 | 26% | 23.2% |\n| Mar 3 - Mar 15, 2021 | 28.4% | 24.2% |\n| Feb 17 - Mar 1, 2021 | 28.7% | 26.7% |\n| Feb 3 - Feb 15, 2021 | 29.9% | 26.1% |\n| Jan 20 - Feb 1, 2021 | 30.4% | 26.3% |\n| Jan 6 - Jan 18, 2021 | 30.6% | 25.9% |\n| Dec 9 - Dec 21, 2020 | 32.3% | 27.9% |\n| Nov 25 - Dec 7, 2020 | 30.9% | 26.7% |\n| Nov 11 - Nov 23, 2020 | 31.3% | 25.7% |\n| Oct 28 - Nov 9, 2020 | 29.7% | 25.4% |\n| Oct 14 - Oct 26, 2020 | 28.1% | 23.7% |\n| Sep 30 - Oct 12, 2020 | 27.2% | 23.5% |\n| Sep 16 - Sep 28, 2020 | 27.2% | 22.7% |\n| Sep 2 - Sep 14, 2020 | 26% | 22.8% |\n| Aug 19 - Aug 31, 2020 | 26.4% | 22.5% |\n| July 16 - July 21, 2020 | 31.3% | 27.8% |\n| July 9 - July 14, 2020 | 30% | 26% |\n| July 2 - July 7, 2020 | 28.6% | 26.6% |\n| June 25 - June 30, 2020 | 28.8% | 25% |\n| June 18 - June 23, 2020 | 27.3% | 23.8% |\n| June 11 - June 16, 2020 | 26.7% | 23.3% |\n| June 4 - June 9, 2020 | 27.8% | 23.7% |\n| May 28 - June 2, 2020 | 27.4% | 23% |\n| May 21 - May 26, 2020 | 26.9% | 22.7% |\n| May 14 - May 19, 2020 | 26.7% | 22.1% |\n| May 7 - May 12, 2020 | 25.8% | 22.3% |\n| Apr 23 - May 5, 2020 | 26.1% | 20.8% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_19
[ "Create a markdown table from the provided chart data." ]
[ "| Characteristic | Goals scored |\n|---------------------|----------------|\n| Robin van Persie | 50 |\n| Memphis Depay | 43 |\n| Klaas Jan Huntelaar | 42 |\n| Patrick Kluivert | 40 |\n| Dennis Bergkamp | 37 |\n| Arjen Robben | 37 |\n| Ruud Van Nistelrooy | 35 |\n| Johan Cruyff | 33 |\n| Abe Lenstra | 32 |\n| Faas Wilkes | 32 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_20
[ "Transform the provided chart into a table in markdown format." ]
[ "| Characteristic | Families in thousands |\n|------------------|-------------------------|\n| 2022 | 608 |\n| 2021 | 645 |\n| 2020 | 579 |\n| 2019 | 543 |\n| 2018 | 597 |\n| 2017 | 590 |\n| 2016 | 555 |\n| 2015 | 504 |\n| 2014 | 563 |\n| 2013 | 536 |\n| 2012 | 524 |\n| 2011 | 531 |\n| 2010 | 496 |\n| 2009 | 447 |\n| 2008 | 432 |\n| 2007 | 431 |\n| 2006 | 369 |\n| 2005 | 383 |\n| 2004 | 348 |\n| 2003 | 348 |\n| 2002 | 337 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_21
[ "Please convert the provided chart into a markdown table." ]
[ "| Characteristic | Revenue in million GBP |\n|------------------|--------------------------|\n| 2022/23 | 10570 |\n| 2021/22 | 2662 |\n| 2020/21 | 522 |\n| 2019/20 | 643 |\n| 2018/19 | 1196 |\n| 2017/18 | 1297 |\n| 2016/17 | 36 |\n| 2015/16 | -85 |\n| 2014/15 | 1691 |\n| 2013/14 | 4499 |\n| 2012/13 | 6020 |\n| 2011/12 | 9619 |\n| 2010/11 | 9135 |\n| 2009/10 | 6590 |\n| 2008/09 | 10621 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_22
[ "Extract the data from the chart and format it as a markdown table." ]
[ "| Characteristic | Unemployment rate |\n|------------------|---------------------|\n| Jan 2024 | 2.9% |\n| Dec 2023 | 3% |\n| Nov 2023 | 2.9% |\n| Oct 2023 | 2.9% |\n| Sep 2023 | 3% |\n| Aug 2023 | 3% |\n| Jul 2023 | 3% |\n| Jun 2023 | 3.1% |\n| May 2023 | 3.2% |\n| Apr 2023 | 3.3% |\n| Mar 2023 | 3.5% |\n| Feb 2023 | 3.5% |\n| Jan 2023 | 3.6% |\n| Dec 2022 | 3.7% |\n| Nov 2022 | 3.7% |\n| Oct 2022 | 3.9% |\n| Sep 2022 | 3.9% |\n| Aug 2022 | 3.8% |\n| Jul 2022 | 3.9% |\n| Jun 2022 | 3.9% |\n| May 2022 | 3.9% |\n| Apr 2022 | 4% |\n| Mar 2022 | 4.1% |\n| Feb 2022 | 4.1% |\n| Jan 2022 | 4.4% |\n| Dec 2021 | 4.3% |\n| Nov 2021 | 4.3% |\n| Oct 2021 | 4.3% |\n| Sep 2021 | 4.3% |\n| Aug 2021 | 4.4% |\n| Jul 2021 | 4.5% |\n| Jun 2021 | 4.8% |\n| May 2021 | 4.9% |\n| Apr 2021 | 5.2% |\n| Mar 2021 | 5.4% |\n| Feb 2021 | 5.7% |\n| Jan 2021 | 5.8% |\n| Dec 2020 | 5.9% |\n| Nov 2020 | 6.1% |\n| Oct 2020 | 6.3% |\n| Sep 2020 | 6.3% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_23
[ "Convert the chart given into a markdown table format." ]
[ "| Characteristic | 10-14 years | 15-24 years | 25-44 years | 45-64 years | 65-74 years | 75 and over |\n|------------------|---------------|---------------|---------------|---------------|---------------|---------------|\n| 2001 | 0.6 | 2.9 | 5.5 | 6.6 | 3.9 | 3.9 |\n| 2002 | 0.6 | 2.9 | 5.9 | 6.7 | 4.1 | 4.1 |\n| 2003 | 0.5 | 3 | 5.7 | 6.9 | 3.8 | 3.8 |\n| 2004 | 0.9 | 3.5 | 6 | 7.6 | 3.7 | 3.9 |\n| 2005 | 0.7 | 3.5 | 5.8 | 7.2 | 4 | 4.1 |\n| 2006 | 0.6 | 3.2 | 5.9 | 7.7 | 4 | 3.8 |\n| 2007 | 0.5 | 3.1 | 6.2 | 8.1 | 4.2 | 3.7 |\n| 2008 | 0.7 | 3.5 | 6.3 | 8.1 | 4.4 | 3.8 |\n| 2009 | 0.9 | 3.6 | 6.2 | 8.5 | 4.6 | 3.5 |\n| 2010 | 0.9 | 3.9 | 6.4 | 8.6 | 4.8 | 3.6 |\n| 2011 | 0.8 | 4 | 6.8 | 8.8 | 5.2 | 3.7 |\n| 2012 | 0.8 | 4.5 | 6.8 | 9.1 | 5.2 | 3.7 |\n| 2013 | 1.4 | 4.5 | 6.8 | 9.4 | 5.4 | 3.7 |\n| 2014 | 1.5 | 4.6 | 7.2 | 9.8 | 5.9 | 4 |\n| 2015 | 1.6 | 5.3 | 7.5 | 10.2 | 5.7 | 4.5 |\n| 2016 | 1.7 | 5.4 | 7.6 | 9.9 | 6.2 | 4.2 |\n| 2017 | 1.7 | 5.8 | 7.8 | 9.7 | 6.2 | 4 |\n| 2018 | 2 | 5.8 | 7.9 | 9.8 | 6.2 | 4 |\n| 2019 | 2 | 5.5 | 7.4 | 9.6 | 5.9 | 4.3 |\n| 2020 | 2 | 5.8 | 7.2 | 7.9 | 5.6 | 3.9 |\n| 2021 | 2.3 | 6.1 | 7.4 | 8.2 | 5.6 | 4.4 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_24
[ "Transform the provided chart into a table in markdown format." ]
[ "| Characteristic | Share of respondents |\n|------------------|------------------------|\n| 2023 | 17% |\n| 2022 | 16% |\n| 2021 | 12% |\n| 2020 | - |\n| 2019 | 12% |\n| 2018 | - |\n| 2017 | 12% |\n| 2016 | 13% |\n| 2015 | 11% |\n| 2014 | - |\n| 2013 | 7% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_25
[ "Can you parse the chart and provide it as a markdown table?" ]
[ "| Characteristic | Number of immigrants |\n|------------------|------------------------|\n| 2022-2023 | 64470 |\n| 2021-2022 | 62798 |\n| 2020-2021 | 33673 |\n| 2019-2020 | 33295 |\n| 2018-2019 | 44866 |\n| 2017-2018 | 47906 |\n| 2016-2017 | 53205 |\n| 2015-2016 | 55357 |\n| 2014-2015 | 45509 |\n| 2013-2014 | 51697 |\n| 2012-2013 | 56003 |\n| 2011-2012 | 54213 |\n| 2010-2011 | 53390 |\n| 2009-2010 | 51521 |\n| 2008-2009 | 46508 |\n| 2007-2008 | 45870 |\n| 2006-2007 | 45080 |\n| 2005-2006 | 42001 |\n| 2004-2005 | 43418 |\n| 2003-2004 | 44555 |\n| 2002-2003 | 34913 |\n| 2001-2002 | 39114 |\n| 2000-2001 | 36716 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_26
[ "Can you parse the chart and provide it as a markdown table?" ]
[ "| Characteristic | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |\n|------------------|--------|--------|--------|--------|--------|--------|--------|--------|\n| Dec | 5.13 | 5.93 | 5.77 | 6.54 | 6.61 | 6.58 | 6.47 | - |\n| Nov | 5.11 | 5.17 | 4.96 | 5.17 | 5.91 | 6.37 | 5.9 | - |\n| Oct | 5.81 | 5.48 | 5.74 | 5.73 | 6.17 | 5.94 | 6.74 | - |\n| Sep | 5.76 | 5.86 | 5.08 | 5.18 | 5.65 | 6.55 | 6.16 | - |\n| Aug | 6.21 | 5.44 | 5.23 | 6.08 | 6.18 | 6.08 | 6.98 | - |\n| Jul | 5.94 | 5.22 | 5.43 | 5.75 | 6.43 | 5.85 | 6.99 | - |\n| Jun | 5.58 | 5.19 | 5.24 | 5.35 | 5.13 | 5.93 | 6.14 | - |\n| May | 5.14 | 5.13 | 5.27 | 5.44 | 5.63 | 5.75 | 5.98 | - |\n| Apr | 5.59 | 5.48 | 5.5 | 5.32 | 6.2 | 5.66 | 5.96 | - |\n| Mar | 5.45 | 5.62 | 5.23 | 5.65 | 5.18 | 5.55 | 6.21 | 6.57 |\n| Feb | 4.99 | 5.19 | 5.19 | 5.37 | 5.55 | 5.65 | 6.39 | 5.63 |\n| Jan | 5.15 | 5.6 | 5.75 | 5.5 | 5.19 | 5.87 | 5.86 | 5.71 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_27
[ "Parse the chart provided and convert it into a markdown table." ]
[ "| Characteristic | Total assets in billion yuan |\n|------------------|--------------------------------|\n| 2023 | 32432.2 |\n| 2022 | 28913.9 |\n| 2021 | 26722.4 |\n| 2020 | 24402.7 |\n| 2019 | 22769.7 |\n| 2018 | 21267.3 |\n| 2017 | 19467.4 |\n| 2016 | 18148.9 |\n| 2015 | 16815.6 |\n| 2014 | 15251.4 |\n| 2013 | 13874.3 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_28
[ "Convert the chart given into a markdown table format." ]
[ "| Characteristic | Electricty consumption in gigawatt hours |\n|------------------|--------------------------------------------|\n| 2022 | 7911 |\n| 2021 | 8277.7 |\n| 2020 | 8244.5 |\n| 2019 | 7681.3 |\n| 2018 | 7231.5 |\n| 2017 | 7289.9 |\n| 2016 | 7585.8 |\n| 2015 | 7220.9 |\n| 2014 | 6924.4 |\n| 2013 | 6754.9 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_29
[ "Turn the given chart into a table in markdown format, please." ]
[ "| Characteristic | Number of births |\n|------------------|--------------------|\n| 2022 | 738819 |\n| 2021 | 795492 |\n| 2020 | 773144 |\n| 2019 | 778090 |\n| 2018 | 787523 |\n| 2017 | 784901 |\n| 2016 | 792141 |\n| 2015 | 737575 |\n| 2014 | 714927 |\n| 2013 | 682069 |\n| 2012 | 673544 |\n| 2011 | 662685 |\n| 2010 | 677947 |\n| 2009 | 665126 |\n| 2008 | 682514 |\n| 2007 | 684862 |\n| 2006 | 672724 |\n| 2005 | 685795 |\n| 2004 | 705622 |\n| 2003 | 706721 |\n| 2002 | 719250 |\n| 2001 | 734475 |\n| 2000 | 766999 |\n| 1999 | 770744 |\n| 1998 | 785034 |\n| 1997 | 812173 |\n| 1996 | 796013 |\n| 1995 | 765221 |\n| 1994 | 769603 |\n| 1993 | 798447 |\n| 1992 | 809114 |\n| 1991 | 830019 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_30
[ "Transform the provided chart into a table in markdown format." ]
[ "| Characteristic | Number of suicides |\n|------------------|----------------------|\n| 2023 | 21837 |\n| 2022 | 21881 |\n| 2021 | 21007 |\n| 2020 | 21081 |\n| 2019 | 20169 |\n| 2018 | 20840 |\n| 2017 | 21321 |\n| 2016 | 21897 |\n| 2015 | 24025 |\n| 2014 | 25427 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_31
[ "Extract the data from the chart and format it as a markdown table." ]
[ "| Acquiree - Acquirer (date) | Value in billion U.S. dollars |\n|--------------------------------------------------------------|---------------------------------|\n| Activision Blizzard acquired by Microsoft (Jan 2022) | 68.7 |\n| Zynga acquired by Take-Two Interactive (Jan 2022) | 12.7 |\n| Supercell acquired by Tencent (Jun 2016) | 8.6 |\n| ZeniMax acquired by Microsoft (Sep 2020) | 7.5 |\n| King.com acquired by Activision Blizzard (Nov 2015) | 5.9 |\n| Bungie acquired by Sony Interactive Entertainment (Jan 2022) | 3.6 |\n| Mojang Studios acquired by Microsoft (Sep 2014) | 2.5 |\n| Glu Mobile acquired by Electronic Arts (Feb 2021) | 2.1 |\n| Oculus acquired by Facebook (Mar 2014) | 2 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_32
[ "Turn the given chart into a table in markdown format, please." ]
[ "| Year | Total number of employees |\n|--------|-----------------------------|\n| 2023 | 213000 |\n| 2022 | 196006 |\n| 2021 | 175647 |\n| 2020 | 163000 |\n| 2019 | 156000 |\n| 2018 | 136633 |\n| 2017 | 128637 |\n| 2016 | 116786 |\n| 2015 | 125346 |\n| 2014 | 121289 |\n| 2013 | 114635 |\n| 2012 | 106348 |\n| 2011 | 97559 |\n| 2010 | 83542 |\n| 2009 | 77302 |\n| 2008 | 77087 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_33
[ "Convert the chart given into a markdown table format." ]
[ "| Characteristic | Total | Exports | Imports |\n|------------------|---------|-----------|-----------|\n| Jun '24 | 45.43 | 11.32 | 34.11 |\n| May '24 | 46.1 | 11.06 | 35.04 |\n| Apr '24 | 43.15 | 11.52 | 31.63 |\n| Mar '24 | 42.71 | 12.77 | 29.94 |\n| Feb '24 | 43.9 | 12.01 | 31.89 |\n| Jan '24 | 47.86 | 12.07 | 35.79 |\n| Dec '23 | 46.1 | 12.01 | 34.09 |\n| Nov '23 | 49.39 | 13.9 | 35.49 |\n| Oct '23 | 57.62 | 16.05 | 41.57 |\n| Sep '23 | 52.11 | 11.83 | 40.28 |\n| Aug '23 | 47.49 | 10.77 | 36.72 |\n| Jul '23 | 46.76 | 10.66 | 36.1 |\n| Jun '23 | 44.55 | 10.22 | 34.33 |\n| May '23 | 46.57 | 10.68 | 35.89 |\n| Apr '23 | 45.87 | 12.79 | 33.08 |\n| Mar '23 | 44.97 | 14.18 | 30.79 |\n| Feb '23 | 42.24 | 11.62 | 30.62 |\n| Jan '23 | 51.34 | 13.09 | 38.25 |\n| Dec '22 | 51.09 | 13.79 | 37.3 |\n| Nov '22 | 52.46 | 15.58 | 36.88 |\n| Oct '22 | 60.27 | 15.7 | 44.57 |\n| Sep '22 | 61.2 | 11.95 | 49.25 |\n| Aug '22 | 63.26 | 12.91 | 50.35 |\n| Jul '22 | 58.93 | 12.27 | 46.66 |\n| Jun '22 | 60.31 | 11.68 | 48.63 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_34
[ "Please generate a markdown table from the given chart." ]
[ "| Characteristic | Sales volume in units |\n|------------------|-------------------------|\n| Triber | 1457 |\n| Kiger | 810 |\n| Kwid | 565 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_35
[ "Create a markdown table from the provided chart data." ]
[ "| Characteristic | Personal saving rate |\n|------------------|------------------------|\n| Jun 2024 | 3.4% |\n| May 2024 | 3.5% |\n| Apr 2024 | 3.5% |\n| Mar 2024 | 3.5% |\n| Feb 2024 | 3.7% |\n| Jan 2024 | 4% |\n| Dec 2023 | 3.6% |\n| Nov 2023 | 3.7% |\n| Oct 2023 | 3.8% |\n| Sep 2023 | 3.9% |\n| Aug 2023 | 4.5% |\n| Jul 2023 | 4.4% |\n| Jun 2023 | 4.8% |\n| May 2023 | 5.3% |\n| Apr 2023 | 5.2% |\n| Mar 2023 | 5.2% |\n| Feb 2023 | 4.7% |\n| Jan 2023 | 4.4% |\n| Dec 2022 | 3.4% |\n| Nov 2022 | 3.3% |\n| Oct 2022 | 3% |\n| Sep 2022 | 3% |\n| Aug 2022 | 3.2% |\n| Jul 2022 | 3.5% |\n| Jun 2022 | 2.7% |\n| May 2022 | 3.1% |\n| Apr 2022 | 3.1% |\n| Mar 2022 | 3.4% |\n| Feb 2022 | 4.1% |\n| Jan 2022 | 4.1% |\n| Dec 2021 | 6.1% |\n| Nov 2021 | 6.2% |\n| Oct 2021 | 6.6% |\n| Sep 2021 | 7.2% |\n| Aug 2021 | 8.7% |\n| Jul 2021 | 9.4% |\n| Jun 2021 | 8.7% |\n| May 2021 | 9.9% |\n| Apr 2021 | 12.3% |\n| Mar 2021 | 26.1% |\n| Feb 2021 | 12.8% |\n| Jan 2021 | 19.3% |\n| Dec 2020 | 12% |\n| Nov 2020 | 12.1% |\n| Oct 2020 | 12.8% |\n| Sep 2020 | 13.2% |\n| Aug 2020 | 14% |\n| Jul 2020 | 17.9% |\n| Jun 2020 | 18.4% |\n| May 2020 | 22.7% |\n| Apr 2020 | 32% |\n| Mar 2020 | 12.5% |\n| Feb 2020 | 7.7% |\n| Jan 2020 | 7.2% |\n| Dec 2019 | 6.4% |\n| Nov 2019 | 7.1% |\n| Oct 2019 | 7.3% |\n| Sep 2019 | 7.2% |\n| Aug 2019 | 7% |\n| Jul 2019 | 6.8% |\n| Jun 2019 | 7.1% |\n| May 2019 | 7.3% |\n| Apr 2019 | 7.7% |\n| Mar 2019 | 7.9% |\n| Feb 2019 | 8.5% |\n| Jan 2019 | 8.2% |\n| Dec 2018 | 8.4% |\n| Nov 2018 | 6.5% |\n| Oct 2018 | 6.7% |\n| Sep 2018 | 6.8% |\n| Aug 2018 | 6.6% |\n| Jul 2018 | 6.5% |\n| Jun 2018 | 6.3% |\n| May 2018 | 6% |\n| Apr 2018 | 6% |\n| Mar 2018 | 5.9% |\n| Feb 2018 | 5.8% |\n| Jan 2018 | 5.7% |\n| Dec 2017 | 5% |\n| Nov 2017 | 5.6% |\n| Oct 2017 | 6% |\n| Sep 2017 | 5.9% |\n| Aug 2017 | 6.1% |\n| Jul 2017 | 6% |\n| Jun 2017 | 6% |\n| May 2017 | 6.3% |\n| Apr 2017 | 5.7% |\n| Mar 2017 | 5.6% |\n| Feb 2017 | 5.6% |\n| Jan 2017 | 5.3% |\n| Dec 2016 | 5% |\n| Nov 2016 | 5.4% |\n| Oct 2016 | 5.3% |\n| Sep 2016 | 5.1% |\n| Aug 2016 | 5.1% |\n| Jul 2016 | 5.1% |\n| Jun 2016 | 4.9% |\n| May 2016 | 5.3% |\n| Apr 2016 | 5.5% |\n| Mar 2016 | 5.9% |\n| Feb 2016 | 5.6% |\n| Jan 2016 | 6.1% |\n| Dec 2015 | 5.8% |\n| Nov 2015 | 5.6% |\n| Oct 2015 | 5.8% |\n| Sep 2015 | 5.8% |\n| Aug 2015 | 5.6% |\n| Jul 2015 | 5.6% |\n| Jun 2015 | 5.7% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_36
[ "Kindly parse the given chart into a markdown table." ]
[ "| Characteristic | Revenue | Net income |\n|------------------|-----------|--------------|\n| 2009 | 45297 | 1968 |\n| 2010 | 49545 | 3338 |\n| 2011 | 53105 | 3804 |\n| 2012 | 54127 | 807 |\n| 2013 | 55438 | 4372 |\n| 2014 | 59178 | 3034 |\n| 2015 | 59186 | 4840 |\n| 2016 | 61610 | 3422 |\n| 2017 | 66585 | 4905 |\n| 2018 | 71861 | 4791 |\n| 2019 | 74094 | 4440 |\n| 2020 | 84628 | 1343 |\n| 2021 | 97287 | 12890 |\n| 2022 | 100338 | 11548 |\n| 2023 | 90958 | 6708 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_37
[ "Extract the data from the chart and format it as a markdown table." ]
[ "| Characteristic | Number of followers |\n|------------------|-----------------------|\n| Swebliss | 234231 |\n| EmiliaHult | 204916 |\n| SampeV2 | 196431 |\n| Yacine | 190547 |\n| fragbite | 181381 |\n| zaitr0s | 172347 |\n| Kevzter | 145601 |\n| RwinShow | 143261 |\n| HeatoNcs | 123923 |\n| keebabb | 121631 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_38
[ "Convert the chart given into a markdown table format." ]
[ "| Characteristic | Confirmed cases | Recoveries | Deaths |\n|------------------|-------------------|--------------|----------|\n| 10/22/23 | 23078812 | 22514317 | 400145 |\n| 10/15/23 | 23061960 | 22498445 | 400102 |\n| 10/08/23 | 23045833 | 22482148 | 400077 |\n| 10/01/23 | 23029404 | 22468635 | 400047 |\n| 09/24/23 | 23014969 | 22458308 | 400023 |\n| 09/17/23 | 23003453 | 22451028 | 400009 |\n| 09/03/23 | 22995765 | 22446519 | 399999 |\n| 08/27/23 | 22990548 | 22442864 | 399983 |\n| 08/20/23 | 22986528 | 22439760 | 399972 |\n| 08/13/23 | 22983150 | 22436991 | 399938 |\n| 08/06/23 | 22980206 | 22434058 | 399897 |\n| 07/30/23 | 22977274 | 22430122 | 399854 |\n| 07/23/23 | 22974289 | 22424710 | 399814 |\n| 07/16/23 | 22971107 | 22419628 | 399772 |\n| 07/09/23 | 22967718 | 22414985 | 399715 |\n| 09/10/23 | 23003453 | 22451028 | 400009 |\n| 07/02/23 | 22963688 | 22408708 | 399649 |\n| 06/25/23 | 22959198 | 22402524 | 399563 |\n| 06/18/23 | 22953409 | 22395145 | 399436 |\n| 06/11/23 | 22949243 | 22389297 | 399339 |\n| 06/04/23 | 22942458 | 22379263 | 399226 |\n| 05/28/23 | 22931528 | 22364179 | 399083 |\n| 05/21/23 | 22917873 | 22346830 | 398919 |\n| 05/14/23 | 22900755 | 22323212 | 398736 |\n| 05/11/23 | 22889242 | 22306208 | 398630 |\n| 05/10/23 | 22886898 | 22301223 | 398602 |\n| 05/09/23 | 22884493 | 22297945 | 398578 |\n| 05/08/23 | 22881767 | 22294793 | 398553 |\n| 05/07/23 | 22878649 | 22291137 | 398525 |\n| 05/06/23 | 22874838 | 22286388 | 398496 |\n| 05/05/23 | 22870557 | 22279776 | 398463 |\n| 05/04/23 | 22866342 | 22273109 | 398431 |\n| 05/03/23 | 22862069 | 22265627 | 398399 |\n| 05/02/23 | 22858855 | 22259078 | 398366 |\n| 05/01/23 | 22855451 | 22254575 | 398336 |\n| 04/30/23 | 22851209 | 22249894 | 398305 |\n| 04/29/23 | 22845868 | 22244169 | 398271 |\n| 04/28/23 | 22839878 | 22236983 | 398239 |\n| 04/27/23 | 22833330 | 22229208 | 398208 |\n| 04/26/23 | 22826827 | 22221995 | 398175 |\n| 04/25/23 | 22820815 | 22214413 | 398142 |\n| 04/24/23 | 22815722 | 22207016 | 398107 |\n| 04/23/23 | 22810264 | 22202099 | 398073 |\n| 04/22/23 | 22803875 | 22196590 | 398041 |\n| 04/21/23 | 22796845 | 22189176 | 398007 |\n| 04/20/23 | 22789729 | 22181767 | 397974 |\n| 04/19/23 | 22782688 | 22174015 | 397939 |\n| 04/18/23 | 22776383 | 22165514 | 397901 |\n| 04/17/23 | 22771126 | 22157098 | 397864 |\n| 04/16/23 | 22765337 | 22151154 | 397828 |\n| 04/15/23 | 22758243 | 22144113 | 397790 |\n| 04/14/23 | 22750798 | 22135582 | 397753 |\n| 04/13/23 | 22742716 | 22125977 | 397718 |\n| 04/12/23 | 22734824 | 22116159 | 397681 |\n| 04/11/23 | 22727542 | 22105009 | 397642 |\n| 04/10/23 | 22721610 | 22095237 | 397604 |\n| 04/09/23 | 22714988 | 22088256 | 397570 |\n| 04/08/23 | 22706980 | 22080949 | 397534 |\n| 04/07/23 | 22698025 | 22070993 | 397497 |\n| 04/06/23 | 22689110 | 22060308 | 397459 |\n| 04/05/23 | 22679739 | 22049429 | 397420 |\n| 04/04/23 | 22671103 | 22037622 | 397384 |\n| 04/03/23 | 22663962 | 22025358 | 397346 |\n| 04/02/23 | 22656126 | 22017621 | 397312 |\n| 04/01/23 | 22646535 | 22007788 | 397281 |\n| 03/31/23 | 22636589 | 21995504 | 397245 |\n| 03/30/23 | 22625524 | 21982530 | 397211 |\n| 03/29/23 | 22614774 | 21970063 | 397179 |\n| 03/28/23 | 22603646 | 21957466 | 397146 |\n| 03/27/23 | 22595199 | 21946453 | 397109 |\n| 03/26/23 | 22586210 | 21938293 | 397078 |\n| 03/25/23 | 22575270 | 21928394 | 397046 |\n| 03/24/23 | 22562888 | 21915850 | 397009 |\n| 03/23/23 | 22550395 | 21902407 | 396974 |\n| 03/22/23 | 22537883 | 21888648 | 396938 |\n| 03/21/23 | 22525882 | 21873518 | 396899 |\n| 03/20/23 | 22516509 | 21860173 | 396865 |\n| 03/19/23 | 22506199 | 21851580 | 396834 |\n| 03/18/23 | 22493866 | 21841765 | 396801 |\n| 03/17/23 | 22480857 | 21829610 | 396769 |\n| 03/16/23 | 22467942 | 21817461 | 396734 |\n| 03/15/23 | 22454933 | 21806101 | 396696 |\n| 03/14/23 | 22442887 | 21792012 | 396664 |\n| 03/13/23 | 22433361 | 21779606 | 396620 |\n| 03/12/23 | 22423093 | 21770130 | 396586 |\n| 03/11/23 | 22411108 | 21758912 | 396549 |\n| 03/10/23 | 22398867 | 21774431 | 396507 |\n| 03/09/23 | 22388556 | 21729768 | 396463 |\n| 03/08/23 | 22376060 | 21717232 | 396423 |\n| 03/07/23 | 22363740 | 21700795 | 396378 |\n| 03/06/23 | 22353291 | 21686422 | 396336 |\n| 03/05/23 | 22342128 | 21677256 | 396298 |\n| 03/04/23 | 22328569 | 21668320 | 396255 |\n| 03/03/23 | 22314520 | 21656858 | 396216 |\n| 03/02/23 | 22300004 | 21645346 | 396176 |\n| 03/01/23 | 22285908 | 21631409 | 396137 |\n| 02/28/23 | 22272470 | 21614852 | 396100 |\n| 02/27/23 | 22262717 | 21600487 | 396065 |\n| 02/26/23 | 22253137 | 21591237 | 396035 |\n| 02/25/23 | 22242563 | 21581463 | 396004 |\n| 02/24/23 | 22232492 | 21570255 | 395970 |\n| 02/23/23 | 22218663 | 21557637 | 395938 |\n| 02/22/23 | 22203942 | 21542609 | 395901 |\n| 02/21/23 | 22189988 | 21527201 | 395867 |\n| 02/20/23 | 22178711 | 21513207 | 395829 |\n| 02/19/23 | 22166635 | 21504809 | 395799 |\n| 02/18/23 | 22152402 | 21495493 | 395763 |\n| 02/17/23 | 22137084 | 21484054 | 395727 |\n| 02/16/23 | 22121725 | 21472809 | 395689 |\n| 02/15/23 | 22106985 | 21461669 | 395652 |\n| 02/14/23 | 22093549 | 21449598 | 395616 |\n| 02/13/23 | 22083723 | 21439178 | 395581 |\n| 02/12/23 | 22072717 | 21432694 | 395551 |\n| 02/11/23 | 22060370 | 21425889 | 395520 |\n| 02/10/23 | 22047525 | 21417631 | 395484 |\n| 02/09/23 | 22035133 | 21410128 | 395447 |\n| 02/08/23 | 22022832 | 21401443 | 395406 |\n| 02/07/23 | 22012443 | 21393339 | 395362 |\n| 02/06/23 | 22004828 | 21384884 | 395319 |\n| 02/05/23 | 21996744 | 21379874 | 395279 |\n| 02/04/23 | 21987334 | 21374674 | 395234 |\n| 02/03/23 | 21977653 | 21368340 | 395194 |\n| 02/02/23 | 21967983 | 21362029 | 395148 |\n| 02/01/23 | 21958696 | 21356008 | 395108 |\n| 01/31/23 | 21950192 | 21349279 | 395067 |\n| 01/30/23 | 21944400 | 21343177 | 395022 |\n| 01/29/23 | 21938421 | 21339316 | 394984 |\n| 01/28/23 | 21931480 | 21335704 | 394944 |\n| 01/27/23 | 21924261 | 21331320 | 394902 |\n| 01/26/23 | 21917097 | 21326444 | 394861 |\n| 01/25/23 | 21910020 | 21321174 | 394821 |\n| 01/24/23 | 21903578 | 21315632 | 394777 |\n| 01/23/23 | 21898876 | 21310166 | 394735 |\n| 01/22/23 | 21894157 | 21306526 | 394694 |\n| 01/21/23 | 21888428 | 21302505 | 394653 |\n| 01/20/23 | 21882414 | 21297919 | 394610 |\n| 01/19/23 | 21876336 | 21293221 | 394569 |\n| 01/18/23 | 21870422 | 21288067 | 394529 |\n| 01/17/23 | 21864944 | 21283039 | 394483 |\n| 01/16/23 | 21860902 | 21278106 | 394438 |\n| 01/15/23 | 21856613 | 21274640 | 394398 |\n| 01/14/23 | 21851824 | 21271432 | 394355 |\n| 01/13/23 | 21846722 | 21267545 | 394309 |\n| 01/12/23 | 21841644 | 21263274 | 394262 |\n| 01/11/23 | 21836969 | 21258733 | 394214 |\n| 01/10/23 | 21832768 | 21253611 | 394168 |\n| 01/09/23 | 21829736 | 21248549 | 394121 |\n| 01/08/23 | 21826982 | 21245559 | 394080 |\n| 01/07/23 | 21823855 | 21241865 | 394035 |\n| 01/06/23 | 21820552 | 21237402 | 393986 |\n| 01/05/23 | 21817113 | 21232717 | 393945 |\n| 01/04/23 | 21813839 | 21227998 | 393898 |\n| 01/03/23 | 21810511 | 21223056 | 393853 |\n| 01/02/23 | 21807431 | 21217574 | 393805 |\n| 01/01/23 | 21803547 | 21213085 | 393762 |\n| 12/31/22 | 21798509 | 21207802 | 393712 |\n| 12/30/22 | 21792982 | 21200287 | 393654 |\n| 12/29/22 | 21787172 | 21192592 | 393604 |\n| 12/28/22 | 21781026 | 21184777 | 393548 |\n| 12/27/22 | 21774824 | 21176667 | 393492 |\n| 12/26/22 | 21769627 | 21168975 | 393433 |\n| 12/25/22 | 21764292 | 21163398 | 393383 |\n| 12/24/22 | 21757697 | 21157222 | 393331 |\n| 12/23/22 | 21750711 | 21149218 | 393277 |\n| 12/22/22 | 21743302 | 21140943 | 393220 |\n| 12/21/22 | 21735851 | 21131700 | 393166 |\n| 12/20/22 | 21728409 | 21123341 | 393107 |\n| 12/19/22 | 21722415 | 21115232 | 393050 |\n| 12/18/22 | 21716074 | 21109668 | 393000 |\n| 12/17/22 | 21708852 | 21103330 | 392949 |\n| 12/16/22 | 21701321 | 21096061 | 392891 |\n| 12/15/22 | 21692870 | 21088668 | 392832 |\n| 12/14/22 | 21685037 | 21081129 | 392775 |\n| 12/13/22 | 21677505 | 21073454 | 392720 |\n| 12/12/22 | 21671528 | 21066616 | 392661 |\n| 12/11/22 | 21665152 | 21061584 | 392611 |\n| 12/10/22 | 21658056 | 21055866 | 392560 |\n| 12/09/22 | 21650659 | 21049420 | 392506 |\n| 12/08/22 | 21643194 | 21043426 | 392454 |\n| 12/07/22 | 21635764 | 21037111 | 392400 |\n| 12/06/22 | 21628829 | 21030317 | 392342 |\n| 12/05/22 | 21623268 | 21023627 | 392283 |\n| 12/04/22 | 21617601 | 21018980 | 392231 |\n| 12/03/22 | 21611003 | 21014391 | 392176 |\n| 12/02/22 | 21604334 | 21009259 | 392117 |\n| 12/01/22 | 21597613 | 21003575 | 392060 |\n| 11/30/22 | 21590828 | 20997710 | 392002 |\n| 11/29/22 | 21584740 | 20992153 | 391943 |\n| 11/28/22 | 21579812 | 20986290 | 391890 |\n| 11/27/22 | 21574764 | 20982028 | 391840 |\n| 11/26/22 | 21568846 | 20977854 | 391789 |\n| 11/25/22 | 21562758 | 20972766 | 391736 |\n| 11/24/22 | 21556766 | 20967429 | 391680 |\n| 11/23/22 | 21550982 | 20961317 | 391622 |\n| 11/22/22 | 21545351 | 20954532 | 391568 |\n| 11/21/22 | 21540891 | 20948088 | 391509 |\n| 11/20/22 | 21536229 | 20943924 | 391454 |\n| 11/19/22 | 21531012 | 20939481 | 391395 |\n| 11/18/22 | 21525567 | 20932860 | 391333 |\n| 11/17/22 | 21520021 | 20925972 | 391273 |\n| 11/16/22 | 21514341 | 20919237 | 391212 |\n| 11/15/22 | 21508961 | 20912331 | 391149 |\n| 11/14/22 | 21504530 | 20905977 | 391085 |\n| 11/13/22 | 21499952 | 20901517 | 391024 |\n| 11/12/22 | 21494588 | 20896445 | 390964 |\n| 11/11/22 | 21489074 | 20890728 | 390902 |\n| 11/10/22 | 21483520 | 20884515 | 390835 |\n| 11/09/22 | 21477926 | 20876892 | 390774 |\n| 11/08/22 | 21472591 | 20868400 | 390712 |\n| 11/07/22 | 21468271 | 20860277 | 390649 |\n| 11/06/22 | 21463850 | 20855333 | 390588 |\n| 11/05/22 | 21459284 | 20849598 | 390526 |\n| 11/04/22 | 21453667 | 20841779 | 390459 |\n| 11/03/22 | 21447518 | 20832520 | 390388 |\n| 11/02/22 | 21441143 | 20822746 | 390315 |\n| 11/01/22 | 21434758 | 20812505 | 390247 |\n| 10/31/22 | 21429506 | 20803197 | 390175 |\n| 10/30/22 | 21423725 | 20796124 | 390104 |\n| 10/29/22 | 21416922 | 20787116 | 390029 |\n| 10/28/22 | 21409815 | 20775589 | 389950 |\n| 10/27/22 | 21402209 | 20763904 | 389872 |\n| 10/26/22 | 21394360 | 20751864 | 389790 |\n| 10/25/22 | 21386842 | 20740347 | 389710 |\n| 10/24/22 | 21380264 | 20727435 | 389626 |\n| 10/23/22 | 21372935 | 20719106 | 389537 |\n| 10/22/22 | 21364263 | 20708528 | 389449 |\n| 10/21/22 | 21354915 | 20693493 | 389359 |\n| 10/20/22 | 21345154 | 20677821 | 389266 |\n| 10/19/22 | 21335087 | 20659469 | 389176 |\n| 10/18/22 | 21324431 | 20638610 | 389084 |\n| 10/17/22 | 21314957 | 20618358 | 388993 |\n| 10/16/22 | 21304554 | 20603845 | 388901 |\n| 10/15/22 | 21292200 | 20585404 | 388807 |\n| 10/14/22 | 21278816 | 20559274 | 388709 |\n| 10/13/22 | 21264080 | 20531754 | 388610 |\n| 10/12/22 | 21248603 | 20500961 | 388509 |\n| 10/11/22 | 21232963 | 20470552 | 388404 |\n| 10/10/22 | 21218993 | 20439043 | 388295 |\n| 10/09/22 | 21203332 | 20414224 | 388199 |\n| 10/08/22 | 21184513 | 20385431 | 388097 |\n| 10/07/22 | 21163942 | 20347142 | 387991 |\n| 10/06/22 | 21141674 | 20307569 | 387887 |\n| 10/05/22 | 21118629 | 20266033 | 387779 |\n| 10/04/22 | 21094872 | 20221339 | 387666 |\n| 10/03/22 | 21073185 | 20175902 | 387559 |\n| 10/02/22 | 21049027 | 20140608 | 387468 |\n| 10/01/22 | 21018942 | 20093616 | 387372 |\n| 09/30/22 | 20985756 | 20040988 | 387269 |\n| 09/29/22 | 20948470 | 19979763 | 387163 |\n| 09/28/22 | 20909731 | 19921826 | 387054 |\n| 09/27/22 | 20869714 | 19860311 | 386943 |\n| 09/26/22 | 20833109 | 19800764 | 386842 |\n| 09/25/22 | 20792921 | 19756507 | 386757 |\n| 09/24/22 | 20746163 | 19710599 | 386662 |\n| 09/23/22 | 20694894 | 19652187 | 386551 |\n| 09/22/22 | 20641559 | 19594562 | 386447 |\n| 09/21/22 | 20588102 | 19537543 | 386341 |\n| 09/20/22 | 20535057 | 19477825 | 386234 |\n| 09/19/22 | 20488583 | 19425631 | 386136 |\n| 09/18/22 | 20439095 | 19387036 | 386045 |\n| 09/17/22 | 20382344 | 19344838 | 385944 |\n| 09/16/22 | 20324039 | 19294876 | 385837 |\n| 09/15/22 | 20265004 | 19244856 | 385727 |\n| 09/14/22 | 20208878 | 19195104 | 385628 |\n| 09/13/22 | 20157143 | 19144853 | 385530 |\n| 09/12/22 | 20113098 | 19096666 | 385429 |\n| 09/11/22 | 20066610 | 19061006 | 385348 |\n| 09/10/22 | 20013781 | 19023718 | 385262 |\n| 09/09/22 | 19960295 | 18977695 | 385165 |\n| 09/08/22 | 19908189 | 18926609 | 385069 |\n| 09/07/22 | 19857571 | 18876316 | 384976 |\n| 09/06/22 | 19809613 | 18823705 | 384882 |\n| 09/05/22 | 19771113 | 18777401 | 384787 |\n| 09/04/22 | 19729423 | 18746698 | 384711 |\n| 09/03/22 | 19681381 | 18710966 | 384624 |\n| 09/02/22 | 19629682 | 18672586 | 384532 |\n| 09/01/22 | 19578730 | 18635574 | 384441 |\n| 08/31/22 | 19528969 | 18596634 | 384346 |\n| 08/30/22 | 19482648 | 18557580 | 384254 |\n| 08/29/22 | 19445581 | 18520851 | 384160 |\n| 08/28/22 | 19405923 | 18495961 | 384083 |\n| 08/27/22 | 19359066 | 18467738 | 384000 |\n| 08/26/22 | 19311973 | 18435096 | 383910 |\n| 08/25/22 | 19265521 | 18401387 | 383829 |\n| 08/24/22 | 19221602 | 18370612 | 383758 |\n| 08/23/22 | 19181371 | 18337736 | 383686 |\n| 08/22/22 | 19150404 | 18306867 | 383617 |\n| 08/21/22 | 19117343 | 18284586 | 383560 |\n| 08/20/22 | 19077674 | 18262350 | 383496 |\n| 08/19/22 | 19037664 | 18238128 | 383427 |\n| 08/18/22 | 19000055 | 18216241 | 383362 |\n| 08/17/22 | 18964246 | 18194750 | 383300 |\n| 08/16/22 | 18931140 | 18172070 | 383237 |\n| 08/15/22 | 18907231 | 18151487 | 383178 |\n| 08/14/22 | 18881958 | 18136077 | 383125 |\n| 08/13/22 | 18852976 | 18121135 | 383071 |\n| 08/12/22 | 18824282 | 18104261 | 383011 |\n| 08/11/22 | 18796472 | 18089941 | 382954 |\n| 08/10/22 | 18770657 | 18075720 | 382902 |\n| 08/09/22 | 18746886 | 18061168 | 382846 |\n| 08/08/22 | 18730561 | 18048076 | 382786 |\n| 08/07/22 | 18712699 | 18039355 | 382741 |\n| 08/06/22 | 18692396 | 18030626 | 382697 |\n| 08/05/22 | 18672422 | 18019883 | 382651 |\n| 08/04/22 | 18653867 | 18010066 | 382604 |\n| 08/03/22 | 18636741 | 18000314 | 382560 |\n| 08/02/22 | 18622103 | 17990048 | 382517 |\n| 08/01/22 | 18612543 | 17981475 | 382469 |\n| 07/31/22 | 18601719 | 17975398 | 382433 |\n| 07/30/22 | 18589221 | 17969342 | 382395 |\n| 07/29/22 | 18576973 | 17963133 | 382352 |\n| 07/28/22 | 18565551 | 17958463 | 382313 |\n| 07/27/22 | 18554036 | 17953445 | 382272 |\n| 07/26/22 | 18545009 | 17948330 | 382236 |\n| 07/25/22 | 18538826 | 17942908 | 382189 |\n| 07/24/22 | 18532255 | 17938674 | 382155 |\n| 07/23/22 | 18524732 | 17933862 | 382118 |\n| 07/22/22 | 18517779 | 17929059 | 382080 |\n| 07/21/22 | 18511120 | 17924372 | 382039 |\n| 07/20/22 | 18504729 | 17919843 | 381997 |\n| 07/19/22 | 18499044 | 17915526 | 381960 |\n| 07/18/22 | 18494844 | 17911340 | 381916 |\n| 07/17/22 | 18490296 | 17908809 | 381881 |\n| 07/16/22 | 18485632 | 17906326 | 381835 |\n| 07/15/22 | 18480934 | 17903447 | 381794 |\n| 07/14/22 | 18476477 | 17900518 | 381754 |\n| 07/13/22 | 18472239 | 17897428 | 381711 |\n| 07/12/22 | 18468310 | 17894065 | 381669 |\n| 07/11/22 | 18465308 | 17890856 | 381621 |\n| 07/10/22 | 18462211 | 17888560 | 381583 |\n| 07/09/22 | 18458813 | 17886064 | 381544 |\n| 07/08/22 | 18455274 | 17882978 | 381499 |\n| 07/07/22 | 18451810 | 17880191 | 381450 |\n| 07/06/22 | 18448451 | 17877013 | 381398 |\n| 07/05/22 | 18445301 | 17873576 | 381354 |\n| 07/04/22 | 18442625 | 17869964 | 381306 |\n| 07/03/22 | 18439759 | 17867688 | 381263 |\n| 07/02/22 | 18436679 | 17865093 | 381216 |\n| 07/01/22 | 18433394 | 17861605 | 381165 |\n| 06/30/22 | 18430239 | 17858217 | 381112 |\n| 06/29/22 | 18427133 | 17854962 | 381056 |\n| 06/28/22 | 18424105 | 17851282 | 381002 |\n| 06/27/22 | 18421564 | 17847868 | 380943 |\n| 06/26/22 | 18418881 | 17845513 | 380892 |\n| 06/25/22 | 18415877 | 17842800 | 380837 |\n| 06/24/22 | 18412805 | 17839346 | 380776 |\n| 06/23/22 | 18409651 | 17836121 | 380711 |\n| 06/22/22 | 18406485 | 17832604 | 380643 |\n| 06/21/22 | 18403427 | 17828837 | 380577 |\n| 06/20/22 | 18400927 | 17825397 | 380517 |\n| 06/19/22 | 18398260 | 17822674 | 380463 |\n| 06/18/22 | 18395179 | 17819395 | 380401 |\n| 06/17/22 | 18391797 | 17815024 | 380333 |\n| 06/16/22 | 18388424 | 17810796 | 380270 |\n| 06/15/22 | 18385098 | 17806097 | 380203 |\n| 06/14/22 | 18382380 | 17801569 | 380137 |\n| 06/13/22 | 18379583 | 17798245 | 380076 |\n| 06/12/22 | 18376587 | 17794561 | 380020 |\n| 06/11/22 | 18373184 | 17791081 | 379955 |\n| 06/10/22 | 18369557 | 17786254 | 379883 |\n| 06/09/22 | 18365879 | 17781922 | 379813 |\n| 06/08/22 | 18362105 | 17777625 | 379736 |\n| 06/07/22 | 18358459 | 17772888 | 379657 |\n| 06/06/22 | 18355200 | 17767753 | 379584 |\n| 06/05/22 | 18351851 | 17764261 | 379520 |\n| 06/04/22 | 18348065 | 17760326 | 379445 |\n| 06/03/22 | 18343964 | 17755194 | 379363 |\n| 06/02/22 | 18339776 | 17749960 | 379285 |\n| 06/01/22 | 18335514 | 17744984 | 379200 |\n| 05/31/22 | 18331363 | 17739356 | 379117 |\n| 05/30/22 | 18327837 | 17733870 | 379029 |\n| 05/29/22 | 18324036 | 17729851 | 378955 |\n| 05/28/22 | 18319848 | 17725440 | 378870 |\n| 05/27/22 | 18315292 | 17719596 | 378784 |\n| 05/26/22 | 18310673 | 17713532 | 378700 |\n| 05/25/22 | 18305973 | 17707077 | 378609 |\n| 05/24/22 | 18301393 | 17700372 | 378516 |\n| 05/23/22 | 18297608 | 17694020 | 378426 |\n| 05/22/22 | 18293450 | 17688903 | 378350 |\n| 05/21/22 | 18288740 | 17683089 | 378270 |\n| 05/20/22 | 18283706 | 17676801 | 378168 |\n| 05/19/22 | 18278617 | 17670628 | 378072 |\n| 05/18/22 | 18273690 | 17664676 | 377975 |\n| 05/17/22 | 18268958 | 17658542 | 377869 |\n| 05/16/22 | 18264836 | 17652558 | 377759 |\n| 05/15/22 | 18260293 | 17647179 | 377670 |\n| 05/14/22 | 18255337 | 17640979 | 377571 |\n| 05/13/22 | 18250290 | 17633601 | 377464 |\n| 05/12/22 | 18245394 | 17626344 | 377359 |\n| 05/11/22 | 18241329 | 17619414 | 377248 |\n| 05/10/22 | 18237227 | 17614371 | 377150 |\n| 05/09/22 | 18232696 | 17609357 | 377049 |\n| 05/08/22 | 18227666 | 17603398 | 376946 |\n| 05/07/22 | 18222219 | 17596716 | 376828 |\n| 05/06/22 | 18216719 | 17588067 | 376696 |\n| 05/05/22 | 18211178 | 17578659 | 376560 |\n| 05/04/22 | 18206167 | 17569936 | 376421 |\n| 05/03/22 | 18201074 | 17563272 | 376292 |\n| 05/02/22 | 18195608 | 17556220 | 376167 |\n| 05/01/22 | 18189401 | 17548718 | 376031 |\n| 04/30/22 | 18182354 | 17539985 | 375884 |\n| 04/29/22 | 18174991 | 17528963 | 375727 |\n| 04/28/22 | 18167281 | 17517922 | 375566 |\n| 04/27/22 | 18159600 | 17506859 | 375400 |\n| 04/26/22 | 18151895 | 17495382 | 375237 |\n| 04/25/22 | 18144788 | 17483483 | 375061 |\n| 04/24/22 | 18137137 | 17474628 | 374902 |\n| 04/23/22 | 18128691 | 17464120 | 374734 |\n| 04/22/22 | 18119862 | 17451090 | 374563 |\n| 04/21/22 | 18110861 | 17437610 | 374368 |\n| 04/20/22 | 18101986 | 17423428 | 374171 |\n| 04/19/22 | 18092791 | 17407228 | 373948 |\n| 04/18/22 | 18084151 | 17390465 | 373713 |\n| 04/17/22 | 18074717 | 17376141 | 373500 |\n| 04/16/22 | 18064454 | 17359645 | 373267 |\n| 04/15/22 | 18053359 | 17340639 | 373027 |\n| 04/14/22 | 18041927 | 17321116 | 372766 |\n| 04/13/22 | 18030579 | 17299263 | 372512 |\n| 04/12/22 | 18018825 | 17271128 | 372245 |\n| 04/11/22 | 18007915 | 17239857 | 371964 |\n| 04/10/22 | 17996060 | 17213102 | 371716 |\n| 04/09/22 | 17983004 | 17183730 | 371457 |\n| 04/08/22 | 17969431 | 17143630 | 371169 |\n| 04/07/22 | 17955120 | 17105946 | 370889 |\n| 04/06/22 | 17940765 | 17070642 | 370602 |\n| 04/05/22 | 17926104 | 17035336 | 370311 |\n| 04/04/22 | 17912157 | 16997877 | 369995 |\n| 04/03/22 | 17896866 | 16965027 | 369708 |\n| 04/02/22 | 17880038 | 16929332 | 369404 |\n| 04/01/22 | 17862089 | 16884785 | 369064 |\n| 03/31/22 | 17842925 | 16838787 | 368722 |\n| 03/30/22 | 17823648 | 16788291 | 368377 |\n| 03/29/22 | 17803503 | 16737206 | 368025 |\n| 03/28/22 | 17783843 | 16689977 | 367686 |\n| 03/27/22 | 17762742 | 16654231 | 367351 |\n| 03/26/22 | 17739462 | 16606691 | 367013 |\n| 03/25/22 | 17715390 | 16545758 | 366618 |\n| 03/24/22 | 17690008 | 16483898 | 366220 |\n| 03/23/22 | 17664621 | 16417422 | 365802 |\n| 03/22/22 | 17637795 | 16346800 | 365373 |\n| 03/21/22 | 17611401 | 16271880 | 364901 |\n| 03/20/22 | 17582692 | 16209942 | 364492 |\n| 03/19/22 | 17551657 | 16135267 | 364058 |\n| 03/18/22 | 17518699 | 16039709 | 363563 |\n| 03/17/22 | 17484257 | 15934645 | 363039 |\n| 03/16/22 | 17449438 | 15822031 | 362478 |\n| 03/15/22 | 17412919 | 15704022 | 361902 |\n| 03/14/22 | 17376241 | 15585650 | 361344 |\n| 03/13/22 | 17335186 | 15480407 | 360811 |\n| 03/12/22 | 17290197 | 15351778 | 360215 |\n| 03/11/22 | 17242043 | 15149927 | 359585 |\n| 03/10/22 | 17191300 | 15043717 | 358911 |\n| 03/09/22 | 17140069 | 14895083 | 358246 |\n| 03/08/22 | 17081394 | 14802351 | 357601 |\n| 03/07/22 | 17014818 | 14690595 | 356952 |\n| 03/06/22 | 16941656 | 14567976 | 356281 |\n| 03/05/22 | 16861793 | 14418916 | 355537 |\n| 03/04/22 | 16775024 | 14263191 | 354787 |\n| 03/03/22 | 16685850 | 14102684 | 354011 |\n| 03/02/22 | 16592824 | 13931995 | 353230 |\n| 03/01/22 | 16495369 | 13748465 | 352446 |\n| 02/28/22 | 16398036 | 13575652 | 351660 |\n| 02/27/22 | 16291116 | 13458910 | 350927 |\n| 02/26/22 | 16175123 | 13321314 | 350158 |\n| 02/25/22 | 16052028 | 13139971 | 349365 |\n| 02/24/22 | 15928568 | 12972661 | 348578 |\n| 02/23/22 | 15795570 | 12836228 | 347816 |\n| 02/22/22 | 15657928 | 12657025 | 347031 |\n| 02/21/22 | 15522756 | 12492732 | 346235 |\n| 02/20/22 | 15370419 | 12365520 | 345500 |\n| 02/19/22 | 15199720 | 12217942 | 343755 |\n| 02/18/22 | 15020573 | 12026844 | 343957 |\n| 02/17/22 | 14840502 | 11828475 | 343173 |\n| 02/16/22 | 14659880 | 11643393 | 342383 |\n| 02/15/22 | 14480596 | 11470925 | 341635 |\n| 02/14/22 | 14313965 | 11333044 | 340931 |\n| 02/13/22 | 14133509 | 11235859 | 340248 |\n| 02/12/22 | 13935560 | 11134291 | 339542 |\n| 02/11/22 | 13731794 | 11021633 | 338813 |\n| 02/10/22 | 13527845 | 10909397 | 338091 |\n| 02/09/22 | 13330769 | 10803305 | 337390 |\n| 02/08/22 | 13147666 | 10706142 | 336721 |\n| 02/07/22 | 12982023 | 10624954 | 336023 |\n| 02/06/22 | 12810118 | 10569271 | 335414 |\n| 02/05/22 | 12630047 | 10509688 | 334753 |\n| 02/04/22 | 12452765 | 10449181 | 334039 |\n| 02/03/22 | 12284564 | 10390732 | 333357 |\n| 02/02/22 | 12128796 | 10337008 | 332690 |\n| 02/01/22 | 11986913 | 10288582 | 332012 |\n| 01/31/22 | 11861077 | 10248281 | 331349 |\n| 01/30/22 | 11737007 | 10218151 | 330728 |\n| 01/29/22 | 11615779 | 10189207 | 330111 |\n| 01/28/22 | 11502657 | 10159197 | 329443 |\n| 01/27/22 | 11404617 | 10129691 | 328770 |\n| 01/26/22 | 11315801 | 10099937 | 328105 |\n| 01/25/22 | 11241109 | 10071740 | 327448 |\n| 01/24/22 | 11173300 | 10045336 | 326767 |\n| 01/23/22 | 11108191 | 10023622 | 326112 |\n| 01/22/22 | 11044986 | 10000577 | 325433 |\n| 01/21/22 | 10987774 | 9975052 | 324752 |\n| 01/20/22 | 10938261 | 9950333 | 324060 |\n| 01/19/22 | 10899411 | 9925855 | 323376 |\n| 01/18/22 | 10865512 | 9902935 | 322678 |\n| 01/17/22 | 10834260 | 9878371 | 321990 |\n| 01/16/22 | 10803534 | 9858615 | 321320 |\n| 01/15/22 | 10774304 | 9835884 | 320634 |\n| 01/14/22 | 10747125 | 9809300 | 319911 |\n| 01/13/22 | 10723305 | 9784348 | 319172 |\n| 01/12/22 | 10702150 | 9758364 | 318432 |\n| 01/11/22 | 10684204 | 9732018 | 317687 |\n| 01/10/22 | 10666679 | 9706802 | 316904 |\n| 01/09/22 | 10650849 | 9686912 | 316163 |\n| 01/08/22 | 10634603 | 9666161 | 315400 |\n| 01/07/22 | 10618035 | 9645712 | 314604 |\n| 01/06/22 | 10601300 | 9623677 | 313817 |\n| 01/05/22 | 10585984 | 9600728 | 313015 |\n| 01/04/22 | 10570212 | 9575147 | 312187 |\n| 01/03/22 | 10554309 | 9548076 | 311353 |\n| 01/02/22 | 10537966 | 9524039 | 310518 |\n| 01/01/22 | 10519733 | 9497063 | 309707 |\n| 12/31/21 | 10499982 | 9463919 | 308860 |\n| 12/30/21 | 10479344 | 9423227 | 307948 |\n| 12/29/21 | 10458271 | 9380223 | 307022 |\n| 12/28/21 | 10437152 | 9337447 | 306090 |\n| 12/27/21 | 10415230 | 9293486 | 305155 |\n| 12/26/21 | 10392020 | 9259771 | 304218 |\n| 12/25/21 | 10368299 | 9222486 | 303250 |\n| 12/24/21 | 10343353 | 9180379 | 302269 |\n| 12/23/21 | 10318650 | 9139166 | 301271 |\n| 12/22/21 | 10292283 | 9097521 | 300269 |\n| 12/21/21 | 10267719 | 9055199 | 299249 |\n| 12/20/21 | 10241812 | 9014980 | 298222 |\n| 12/19/21 | 10214790 | 8984921 | 297203 |\n| 12/18/21 | 10186823 | 8952266 | 296180 |\n| 12/17/21 | 10159389 | 8914225 | 295104 |\n| 12/16/21 | 10131646 | 8876788 | 294024 |\n| 12/15/21 | 10103160 | 8839633 | 292891 |\n| 12/14/21 | 10074797 | 8804000 | 291749 |\n| 12/13/21 | 10046454 | 8769916 | 290604 |\n| 12/12/21 | 10016896 | 8741355 | 289483 |\n| 12/11/21 | 9986967 | 8709964 | 288351 |\n| 12/10/21 | 9956679 | 8673518 | 287180 |\n| 12/09/21 | 9925806 | 8637861 | 286004 |\n| 12/08/21 | 9895597 | 8602067 | 284823 |\n| 12/07/21 | 9864845 | 8565091 | 283644 |\n| 12/06/21 | 9833749 | 8530476 | 282462 |\n| 12/05/21 | 9801613 | 8502406 | 281278 |\n| 12/04/21 | 9769011 | 8471813 | 280072 |\n| 12/03/21 | 9736037 | 8436631 | 278857 |\n| 12/02/21 | 9703107 | 8400117 | 277640 |\n| 12/01/21 | 9669718 | 8364932 | 276419 |\n| 11/30/21 | 9636881 | 8329253 | 275193 |\n| 11/29/21 | 9604233 | 8295811 | 273964 |\n| 11/28/21 | 9570373 | 8268111 | 272755 |\n| 11/27/21 | 9536825 | 8237465 | 271531 |\n| 11/26/21 | 9502879 | 8200971 | 270292 |\n| 11/25/21 | 9468189 | 8164826 | 269057 |\n| 11/24/21 | 9434393 | 8126376 | 267819 |\n| 11/23/21 | 9400835 | 8089694 | 266579 |\n| 11/22/21 | 9366839 | 8053643 | 265336 |\n| 11/21/21 | 9331158 | 8024930 | 264095 |\n| 11/20/21 | 9294188 | 7992426 | 262843 |\n| 11/19/21 | 9257068 | 7956254 | 261589 |\n| 11/18/21 | 9219912 | 7919250 | 260335 |\n| 11/17/21 | 9182538 | 7882836 | 259084 |\n| 11/16/21 | 9145912 | 7846448 | 257837 |\n| 11/15/21 | 9109094 | 7812287 | 256597 |\n| 11/14/21 | 9070674 | 7784585 | 255386 |\n| 11/13/21 | 9031851 | 7754764 | 254167 |\n| 11/12/21 | 8992595 | 7720962 | 252926 |\n| 11/11/21 | 8952472 | 7687317 | 251691 |\n| 11/10/21 | 8911713 | 7654161 | 250454 |\n| 11/09/21 | 8873655 | 7619596 | 249215 |\n| 11/08/21 | 8834495 | 7587560 | 248044 |\n| 11/07/21 | 8795095 | 7561978 | 246814 |\n| 11/06/21 | 8755930 | 7535172 | 245635 |\n| 11/05/21 | 8714595 | 7505971 | 244447 |\n| 11/04/21 | 8673360 | 7477366 | 243255 |\n| 11/03/21 | 8663643 | 7445438 | 242060 |\n| 11/02/21 | 8593200 | 7412631 | 240871 |\n| 11/01/21 | 8554192 | 7381726 | 239693 |\n| 10/31/21 | 8513790 | 7358539 | 238538 |\n| 10/30/21 | 8472797 | 7331424 | 237380 |\n| 10/29/21 | 8432546 | 7302515 | 236220 |\n| 10/28/21 | 8392697 | 7272053 | 235057 |\n| 10/27/21 | 8352601 | 7242735 | 233898 |\n| 10/26/21 | 8316019 | 7213584 | 232775 |\n| 10/25/21 | 8279573 | 7186611 | 231669 |\n| 10/24/21 | 8241643 | 7165921 | 230600 |\n| 10/23/21 | 8205983 | 7143137 | 229528 |\n| 10/22/21 | 8168305 | 7117060 | 228453 |\n| 10/21/21 | 8131164 | 7091607 | 227389 |\n| 10/20/21 | 8094825 | 7065712 | 226353 |\n| 10/19/21 | 8060752 | 7040481 | 225325 |\n| 10/18/21 | 8027012 | 7017055 | 224310 |\n| 10/17/21 | 7992687 | 7000624 | 223312 |\n| 10/16/21 | 7958384 | 6981907 | 222315 |\n| 10/15/21 | 7925176 | 6960024 | 221313 |\n| 10/14/21 | 7892980 | 6937756 | 220315 |\n| 10/13/21 | 7861681 | 6916086 | 219329 |\n| 10/12/21 | 7832964 | 6894285 | 218345 |\n| 10/11/21 | 7804774 | 6873579 | 217372 |\n| 10/10/21 | 7775365 | 6858119 | 216415 |\n| 10/09/21 | 7746718 | 6840845 | 215453 |\n| 10/08/21 | 7717356 | 6819796 | 214485 |\n| 10/07/21 | 7690110 | 6799230 | 213549 |\n| 10/06/21 | 7662560 | 6778900 | 212625 |\n| 10/05/21 | 7637427 | 6759059 | 211696 |\n| 10/04/21 | 7612317 | 6740491 | 210801 |\n| 10/03/21 | 7586536 | 6725965 | 209918 |\n| 10/02/21 | 7560767 | 6710574 | 209028 |\n| 10/01/21 | 7535548 | 6692722 | 208142 |\n| 09/30/21 | 7511026 | 6672767 | 207255 |\n| 09/29/21 | 7487138 | 6653941 | 206388 |\n| 09/28/21 | 7464708 | 6635485 | 205531 |\n| 09/27/21 | 7443149 | 6618117 | 204679 |\n| 09/26/21 | 7420913 | 6604604 | 203900 |\n| 09/25/21 | 7398415 | 6590933 | 203095 |\n| 09/24/21 | 7376374 | 6574608 | 202273 |\n| 09/23/21 | 7354995 | 6558780 | 201445 |\n| 09/22/21 | 7333557 | 6542213 | 200625 |\n| 09/21/21 | 7313851 | 6526111 | 199808 |\n| 09/20/21 | 7294672 | 6510674 | 198996 |\n| 09/19/21 | 7274928 | 6498682 | 198218 |\n| 09/18/21 | 7254754 | 6485264 | 197425 |\n| 09/17/21 | 7234425 | 6469017 | 196626 |\n| 09/16/21 | 7214520 | 6452398 | 195835 |\n| 09/15/21 | 7194926 | 6435072 | 195041 |\n| 09/14/21 | 7176085 | 6418033 | 194249 |\n| 09/13/21 | 7158248 | 6402126 | 193468 |\n| 09/12/21 | 7140070 | 6389657 | 192749 |\n| 09/11/21 | 7121516 | 6375160 | 191961 |\n| 09/10/21 | 7102625 | 6357272 | 191165 |\n| 09/09/21 | 7084284 | 6340151 | 190376 |\n| 09/08/21 | 7065904 | 6320512 | 189582 |\n| 09/07/21 | 7047880 | 6302250 | 188785 |\n| 09/06/21 | 7030455 | 6285007 | 187990 |\n| 09/05/21 | 7012599 | 6270731 | 187200 |\n| 09/04/21 | 6993954 | 6255475 | 186407 |\n| 09/03/21 | 6975174 | 6236738 | 185611 |\n| 09/02/21 | 6956318 | 6218048 | 184812 |\n| 09/01/21 | 6937333 | 6199379 | 184014 |\n| 08/31/21 | 6918965 | 6181054 | 183224 |\n| 08/30/21 | 6901152 | 6162430 | 182429 |\n| 08/29/21 | 6882827 | 6148250 | 181637 |\n| 08/28/21 | 6863541 | 6131446 | 180840 |\n| 08/27/21 | 6844049 | 6112035 | 180041 |\n| 08/26/21 | 6824540 | 6092818 | 179243 |\n| 08/25/21 | 6804910 | 6073157 | 178423 |\n| 08/24/21 | 6785374 | 6053503 | 177614 |\n| 08/23/21 | 6766541 | 6034867 | 176820 |\n| 08/22/21 | 6747087 | 6019466 | 176044 |\n| 08/21/21 | 6726523 | 6004052 | 175282 |\n| 08/20/21 | 6705523 | 5983405 | 174485 |\n| 08/19/21 | 6684531 | 5963054 | 173700 |\n| 08/18/21 | 6663473 | 5939037 | 172909 |\n| 08/17/21 | 6642559 | 5918324 | 172110 |\n| 08/16/21 | 6621601 | 5899917 | 171305 |\n| 08/15/21 | 6600836 | 5884316 | 170499 |\n| 08/14/21 | 6579212 | 5867890 | 169683 |\n| 08/13/21 | 6557068 | 5848340 | 168864 |\n| 08/12/21 | 6534791 | 5828972 | 168049 |\n| 08/11/21 | 6512859 | 5808777 | 167241 |\n| 08/10/21 | 6491288 | 5788710 | 166442 |\n| 08/09/21 | 6469910 | 5769981 | 165650 |\n| 08/08/21 | 6447750 | 5755507 | 164881 |\n| 08/07/21 | 6424884 | 5739838 | 164094 |\n| 08/06/21 | 6402564 | 5720353 | 163301 |\n| 08/05/21 | 6379904 | 5700212 | 162509 |\n| 08/04/21 | 6356784 | 5679842 | 161715 |\n| 08/03/21 | 6334195 | 5659746 | 160925 |\n| 08/02/21 | 6312185 | 5640783 | 160137 |\n| 08/01/21 | 6288677 | 5625890 | 159352 |\n| 07/31/21 | 6265873 | 5608619 | 158563 |\n| 07/30/21 | 6242066 | 5588848 | 157771 |\n| 07/29/21 | 6218502 | 5568363 | 156977 |\n| 07/28/21 | 6195232 | 5547529 | 156178 |\n| 07/27/21 | 6172812 | 5526950 | 155380 |\n| 07/26/21 | 6149780 | 5506834 | 154601 |\n| 07/25/21 | 6126541 | 5490634 | 153874 |\n| 07/24/21 | 6102469 | 5471956 | 153095 |\n| 07/23/21 | 6078522 | 5450004 | 152296 |\n| 07/22/21 | 6054711 | 5427457 | 151501 |\n| 07/21/21 | 6030240 | 5404797 | 150705 |\n| 07/20/21 | 6006536 | 5382213 | 149922 |\n| 07/19/21 | 5982766 | 5359995 | 149138 |\n| 07/18/21 | 5958133 | 5341231 | 148419 |\n| 07/17/21 | 5933115 | 5322345 | 147665 |\n| 07/16/21 | 5907999 | 5300908 | 146868 |\n| 07/15/21 | 5882295 | 5278976 | 146069 |\n| 07/14/21 | 5857002 | 5257483 | 145278 |\n| 07/13/21 | 5833175 | 5236214 | 144492 |\n| 07/12/21 | 5808473 | 5216648 | 143712 |\n| 07/11/21 | 5783333 | 5200219 | 143002 |\n| 07/10/21 | 5758300 | 5182837 | 142253 |\n| 07/09/21 | 5733218 | 5165087 | 141501 |\n| 07/08/21 | 5707452 | 5143255 | 140775 |\n| 07/07/21 | 5682634 | 5121919 | 140041 |\n| 07/06/21 | 5658672 | 5101852 | 139316 |\n| 07/05/21 | 5635294 | 5083441 | 138579 |\n| 07/04/21 | 5610941 | 5068901 | 137925 |\n| 07/03/21 | 5585799 | 5053417 | 137262 |\n| 07/02/21 | 5561360 | 5035518 | 136565 |\n| 07/01/21 | 5538142 | 5017321 | 135886 |\n| 06/30/21 | 5514599 | 5000393 | 135214 |\n| 06/29/21 | 5493557 | 4984037 | 134545 |\n| 06/28/21 | 5472941 | 4969340 | 133893 |\n| 06/27/21 | 5451291 | 4956714 | 133282 |\n| 06/26/21 | 5430753 | 4943986 | 132683 |\n| 06/25/21 | 5409088 | 4929639 | 132064 |\n| 06/24/21 | 5388695 | 4915615 | 131463 |\n| 06/23/21 | 5368513 | 4902110 | 130895 |\n| 06/22/21 | 5350919 | 4889450 | 130347 |\n| 06/21/21 | 5334204 | 4878333 | 129801 |\n| 06/20/21 | 5316826 | 4869972 | 129361 |\n| 06/19/21 | 5299215 | 4861343 | 128911 |\n| 06/18/21 | 5281309 | 4850659 | 128445 |\n| 06/17/21 | 5264047 | 4839705 | 127992 |\n| 06/16/21 | 5249990 | 4828500 | 127576 |\n| 06/15/21 | 5236593 | 4818244 | 127180 |\n| 06/14/21 | 5222408 | 4809647 | 126801 |\n| 06/13/21 | 5208687 | 4801335 | 126430 |\n| 06/12/21 | 5193964 | 4792169 | 126073 |\n| 06/11/21 | 5180454 | 4782183 | 125674 |\n| 06/10/21 | 5167949 | 4771995 | 125278 |\n| 06/09/21 | 5156250 | 4761899 | 124895 |\n| 06/08/21 | 5145843 | 4752085 | 124496 |\n| 06/07/21 | 5135866 | 4743202 | 124117 |\n| 06/06/21 | 5126437 | 4736446 | 123787 |\n| 06/05/21 | 5117274 | 4729077 | 123436 |\n| 06/04/21 | 5108129 | 4720512 | 123037 |\n| 06/03/21 | 5099182 | 4711982 | 122660 |\n| 06/02/21 | 5090249 | 4702599 | 122267 |\n| 06/01/21 | 5081417 | 4693579 | 121873 |\n| 05/31/21 | 5071917 | 4683585 | 121501 |\n| 05/30/21 | 5063442 | 4677870 | 121162 |\n| 05/29/21 | 5053748 | 4670484 | 120807 |\n| 05/28/21 | 5044459 | 4661234 | 120406 |\n| 05/27/21 | 5035207 | 4651849 | 120002 |\n| 05/26/21 | 5026168 | 4642090 | 119600 |\n| 05/25/21 | 5017795 | 4632955 | 119194 |\n| 05/24/21 | 5009911 | 4624212 | 118801 |\n| 05/23/21 | 5001505 | 4617762 | 118482 |\n| 05/22/21 | 4992554 | 4610465 | 118125 |\n| 05/21/21 | 4983845 | 4601120 | 117739 |\n| 05/20/21 | 4974908 | 4591770 | 117361 |\n| 05/19/21 | 4965676 | 4581787 | 116965 |\n| 05/18/21 | 4957756 | 4572226 | 116575 |\n| 05/17/21 | 4949573 | 4563254 | 116211 |\n| 05/16/21 | 4940245 | 4556073 | 115871 |\n| 05/15/21 | 4931691 | 4547500 | 115480 |\n| 05/14/21 | 4922901 | 4537634 | 115116 |\n| 05/13/21 | 4913439 | 4527878 | 114723 |\n| 05/12/21 | 4905059 | 4518529 | 114331 |\n| 05/11/21 | 4896842 | 4509915 | 113976 |\n| 05/10/21 | 4888727 | 4502906 | 113647 |\n| 05/09/21 | 4880262 | 4496132 | 113326 |\n| 05/08/21 | 4871843 | 4488615 | 112992 |\n| 05/07/21 | 4863514 | 4480260 | 112622 |\n| 05/06/21 | 4855128 | 4472238 | 112246 |\n| 05/05/21 | 4847489 | 4464550 | 111895 |\n| 05/04/21 | 4839514 | 4457044 | 111535 |\n| 05/03/21 | 4831744 | 4450289 | 111198 |\n| 05/02/21 | 4823255 | 4443922 | 110862 |\n| 05/01/21 | 4814558 | 4436583 | 110520 |\n| 04/30/21 | 4805288 | 4427946 | 110128 |\n| 04/29/21 | 4796557 | 4419540 | 109731 |\n| 04/28/21 | 4787273 | 4411098 | 109367 |\n| 04/27/21 | 4779425 | 4402678 | 108980 |\n| 04/26/21 | 4771372 | 4394639 | 108588 |\n| 04/25/21 | 4762569 | 4388008 | 108232 |\n| 04/24/21 | 4753789 | 4380468 | 107900 |\n| 04/23/21 | 4744961 | 4371214 | 107501 |\n| 04/22/21 | 4736121 | 4361807 | 107103 |\n| 04/21/21 | 4727125 | 4352873 | 106706 |\n| 04/20/21 | 4718854 | 4343229 | 106307 |\n| 04/19/21 | 4710690 | 4333598 | 105928 |\n| 04/18/21 | 4702101 | 4326780 | 105582 |\n| 04/17/21 | 4693469 | 4319389 | 105193 |\n| 04/16/21 | 4684148 | 4310557 | 104795 |\n| 04/15/21 | 4675153 | 4301448 | 104398 |\n| 04/14/21 | 4666209 | 4291223 | 104000 |\n| 04/13/21 | 4657883 | 4281776 | 103601 |\n| 04/12/21 | 4649710 | 4272165 | 103263 |\n| 04/11/21 | 4641390 | 4265509 | 102986 |\n| 04/10/21 | 4632688 | 4258279 | 102649 |\n| 04/09/21 | 4623984 | 4248700 | 102247 |\n| 04/08/21 | 4614834 | 4239038 | 101845 |\n| 04/07/21 | 4606162 | 4229480 | 101480 |\n| 04/06/21 | 4597868 | 4220035 | 101106 |\n| 04/05/21 | 4589540 | 4211133 | 100717 |\n| 04/04/21 | 4580894 | 4204081 | 100374 |\n| 04/03/21 | 4572077 | 4195869 | 100017 |\n| 04/02/21 | 4563056 | 4186251 | 99633 |\n| 04/01/21 | 4554264 | 4176419 | 99233 |\n| 03/31/21 | 4545095 | 4166172 | 98850 |\n| 03/30/21 | 4536820 | 4155996 | 98442 |\n| 03/29/21 | 4528543 | 4146408 | 98033 |\n| 03/28/21 | 4519832 | 4139128 | 97740 |\n| 03/27/21 | 4510744 | 4130498 | 97404 |\n| 03/26/21 | 4501859 | 4120161 | 97017 |\n| 03/25/21 | 4492692 | 4109281 | 96612 |\n| 03/24/21 | 4483471 | 4098400 | 96219 |\n| 03/23/21 | 4474610 | 4088045 | 95818 |\n| 03/22/21 | 4466153 | 4077185 | 95391 |\n| 03/21/21 | 4456869 | 4069395 | 95030 |\n| 03/20/21 | 4447570 | 4060652 | 94659 |\n| 03/19/21 | 4437938 | 4049373 | 94267 |\n| 03/18/21 | 4428239 | 4037036 | 93824 |\n| 03/17/21 | 4418436 | 4024975 | 93364 |\n| 03/16/21 | 4409438 | 4014220 | 92937 |\n| 03/15/21 | 4400045 | 4003576 | 92494 |\n| 03/14/21 | 4390608 | 3995129 | 92090 |\n| 03/13/21 | 4380525 | 3985897 | 91695 |\n| 03/12/21 | 4370617 | 3973029 | 91220 |\n| 03/11/21 | 4360823 | 3959533 | 90734 |\n| 03/10/21 | 4351553 | 3945527 | 90275 |\n| 03/09/21 | 4342474 | 3932177 | 89809 |\n| 03/08/21 | 4333029 | 3922246 | 89473 |\n| 03/07/21 | 4322776 | 3911924 | 89094 |\n| 03/06/21 | 4312181 | 3900348 | 88726 |\n| 03/05/21 | 4301159 | 3885321 | 88285 |\n| 03/04/21 | 4290135 | 3869857 | 87823 |\n| 03/03/21 | 4278750 | 3853734 | 87348 |\n| 03/02/21 | 4268215 | 3838040 | 86896 |\n| 03/01/21 | 4257650 | 3823074 | 86455 |\n| 02/28/21 | 4246079 | 3811797 | 86122 |\n| 02/27/21 | 4234720 | 3799406 | 85743 |\n| 02/26/21 | 4223186 | 3783386 | 85304 |\n| 02/25/21 | 4212100 | 3767664 | 84876 |\n| 02/24/21 | 4200902 | 3751562 | 84430 |\n| 02/23/21 | 4189153 | 3739344 | 84047 |\n| 02/22/21 | 4177330 | 3726388 | 83630 |\n| 02/21/21 | 4164726 | 3713445 | 83293 |\n| 02/20/21 | 4151984 | 3697433 | 82876 |\n| 02/19/21 | 4139031 | 3679949 | 82396 |\n| 02/18/21 | 4125598 | 3661312 | 81926 |\n| 02/17/21 | 4112151 | 3642582 | 81446 |\n| 02/16/21 | 4099323 | 3624663 | 80979 |\n| 02/15/21 | 4086090 | 3607036 | 80520 |\n| 02/14/21 | 4071883 | 3593101 | 80126 |\n| 02/13/21 | 4057698 | 3577907 | 79696 |\n| 02/12/21 | 4042837 | 3559142 | 79194 |\n| 02/11/21 | 4027748 | 3538422 | 78687 |\n| 02/10/21 | 4012710 | 3516461 | 78134 |\n| 02/09/21 | 3998216 | 3493886 | 77598 |\n| 02/08/21 | 3983197 | 3472091 | 77068 |\n| 02/07/21 | 3967281 | 3456210 | 76661 |\n| 02/06/21 | 3951233 | 3436326 | 76229 |\n| 02/05/21 | 3934606 | 3413495 | 75732 |\n| 02/04/21 | 3917918 | 3389913 | 75205 |\n| 02/03/21 | 3901204 | 3365367 | 74684 |\n| 02/02/21 | 3884730 | 3340545 | 74158 |\n| 02/01/21 | 3868087 | 3318173 | 73619 |\n| 01/31/21 | 3850439 | 3300004 | 73182 |\n| 01/30/21 | 3832080 | 3279964 | 72697 |\n| 01/29/21 | 3813048 | 3255462 | 72185 |\n| 01/28/21 | 3793810 | 3229258 | 71651 |\n| 01/27/21 | 3774672 | 3202483 | 71076 |\n| 01/26/21 | 3756931 | 3174561 | 70482 |\n| 01/25/21 | 3738690 | 3150763 | 69918 |\n| 01/24/21 | 3719400 | 3131760 | 69462 |\n| 01/23/21 | 3698273 | 3109315 | 68971 |\n| 01/22/21 | 3677352 | 3081536 | 68412 |\n| 01/21/21 | 3655839 | 3054218 | 67832 |\n| 01/20/21 | 3633952 | 3027316 | 67220 |\n| 01/19/21 | 3612800 | 3002026 | 66623 |\n| 01/18/21 | 3591066 | 2978764 | 66037 |\n| 01/17/21 | 3568209 | 2960431 | 65566 |\n| 01/16/21 | 3544623 | 2936991 | 65085 |\n| 01/15/21 | 3520531 | 2909680 | 64495 |\n| 01/14/21 | 3495816 | 2882044 | 63940 |\n| 01/13/21 | 3471053 | 2854088 | 63370 |\n| 01/12/21 | 3448203 | 2825430 | 62804 |\n| 01/11/21 | 3425269 | 2800675 | 62273 |\n| 01/10/21 | 3401954 | 2778889 | 61837 |\n| 01/09/21 | 3379103 | 2754809 | 61381 |\n| 01/08/21 | 3355794 | 2731129 | 60911 |\n| 01/07/21 | 3322142 | 2709452 | 60457 |\n| 01/06/21 | 3308601 | 2685723 | 59951 |\n| 01/05/21 | 3284384 | 2662668 | 59906 |\n| 01/04/21 | 3260138 | 2640036 | 58988 |\n| 01/03/21 | 3236787 | 2618882 | 58506 |\n| 01/02/21 | 3212637 | 2599035 | 59002 |\n| 01/01/21 | 3186336 | 2580138 | 57555 |\n| 12/31/20 | 3159297 | 2554340 | 57019 |\n| 12/30/20 | 3131550 | 2525418 | 56426 |\n| 12/29/20 | 3105037 | 2496183 | 55827 |\n| 12/28/20 | 3078035 | 2471309 | 55265 |\n| 12/27/20 | 3050248 | 2450829 | 54778 |\n| 12/26/20 | 3021964 | 2426439 | 54226 |\n| 12/25/20 | 2992706 | 2398254 | 53659 |\n| 12/24/20 | 2963688 | 2370857 | 53096 |\n| 12/23/20 | 2933753 | 2343967 | 52461 |\n| 12/22/20 | 2906503 | 2319520 | 51912 |\n| 12/21/20 | 2877727 | 2295362 | 51351 |\n| 12/20/20 | 2848377 | 2275657 | 50858 |\n| 12/19/20 | 2819429 | 2254742 | 50347 |\n| 12/18/20 | 2791220 | 2228633 | 49762 |\n| 12/17/20 | 2762668 | 2202540 | 49151 |\n| 12/16/20 | 2734454 | 2176100 | 48564 |\n| 12/15/20 | 2707945 | 2149610 | 47968 |\n| 12/14/20 | 2681256 | 2124797 | 47391 |\n| 12/13/20 | 2653928 | 2106235 | 46941 |\n| 12/12/20 | 2625848 | 2085958 | 46453 |\n| 12/11/20 | 2597711 | 2059840 | 45893 |\n| 12/10/20 | 2569126 | 2033669 | 45280 |\n| 12/09/20 | 2541199 | 2007792 | 44718 |\n| 12/08/20 | 2515009 | 1981526 | 44159 |\n| 12/07/20 | 2488912 | 1956588 | 43597 |\n| 12/06/20 | 2460770 | 1937738 | 43141 |\n| 12/05/20 | 2431731 | 1916396 | 42684 |\n| 12/04/20 | 2402949 | 1888752 | 42176 |\n| 12/03/20 | 2375546 | 1859851 | 41607 |\n| 12/02/20 | 2347401 | 1830349 | 41053 |\n| 12/01/20 | 2322056 | 1803467 | 40464 |\n| 11/30/20 | 2295654 | 1778704 | 39895 |\n| 11/29/20 | 2269316 | 1761457 | 39527 |\n| 11/28/20 | 2242633 | 1739470 | 39068 |\n| 11/27/20 | 2215533 | 1712174 | 38558 |\n| 11/26/20 | 2187990 | 1685492 | 38062 |\n| 11/25/20 | 2162503 | 1660419 | 37538 |\n| 11/24/20 | 2138828 | 1634671 | 37031 |\n| 11/23/20 | 2114502 | 1611445 | 36540 |\n| 11/22/20 | 2089329 | 1595443 | 36179 |\n| 11/21/20 | 2064748 | 1577435 | 35778 |\n| 11/20/20 | 2039926 | 1551414 | 35311 |\n| 11/19/20 | 2015608 | 1526656 | 25573 |\n| 11/18/20 | 1991998 | 1501083 | 34387 |\n| 11/17/20 | 1971013 | 1475904 | 33931 |\n| 11/16/20 | 1948603 | 1453849 | 33489 |\n| 11/15/20 | 1925825 | 1439985 | 33186 |\n| 11/14/20 | 1903253 | 1425529 | 32834 |\n| 11/13/20 | 1880551 | 1406903 | 32443 |\n| 11/12/20 | 1858568 | 1388168 | 32032 |\n| 11/11/20 | 1836960 | 1369357 | 31593 |\n| 11/10/20 | 1817109 | 1350741 | 31161 |\n| 11/09/20 | 1796132 | 1335141 | 30793 |\n| 11/08/20 | 1774334 | 1324419 | 30537 |\n| 11/07/20 | 1753836 | 1312927 | 30251 |\n| 11/06/20 | 1733440 | 1296124 | 29887 |\n| 11/05/20 | 1712858 | 1279169 | 29509 |\n| 11/04/20 | 1693454 | 1266931 | 29217 |\n| 11/03/20 | 1673686 | 1251364 | 28828 |\n| 11/02/20 | 1655038 | 1236033 | 28473 |\n| 11/01/20 | 1636781 | 1225673 | 28235 |\n| 10/31/20 | 1618116 | 1215414 | 27990 |\n| 10/30/20 | 1599976 | 1200560 | 27656 |\n| 10/29/20 | 1581693 | 1186041 | 27301 |\n| 10/28/20 | 1563976 | 1171301 | 26935 |\n| 10/27/20 | 1547774 | 1158940 | 26589 |\n| 10/26/20 | 1531224 | 1146096 | 26269 |\n| 10/25/20 | 1513877 | 1138522 | 26050 |\n| 10/24/20 | 1497167 | 1130818 | 25821 |\n| 10/23/20 | 1480646 | 1119251 | 25525 |\n| 10/22/20 | 1463306 | 1107988 | 25242 |\n| 10/21/20 | 1447335 | 1096560 | 24952 |\n| 10/20/20 | 1431635 | 1085608 | 24635 |\n| 10/19/20 | 1415316 | 1075904 | 24366 |\n| 10/18/20 | 1399334 | 1070576 | 24187 |\n| 10/17/20 | 1384235 | 1065199 | 24002 |\n| 10/16/20 | 1369313 | 1056582 | 23723 |\n| 10/15/20 | 1354163 | 1048097 | 23491 |\n| 10/14/20 | 1340409 | 1039705 | 23205 |\n| 10/13/20 | 1326178 | 1031785 | 22966 |\n| 10/12/20 | 1312310 | 1024235 | 22722 |\n| 10/11/20 | 1298718 | 1020442 | 22597 |\n| 10/10/20 | 1285084 | 1016202 | 22448 |\n| 10/09/20 | 1272238 | 1009421 | 22257 |\n| 10/08/20 | 1260112 | 1002329 | 22056 |\n| 10/07/20 | 1248619 | 995275 | 21865 |\n| 10/06/20 | 1237504 | 988576 | 21663 |\n| 10/05/20 | 1225889 | 982324 | 21475 |\n| 10/04/20 | 1215001 | 979143 | 21358 |\n| 10/03/20 | 1204502 | 975859 | 21251 |\n| 10/02/20 | 1194643 | 970296 | 21077 |\n| 10/01/20 | 1185231 | 964242 | 20891 |\n| 09/30/20 | 1176286 | 958257 | 20722 |\n| 09/29/20 | 1167805 | 952399 | 20545 |\n| 09/28/20 | 1159573 | 945920 | 20385 |\n| 09/27/20 | 1151438 | 943218 | 20324 |\n| 09/26/20 | 1143571 | 940150 | 20225 |\n| 09/25/20 | 1136048 | 934146 | 20056 |\n| 09/24/20 | 1128836 | 929829 | 19948 |\n| 09/23/20 | 1122241 | 923699 | 19799 |\n| 09/22/20 | 1115810 | 917949 | 19649 |\n| 09/21/20 | 1109595 | 911973 | 19489 |\n| 09/20/20 | 1103399 | 909357 | 19418 |\n| 09/19/20 | 1097251 | 906462 | 19339 |\n| 09/18/20 | 1091186 | 901207 | 19195 |\n| 09/17/20 | 1085281 | 895868 | 19061 |\n| 09/16/20 | 1079519 | 890114 | 18917 |\n| 09/15/20 | 1073849 | 884305 | 18785 |\n| 09/14/20 | 1068320 | 878700 | 18635 |\n| 09/13/20 | 1062811 | 876225 | 18578 |\n| 09/12/20 | 1057362 | 873535 | 18484 |\n| 09/11/20 | 1051874 | 868107 | 18365 |\n| 09/10/20 | 1046370 | 862373 | 18263 |\n| 09/09/20 | 1041007 | 856458 | 18135 |\n| 09/08/20 | 1035789 | 850049 | 17993 |\n| 09/07/20 | 1030690 | 843277 | 17871 |\n| 09/06/20 | 1025505 | 840949 | 17820 |\n| 09/05/20 | 1020310 | 838126 | 17759 |\n| 09/04/20 | 1015105 | 832747 | 17649 |\n| 09/03/20 | 1009995 | 826935 | 17528 |\n| 09/02/20 | 1005000 | 821169 | 17414 |\n| 09/01/20 | 1000048 | 815705 | 17299 |\n| 08/31/20 | 995319 | 809387 | 17176 |\n| 08/30/20 | 990326 | 806982 | 17093 |\n| 08/29/20 | 985346 | 804383 | 17025 |\n| 08/28/20 | 980405 | 798466 | 16914 |\n| 08/27/20 | 975576 | 792561 | 16804 |\n| 08/26/20 | 970865 | 786150 | 16683 |\n| 08/25/20 | 966189 | 779747 | 16568 |\n| 08/24/20 | 961493 | 773095 | 16448 |\n| 08/23/20 | 956749 | 770639 | 16383 |\n| 08/22/20 | 951897 | 767477 | 16310 |\n| 08/21/20 | 946976 | 761330 | 16189 |\n| 08/20/20 | 942106 | 755513 | 16099 |\n| 08/19/20 | 937321 | 749423 | 15989 |\n| 08/18/20 | 932493 | 742628 | 15872 |\n| 08/17/20 | 927745 | 736101 | 15740 |\n| 08/16/20 | 922853 | 732968 | 15685 |\n| 08/15/20 | 917884 | 729411 | 15617 |\n| 08/14/20 | 912823 | 722964 | 15498 |\n| 08/13/20 | 907758 | 716396 | 15384 |\n| 08/12/20 | 902701 | 710298 | 15260 |\n| 08/11/20 | 897599 | 703175 | 15131 |\n| 08/10/20 | 892654 | 696681 | 15001 |\n| 08/09/20 | 887536 | 693422 | 14931 |\n| 08/08/20 | 882347 | 690207 | 14854 |\n| 08/07/20 | 877135 | 683592 | 14725 |\n| 08/06/20 | 871894 | 676357 | 14606 |\n| 08/05/20 | 866627 | 669026 | 14490 |\n| 08/04/20 | 861423 | 661471 | 14351 |\n| 08/03/20 | 856264 | 653593 | 14207 |\n| 08/02/20 | 850870 | 650173 | 14128 |\n| 08/01/20 | 845443 | 646524 | 14058 |\n| 07/31/20 | 839981 | 638410 | 13963 |\n| 07/30/20 | 834499 | 629655 | 13802 |\n| 07/29/20 | 828990 | 620333 | 13673 |\n| 07/28/20 | 823515 | 612217 | 13504 |\n| 07/27/20 | 818120 | 603329 | 13354 |\n| 07/26/20 | 812485 | 600250 | 13269 |\n| 07/25/20 | 806720 | 597140 | 13192 |\n| 07/24/20 | 800849 | 588774 | 13046 |\n| 07/23/20 | 795038 | 580330 | 12892 |\n| 07/22/20 | 789190 | 572053 | 12745 |\n| 07/21/20 | 783328 | 562384 | 12580 |\n| 07/20/20 | 777486 | 553602 | 12427 |\n| 07/19/20 | 771546 | 550344 | 12342 |\n| 07/18/20 | 765437 | 546863 | 12247 |\n| 07/17/20 | 759203 | 539373 | 12123 |\n| 07/16/20 | 752797 | 531692 | 11937 |\n| 07/15/20 | 746369 | 523249 | 11770 |\n| 07/14/20 | 739947 | 512825 | 11614 |\n| 07/13/20 | 733699 | 504021 | 11439 |\n| 07/12/20 | 727162 | 501061 | 11335 |\n| 07/11/20 | 720547 | 497446 | 11205 |\n| 07/10/20 | 713936 | 489068 | 11017 |\n| 07/09/20 | 707301 | 481316 | 10843 |\n| 07/08/20 | 700792 | 472511 | 10667 |\n| 07/07/20 | 694230 | 463880 | 10494 |\n| 07/06/20 | 687862 | 454329 | 10296 |\n| 07/05/20 | 681251 | 450750 | 10161 |\n| 07/04/20 | 674515 | 446879 | 10027 |\n| 07/03/20 | 667883 | 437893 | 9859 |\n| 07/02/20 | 661165 | 428978 | 9683 |\n| 07/01/20 | 654405 | 422931 | 9536 |\n| 06/30/20 | 647849 | 412650 | 9320 |\n| 06/29/20 | 641156 | 403430 | 9166 |\n| 06/28/20 | 634437 | 399087 | 9073 |\n| 06/27/20 | 627646 | 393352 | 8969 |\n| 06/26/20 | 620794 | 384152 | 8781 |\n| 06/25/20 | 613994 | 375164 | 8605 |\n| 06/24/20 | 606881 | 368822 | 8513 |\n| 06/23/20 | 599705 | 356429 | 8359 |\n| 06/22/20 | 592280 | 344416 | 8206 |\n| 06/21/20 | 584680 | 339711 | 8111 |\n| 06/20/20 | 576952 | 334592 | 8002 |\n| 06/19/20 | 569063 | 324406 | 7841 |\n| 06/18/20 | 561091 | 313963 | 7660 |\n| 06/17/20 | 553301 | 304342 | 7478 |\n| 06/16/20 | 545458 | 294306 | 7284 |\n| 06/15/20 | 537210 | 284539 | 7091 |\n| 06/14/20 | 528964 | 280050 | 6948 |\n| 06/13/20 | 520129 | 274641 | 6829 |\n| 06/12/20 | 511423 | 269370 | 6715 |\n| 06/11/20 | 502436 | 261150 | 6532 |\n| 06/10/20 | 493657 | 252783 | 6358 |\n| 06/09/20 | 485253 | 242397 | 6142 |\n| 06/08/20 | 476658 | 230688 | 5971 |\n| 06/07/20 | 467673 | 226731 | 5859 |\n| 06/06/20 | 458689 | 221388 | 5725 |\n| 06/05/20 | 449834 | 212680 | 5528 |\n| 06/04/20 | 441108 | 204623 | 5384 |\n| 06/03/20 | 432277 | 195957 | 5215 |\n| 06/02/20 | 423741 | 186985 | 5037 |\n| 06/01/20 | 414878 | 175877 | 4855 |\n| 05/31/20 | 405843 | 171883 | 4693 |\n| 05/30/20 | 396575 | 167469 | 4555 |\n| 05/29/20 | 387623 | 159257 | 4374 |\n| 05/28/20 | 379051 | 150993 | 4142 |\n| 05/27/20 | 370680 | 142208 | 3968 |\n| 05/26/20 | 362342 | 131129 | 3807 |\n| 05/25/20 | 353427 | 118798 | 3633 |\n| 05/24/20 | 344481 | 113299 | 3541 |\n| 05/23/20 | 335882 | 107936 | 3388 |\n| 05/22/20 | 326448 | 99825 | 3249 |\n| 05/21/20 | 317554 | 92681 | 3099 |\n| 05/20/20 | 308705 | 85392 | 2972 |\n| 05/19/20 | 299941 | 76130 | 2837 |\n| 05/18/20 | 290678 | 70209 | 2722 |\n| 05/17/20 | 281752 | 67373 | 2631 |\n| 05/16/20 | 272043 | 63166 | 2537 |\n| 05/15/20 | 262843 | 58226 | 2418 |\n| 05/14/20 | 252245 | 53530 | 2305 |\n| 05/13/20 | 242271 | 48003 | 2212 |\n| 05/12/20 | 232243 | 43512 | 2116 |\n| 05/11/20 | 221344 | 39801 | 2009 |\n| 05/10/20 | 209688 | 34306 | 1915 |\n| 05/09/20 | 198676 | 31916 | 1827 |\n| 05/08/20 | 187859 | 26608 | 1723 |\n| 05/07/20 | 177160 | 23803 | 1625 |\n| 05/06/20 | 165929 | 21327 | 1537 |\n| 05/05/20 | 155370 | 19865 | 1451 |\n| 05/04/20 | 145268 | 18095 | 1356 |\n| 05/03/20 | 134687 | 16639 | 1280 |\n| 05/02/20 | 124054 | 15013 | 1222 |\n| 05/01/20 | 114431 | 13220 | 1169 |\n| 04/30/20 | 106498 | 11619 | 1073 |\n| 04/29/20 | 99399 | 10286 | 972 |\n| 04/28/20 | 93558 | 8456 | 867 |\n| 04/27/20 | 87147 | 7346 | 794 |\n| 04/26/20 | 80949 | 6767 | 747 |\n| 04/25/20 | 74588 | 6250 | 681 |\n| 04/24/20 | 68622 | 5568 | 615 |\n| 04/23/20 | 62773 | 4891 | 555 |\n| 04/22/20 | 57999 | 4420 | 513 |\n| 04/21/20 | 52763 | 3873 | 456 |\n| 04/20/20 | 47121 | 3446 | 405 |\n| 04/19/20 | 42853 | 3291 | 361 |\n| 04/18/20 | 36793 | 3057 | 313 |\n| 04/17/20 | 32008 | 2590 | 273 |\n| 04/16/20 | 27938 | 2304 | 232 |\n| 04/15/20 | 24490 | 1986 | 198 |\n| 04/14/20 | 21102 | 1694 | 170 |\n| 04/13/20 | 18328 | 1470 | 148 |\n| 04/12/20 | 15770 | 1291 | 130 |\n| 04/11/20 | 13584 | 1045 | 106 |\n| 04/10/20 | 11917 | 795 | 94 |\n| 04/09/20 | 10131 | 698 | 76 |\n| 04/08/20 | 8672 | 580 | 63 |\n| 04/07/20 | 7497 | 494 | 58 |\n| 04/06/20 | 6343 | 406 | 47 |\n| 04/05/20 | 5389 | 355 | 45 |\n| 04/04/20 | 4731 | 333 | 43 |\n| 04/03/20 | 4149 | 281 | 34 |\n| 04/02/20 | 3548 | 235 | 40 |\n| 04/01/20 | 2777 | 190 | 24 |\n| 03/31/20 | 2337 | 121 | 17 |\n| 03/30/20 | 1836 | 66 | 9 |\n| 03/29/20 | 1534 | 64 | 8 |\n| 03/28/20 | 1264 | 49 | 4 |\n| 03/27/20 | 1036 | 45 | 3 |\n| 03/26/20 | 840 | 38 | 2 |\n| 03/25/20 | 658 | 29 | - |\n| 03/24/20 | 495 | 22 | - |\n| 03/23/20 | 438 | 17 | - |\n| 03/22/20 | 367 | 16 | - |\n| 03/21/20 | 306 | 16 | - |\n| 03/20/20 | 253 | 9 | - |\n| 03/19/20 | 199 | 5 | - |\n| 03/18/20 | 147 | 5 | - |\n| 03/17/20 | 114 | 5 | - |\n| 03/16/20 | 93 | 4 | - |\n| 03/15/20 | 63 | 3 | - |\n| 03/14/20 | 59 | 3 | - |\n| 03/13/20 | 45 | 3 | - |\n| 03/12/20 | 34 | 3 | - |\n| 03/11/20 | 28 | 3 | - |\n| 03/10/20 | 20 | 3 | - |\n| 03/09/20 | 20 | 3 | - |\n| 03/08/20 | 17 | 3 | - |\n| 03/07/20 | 14 | 2 | - |\n| 03/06/20 | 10 | 2 | - |\n| 03/05/20 | 4 | 2 | - |\n| 03/02/20 | 3 | 2 | - |\n| 02/12/20 | 2 | 2 | - |\n| 01/31/20 | 2 | - | - |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_39
[ "Parse the chart provided and convert it into a markdown table." ]
[ "| Province | Number of deaths |\n|---------------------------|--------------------|\n| Ontario | 122874 |\n| Quebec | 78500 |\n| British Columbia | 45102 |\n| Alberta | 32931 |\n| Manitoba | 11994 |\n| Saskatchewan | 11219 |\n| Nova Scotia | 10738 |\n| New Brunswick | 8519 |\n| Newfoundland and Labrador | 6126 |\n| Prince Edward Island | 1548 |\n| Northwest Territories | 312 |\n| Yukon | 304 |\n| Nunavut | 212 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_40
[ "Can you parse the chart and provide it as a markdown table?" ]
[ "| State | Consumption per capita in million British thermal units |\n|---------------|-----------------------------------------------------------|\n| Alaska | 931.9 |\n| Louisiana | 925.4 |\n| North Dakota | 904.9 |\n| Wyoming | 869.9 |\n| Iowa | 490.1 |\n| Texas | 485.8 |\n| West Virginia | 477.8 |\n| South Dakota | 457.7 |\n| Nebraska | 457.3 |\n| Oklahoma | 413.8 |\n| United States | 294.6 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_41
[ "Extract the data from the chart and format it as a markdown table." ]
[ "| Characteristic | Number of employees in millions |\n|------------------|-----------------------------------|\n| Jul '24 | 161.27 |\n| Jun '24 | 161.2 |\n| May '24 | 161.08 |\n| Apr '24 | 161.49 |\n| Mar '24 | 161.47 |\n| Feb '24 | 160.97 |\n| Jan '24 | 161.15 |\n| Dec '23 | 161.18 |\n| Nov '23 | 161.87 |\n| Oct '23 | 161.28 |\n| Sep '23 | 161.55 |\n| Aug '23 | 161.5 |\n| Jul '23 | 161.26 |\n| Jun '23 | 160.99 |\n| May '23 | 160.72 |\n| Apr '23 | 161.03 |\n| Mar '23 | 160.89 |\n| Feb '23 | 160.32 |\n| Jan '23 | 160.14 |\n| Dec '22 | 159.3 |\n| Nov '22 | 158.53 |\n| Oct '22 | 158.59 |\n| Sep '22 | 158.85 |\n| Aug '22 | 158.69 |\n| Jul '22 | 158.29 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_42
[ "Kindly parse the given chart into a markdown table." ]
[ "| Characteristic | Free apps | Paid apps |\n|------------------|-------------|-------------|\n| 2024-03 | 95.1% | 4.9% |\n| 2023-12 | 95.05% | 4.95% |\n| 2023-10 | 94.95% | 5.05% |\n| 2023-07 | 94.76% | 5.24% |\n| 2023-03 | 94.5% | 5.5% |\n| 2022-11 | 94.2% | 5.8% |\n| 2022-06 | 93.9% | 6.1% |\n| 2022-03 | 93.9% | 6.1% |\n| 2021-12 | 93.7% | 6.3% |\n| 2021-10 | 93.6% | 6.4% |\n| 2021-04 | 93.6% | 6.4% |\n| 2021-03 | 92.9% | 7.1% |\n| 2021-01 | 92.7% | 7.3% |\n| 2020-09 | 92.3% | 7.7% |\n| 2020-06 | 91.9% | 8.1% |\n| 2020-03 | 90.4% | 9.6% |\n| 2019-12 | 90.8% | 9.2% |\n| 2019-10 | 90.3% | 9.7% |\n| 2019-08 | 90.2% | 9.8% |\n| 2019-06 | 90% | 10% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_43
[ "Turn the given chart into a table in markdown format, please." ]
[ "| Characteristic | Exports in thousand barrels per day |\n|------------------|---------------------------------------|\n| 2023 | 10150 |\n| 2022 | 9520 |\n| 2021 | 8536 |\n| 2020 | 8498 |\n| 2019 | 8471 |\n| 2018 | 7601 |\n| 2017 | 6376 |\n| 2016 | 5261 |\n| 2015 | 4738 |\n| 2010 | 2353 |\n| 2005 | 1165 |\n| 2000 | 1040 |\n| 1995 | 949 |\n| 1990 | 857 |\n| 1985 | 781 |\n| 1980 | 544 |\n| 1975 | 209 |\n| 1970 | 259 |\n| 1965 | 187 |\n| 1960 | 202 |\n| 1955 | 368 |\n| 1950 | 305 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_44
[ "Kindly parse the given chart into a markdown table." ]
[ "| Characteristic | Number of points scored |\n|---------------------|---------------------------|\n| LeBron James* | 40474 |\n| Kareem Abdul-Jabbar | 38387 |\n| Karl Malone | 36928 |\n| Kobe Bryant | 33643 |\n| Michael Jordan | 32292 |\n| Dirk Nowitzki | 31560 |\n| Wilt Chamberlain | 31419 |\n| Kevin Durant* | 28924 |\n| Shaquille O'Neal | 28596 |\n| Carmelo Anthony | 28289 |\n| Moses Malone | 27409 |\n| Elvin Hayes | 27313 |\n| Hakeem Olajuwon | 26946 |\n| Oscar Robertson | 26710 |\n| Dominique Wilkins | 26668 |\n| Tim Duncan | 26496 |\n| Paul Pierce | 26397 |\n| John Havlicek | 26395 |\n| Kevin Garnett | 26071 |\n| James Harden* | 25885 |\n| Vince Carter | 25728 |\n| Alex English | 25613 |\n| Reggie Miller | 25279 |\n| Russell Westbrook* | 25211 |\n| Jerry West | 25192 |\n| Patrick Ewing | 24815 |\n| Ray Allen | 24505 |\n| Allen Iverson | 24368 |\n| Charles Barkley | 23757 |\n| Stephen Curry* | 23668 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_45
[ "Create a markdown table from the provided chart data." ]
[ "| Characteristic | Number of officers |\n|------------------|----------------------|\n| 2022/23 | 6038 |\n| 2021/22 | 6192 |\n| 2020/21 | 6478 |\n| 2019/20 | 6584 |\n| 2018/19 | 6621 |\n| 2017/18 | 6459 |\n| 2016/17 | 6278 |\n| 2015/16 | 5639 |\n| 2014/15 | 5647 |\n| 2013/14 | 5864 |\n| 2012/13 | 6092 |\n| 2011/12 | 6756 |\n| 2010/11 | 6653 |\n| 2009/10 | 6976 |\n| 2008/09 | 6906 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_46
[ "Parse the chart provided and convert it into a markdown table." ]
[ "| Characteristic | Number of newly registered names |\n|------------------|------------------------------------|\n| Noah | 657 |\n| Arthur | 549 |\n| Liam | 524 |\n| Louis | 517 |\n| Adam | 510 |\n| Jules | 475 |\n| Lucas | 434 |\n| Gabriel | 407 |\n| Victor | 391 |\n| Finn | 280 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_47
[ "Extract the data from the chart and format it as a markdown table." ]
[ "| Characteristic | Inhabitants in millions |\n|------------------|---------------------------|\n| 2029 | 1503.47 |\n| 2028 | 1491.67 |\n| 2027 | 1479.58 |\n| 2026 | 1467.23 |\n| 2025 | 1454.61 |\n| 2024 | 1441.72 |\n| 2023 | 1428.63 |\n| 2022 | 1417.17 |\n| 2021 | 1407.56 |\n| 2020 | 1396.39 |\n| 2019 | 1383.11 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_48
[ "Kindly parse the given chart into a markdown table." ]
[ "| Characteristic | Revenue in billion U.S. dollars |\n|---------------------------------|-----------------------------------|\n| Cenovus Energy Inc. | 39.01 |\n| Imperial Oil Ltd. | 37.22 |\n| Suncor Energy Inc. | 36.25 |\n| Enbridge Inc. | 31.17 |\n| Canadian Natural Resources Ltd. | 26.03 |\n| Parkland Corp | 22.85 |\n| TC Energy Corp. | 11.88 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_49
[ "Can you parse the chart and provide it as a markdown table?" ]
[ "| Characteristic | Trade value in million U.S. dollars |\n|------------------|---------------------------------------|\n| Singapore | 30112.8 |\n| Indonesia | 26176.3 |\n| Malaysia | 19419.3 |\n| Vietnam | 15151.3 |\n| Thailand | 15083.9 |\n| Philippines | 2836.35 |\n| Myanmar | 1894.9 |\n| Brunei | 437.6 |\n| Cambodia | 293.25 |\n| Laos | 15.45 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_50
[ "Parse the chart provided and convert it into a markdown table." ]
[ "| Characteristic | Revenue in million GBP |\n|------------------|--------------------------|\n| 2023 | 2030 |\n| 2022 | 1975 |\n| 2021 | 1735 |\n| 2020 | 1163 |\n| 2019 | 772 |\n| 2018 | 476 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_51
[ "Extract the data from the chart and format it as a markdown table." ]
[ "| Characteristic | Number of restaurants |\n|------------------|-------------------------|\n| 2023 | 7144 |\n| 2022 | 7389 |\n| 2021 | 7433 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_52
[ "Please generate a markdown table from the given chart." ]
[ "| Characteristic | Gross margin |\n|----------------------|----------------|\n| Novo Nordisk | 82.5% |\n| Gilead Sciences | 79.1% |\n| Eli Lilly | 76.8% |\n| Amgen | 75.4% |\n| AbbVie | 71.7% |\n| Merck & Co. | 70.5% |\n| Biogen | 70.4% |\n| Roche | 70.2% |\n| Novartis | 69.7% |\n| Johnson & Johnson | 67.7% |\n| GlaxoSmithKline | 66.3% |\n| AstraZenca | 63.3% |\n| Sanofi | 63.1% |\n| Pfizer | 61.9% |\n| Bristol-Myers Squibb | 57.4% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_53
[ "Convert the chart given into a markdown table format." ]
[ "| Characteristic | Imports in million metric tons |\n|---------------------------|----------------------------------|\n| United States | 16.8 |\n| Saudi Arabia | 4 |\n| West Africa | 2 |\n| South and Central America | 0.6 |\n| Europe | 0.3 |\n| Total | 23.7 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_54
[ "Create a markdown table from the provided chart data." ]
[ "| Characteristic | Crime index |\n|------------------|---------------|\n| 2024 | 75.4 |\n| 2023 | 75.5 |\n| 2022 | 75.4 |\n| 2021 | 76.9 |\n| 2020 | 77.3 |\n| 2019 | 77 |\n| 2018 | 76.1 |\n| 2017 | 75.4 |\n| 2016 | 77.5 |\n| 2015 | 77.9 |\n| 2014 | 78.9 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_55
[ "Please convert the provided chart into a markdown table." ]
[ "| Characteristic | Imports in thousand barrels per day |\n|------------------|---------------------------------------|\n| 2022 | 456 |\n| 2021 | 356 |\n| 2020 | 498 |\n| 2019 | 500 |\n| 2018 | 870 |\n| 2017 | 949 |\n| 2016 | 1099 |\n| 2015 | 1052 |\n| 2014 | 1159 |\n| 2013 | 1325 |\n| 2012 | 1361 |\n| 2011 | 1186 |\n| 2010 | 1082 |\n| 2005 | 1445 |\n| 2000 | 1523 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_56
[ "Extract the data from the chart and format it as a markdown table." ]
[ "| Characteristic | Box office revenue in million yuan |\n|------------------------------------------------------|--------------------------------------|\n| Successor | 425.95 |\n| Deadpool & Wolverine | 152.29 |\n| Decoded | 130.87 |\n| A Place Called Silence | 63.59 |\n| Evacuate from the 21st Century | 50.41 |\n| Despicable Me 4 | 41.96 |\n| White Snake: Afloat | 35.8 |\n| Under One Perso | 22.84 |\n| Upstream | 16.89 |\n| Pleasant Goat and Big Big Wolf — The World Guardians | 12.71 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_57
[ "Can you parse the chart and provide it as a markdown table?" ]
[ "| Characteristic | Number of cases |\n|--------------------------|-------------------|\n| South East | 3180101 |\n| London | 2947727 |\n| North West | 2621449 |\n| Scotland | 2189008 |\n| East of England | 2134859 |\n| West Midlands | 1974121 |\n| South West | 1869540 |\n| Yorkshire and The Humber | 1855846 |\n| East Midlands | 1650657 |\n| North East | 964009 |\n| Wales | 861235 |\n| Northern Ireland* | 713294 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_58
[ "Turn the given chart into a table in markdown format, please." ]
[ "| Characteristic | Inhabitants in thousands |\n|------------------|----------------------------|\n| 0-9 years | 1173 |\n| 10-19 years | 1243 |\n| 20-29 years | 1235 |\n| 30-39 years | 1496 |\n| 40-49 years | 1300 |\n| 50-59 years | 1343 |\n| 60-69 years | 1131 |\n| 70-79 years | 1019 |\n| 80-89 years | 509 |\n| 90-99 years | 100 |\n| 100+ years | 3 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_59
[ "Kindly parse the given chart into a markdown table." ]
[ "| Characteristic | Average crude oil price in U.S. dollars per barrel |\n|------------------|------------------------------------------------------|\n| 2024* | 84.01 |\n| 2023 | 82.49 |\n| 2022 | 100.93 |\n| 2021 | 70.86 |\n| 2020 | 41.96 |\n| 2019 | 64.3 |\n| 2018 | 71.34 |\n| 2017 | 54.25 |\n| 2016 | 43.67 |\n| 2015 | 52.32 |\n| 2014 | 98.97 |\n| 2013 | 108.56 |\n| 2012 | 111.63 |\n| 2011 | 111.26 |\n| 2010 | 79.47 |\n| 2009 | 61.51 |\n| 2008 | 96.99 |\n| 2007 | 72.52 |\n| 2006 | 65.14 |\n| 2005 | 54.38 |\n| 2004 | 38.1 |\n| 2003 | 28.83 |\n| 2002 | 25.01 |\n| 2001 | 24.45 |\n| 2000 | 28.4 |\n| 1999 | 17.9 |\n| 1998 | 12.8 |\n| 1997 | 19.1 |\n| 1996 | 20.8 |\n| 1995 | 17.2 |\n| 1994 | 16 |\n| 1993 | 17.1 |\n| 1992 | 19.4 |\n| 1991 | 20.1 |\n| 1990 | 23.8 |\n| 1989 | 18.2 |\n| 1988 | 15 |\n| 1987 | 18.4 |\n| 1986 | 14.4 |\n| 1985 | 27.5 |\n| 1984 | 28.7 |\n| 1983 | 29.6 |\n| 1982 | 33 |\n| 1981 | 35.9 |\n| 1980 | 36.8 |\n| 1979 | 31.6 |\n| 1978 | 14 |\n| 1977 | 13.9 |\n| 1976 | 12.8 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_60
[ "Turn the given chart into a table in markdown format, please." ]
[ "| Characteristic | Automotive/Mobile | Outdoor/Fitness | Aviation | Marine |\n|------------------|---------------------|-------------------|------------|----------|\n| 2022 | 11% | 54% | 16% | 19% |\n| 2021 | 12% | 57% | 14% | 17% |\n| 2020 | 11% | 58% | 15% | 16% |\n| 2019 | 15% | 52% | 20% | 13% |\n| 2018 | 19% | 50% | 18% | 13% |\n| 2017 | 24% | 47% | 16% | 12% |\n| 2016 | 29% | 45% | 15% | 11% |\n| 2015 | 37% | 39% | 14% | 10% |\n| 2014 | 43% | 35% | 13% | 9% |\n| 2013 | 49% | 30% | 13% | 8% |\n| 2012 | 55% | 27% | 11% | 7% |\n| 2011 | 58% | 24% | 10% | 8% |\n| 2010 | 62% | 21% | 10% | 7% |\n| 2009 | 70% | 16% | 8% | 6% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_61
[ "Can you parse the chart and provide it as a markdown table?" ]
[ "| Characteristic | Share of respondents |\n|----------------------|------------------------|\n| Very favorable | 5% |\n| Somewhat favorable | 20% |\n| Somewhat unfavorable | 19% |\n| Very unfavorable | 28% |\n| Don't know | 28% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_62
[ "Create a markdown table from the provided chart data." ]
[ "| Characteristic | U.S. dollars | Hong Kong dollars |\n|------------------|----------------|---------------------|\n| 2029* | 519.33 | 4056.46 |\n| 2028* | 495 | 3866.43 |\n| 2027* | 471.61 | 3683.72 |\n| 2026* | 449.26 | 3509.2 |\n| 2025* | 427.78 | 3341.41 |\n| 2024* | 406.78 | 3177.32 |\n| 2023 | 376.97 | 2951.51 |\n| 2022 | 358.7 | 2809.1 |\n| 2021 | 368.95 | 2867.97 |\n| 2020 | 344.94 | 2675.79 |\n| 2019 | 363.08 | 2845.02 |\n| 2018 | 361.73 | 2835.43 |\n| 2017 | 341.27 | 2659.61 |\n| 2016 | 320.86 | 2490.6 |\n| 2015 | 309.39 | 2398.28 |\n| 2014 | 291.46 | 2260.01 |\n| 2013 | 275.7 | 2138.31 |\n| 2012 | 262.63 | 2037.06 |\n| 2011 | 248.51 | 1934.43 |\n| 2010 | 228.64 | 1776.33 |\n| 2009 | 214.05 | 1659.25 |\n| 2008 | 219.28 | 1707.49 |\n| 2007 | 211.58 | 1650.76 |\n| 2006 | 193.52 | 1503.35 |\n| 2005 | 181.56 | 1412.13 |\n| 2004 | 169.09 | 1316.95 |\n| 2003 | 161.37 | 1256.67 |\n| 2002 | 166.34 | 1297.34 |\n| 2001 | 169.38 | 1321.14 |\n| 2000 | 171.64 | 1337.5 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_63
[ "Transform the provided chart into a table in markdown format." ]
[ "| Characteristic | GDP in million chained 2017 Canadian dollars |\n|------------------|------------------------------------------------|\n| 2023 | 43765.1 |\n| 2022 | 43188.4 |\n| 2021 | 41914 |\n| 2020 | 39525.3 |\n| 2019 | 41404.3 |\n| 2018 | 40021.6 |\n| 2017 | 39329.1 |\n| 2016 | 38542 |\n| 2015 | 38025.3 |\n| 2014 | 37736.2 |\n| 2013 | 37341.6 |\n| 2012 | 37443.8 |\n| 2011 | 37799.3 |\n| 2010 | 37681.8 |\n| 2009 | 36723.2 |\n| 2008 | 36704.7 |\n| 2007 | 36094.4 |\n| 2006 | 35752.7 |\n| 2005 | 35580.2 |\n| 2004 | 35143.7 |\n| 2003 | 34772.7 |\n| 2002 | 34327.5 |\n| 2001 | 32990.4 |\n| 2000 | 32115.4 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_64
[ "Extract the data from the chart and format it as a markdown table." ]
[ "| Characteristic | Inhabitants in millions |\n|------------------|---------------------------|\n| 2029* | 120.36 |\n| 2028* | 119.1 |\n| 2027* | 117.84 |\n| 2026* | 116.6 |\n| 2025* | 115.38 |\n| 2024* | 114.16 |\n| 2023 | 112.89 |\n| 2022 | 111.57 |\n| 2021 | 110.2 |\n| 2020 | 108.77 |\n| 2019 | 107.29 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_65
[ "Convert the chart given into a markdown table format." ]
[ "| Characteristic | Agriculture | Industry | Services |\n|------------------|---------------|------------|------------|\n| 2022 | 36.43% | 25.52% | 38.05% |\n| 2021 | 37.1% | 25.43% | 37.47% |\n| 2020 | 38.01% | 24.75% | 37.23% |\n| 2019 | 38.31% | 24.33% | 37.36% |\n| 2018 | 37.42% | 24.99% | 37.6% |\n| 2017 | 39.87% | 24.27% | 35.86% |\n| 2016 | 42.27% | 23.59% | 34.14% |\n| 2015 | 41.01% | 24.02% | 34.97% |\n| 2014 | 42.23% | 22.87% | 34.89% |\n| 2013 | 42.24% | 22.92% | 34.84% |\n| 2012 | 42.9% | 22.3% | 34.81% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_66
[ "Please convert the provided chart into a markdown table." ]
[ "| Characteristic | Inflation rate compared to previous year |\n|------------------|--------------------------------------------|\n| 2029* | 4.5% |\n| 2028* | 4.5% |\n| 2027* | 4.5% |\n| 2026* | 4.5% |\n| 2025* | 4.5% |\n| 2024* | 4.86% |\n| 2023 | 5.9% |\n| 2022 | 6.87% |\n| 2021 | 4.56% |\n| 2020 | 3.28% |\n| 2019 | 4.12% |\n| 2018 | 4.61% |\n| 2017 | 5.28% |\n| 2016 | 6.33% |\n| 2015 | 4.59% |\n| 2014 | 6.1% |\n| 2013 | 5.74% |\n| 2012 | 5.65% |\n| 2011 | 4.99% |\n| 2010 | 4.21% |\n| 2009 | 7.18% |\n| 2008 | 11.02% |\n| 2007 | 7.14% |\n| 2006 | 4.66% |\n| 2005 | 3.37% |\n| 2004 | 1.39% |\n| 2003 | 5.92% |\n| 2002 | 9.04% |\n| 2001 | 5.71% |\n| 2000 | 5.32% |\n| 1999 | 5.13% |\n| 1998 | 6.97% |\n| 1997 | 8.61% |\n| 1996 | 7.34% |\n| 1995 | 8.85% |\n| 1994 | 8.77% |\n| 1993 | 9.72% |\n| 1992 | 14.01% |\n| 1991 | 15.15% |\n| 1990 | 14.39% |\n| 1989 | 14.64% |\n| 1988 | 12.8% |\n| 1987 | 16.49% |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_67
[ "Create a markdown table from the provided chart data." ]
[ "| Characteristic | Number of people in millions |\n|------------------|--------------------------------|\n| Total | 207.75 |\n| Egypt | 105.67 |\n| Algeria | 45.97 |\n| Morocco | 36.67 |\n| Tunisia | 12.13 |\n| Libya | 6.78 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_68
[ "Convert the chart given into a markdown table format." ]
[ "| Characteristic | Damage in million U.S. dollars |\n|------------------|----------------------------------|\n| 2022 | 2769 |\n| 2021 | 3013 |\n| 2020 | 1013 |\n| 2019 | 3750 |\n| 2018 | 1644 |\n| 2017 | 60700 |\n| 2016 | 10907 |\n| 2015 | 2749 |\n| 2014 | 2626 |\n| 2013 | 2172 |\n| 2012 | 494 |\n| 2011 | 7978 |\n| 2010 | 3927 |\n| 2009 | 1050 |\n| 2008 | 3406 |\n| 2007 | 1278 |\n| 2006 | 3768 |\n| 2005 | 1538 |\n| 2004 | 1696 |\n| 2003 | 2541 |\n| 2002 | 655 |\n| 2001 | 1220 |\n| 2000 | 1255 |\n| 1995 | 1251 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_69
[ "Parse the chart provided and convert it into a markdown table." ]
[ "| Characteristic | GDP in billion U.S. dollars |\n|------------------|-------------------------------|\n| 2029* | 3645.29 |\n| 2028* | 3545 |\n| 2027* | 3437.18 |\n| 2026* | 3332.65 |\n| 2025* | 3223.13 |\n| 2024* | 3130.01 |\n| 2023 | 3031.78 |\n| 2022 | 2780.43 |\n| 2021 | 2958.3 |\n| 2020 | 2645.3 |\n| 2019 | 2729.17 |\n| 2018 | 2792.22 |\n| 2017 | 2594.24 |\n| 2016 | 2472.28 |\n| 2015 | 2439.44 |\n| 2014 | 2856.7 |\n| 2013 | 2811.92 |\n| 2012 | 2685.37 |\n| 2011 | 2864.65 |\n| 2010 | 2647.35 |\n| 2009 | 2697.96 |\n| 2008 | 2929.98 |\n| 2007 | 2660.91 |\n| 2006 | 2320.66 |\n| 2005 | 2198.16 |\n| 2004 | 2118.67 |\n| 2003 | 1844.08 |\n| 2002 | 1500.35 |\n| 2001 | 1377.67 |\n| 2000 | 1366.24 |\n| 1999 | 1494.63 |\n| 1998 | 1505.18 |\n| 1997 | 1454.56 |\n| 1996 | 1606.04 |\n| 1995 | 1602.13 |\n| 1994 | 1396.65 |\n| 1993 | 1324.24 |\n| 1992 | 1404.39 |\n| 1991 | 1273.59 |\n| 1990 | 1272.43 |\n| 1989 | 1026.18 |\n| 1988 | 1020.88 |\n| 1987 | 935.12 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_70
[ "Convert the chart given into a markdown table format." ]
[ "| Characteristic | Number of incidents |\n|------------------|-----------------------|\n| 2022 | 10 |\n| 2021 | 9 |\n| 2020 | 26 |\n| 2019 | 25 |\n| 2018 | 36 |\n| 2017 | 43 |\n| 2016 | 49 |\n| 2015 | 108 |\n| 2014 | 100 |\n| 2013 | 106 |\n| 2012 | 81 |\n| 2011 | 46 |\n| 2010 | 40 |\n| 2009 | 15 |\n| 2008 | 28 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_71
[ "Create a markdown table from the provided chart data." ]
[ "| Characteristic | Number of titles |\n|--------------------|--------------------|\n| Sir Alex Ferguson | 13 |\n| Pep Guardiola | 5 |\n| José Mourinho | 3 |\n| Arsène Wenger | 3 |\n| Manuel Pellegrini | 1 |\n| Jürgen Klopp | 1 |\n| Antonio Conte | 1 |\n| Sir Kenny Dalglish | 1 |\n| Carlo Ancelotti | 1 |\n| Claudio Ranieri | 1 |\n| Roberto Mancini | 1 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_72
[ "Please generate a markdown table from the given chart." ]
[ "| Company (headquarters) | Value in billion U.S. dollars |\n|---------------------------|---------------------------------|\n| Kavak (Mexico) | 8.7 |\n| Rappi (Colombia) | 5.25 |\n| QuintoAndar (Brazil) | 5.1 |\n| C6 Bank (Brazil) | 5.05 |\n| Creditas (Brazil) | 4.8 |\n| Nuvemshop (Brazil) | 3.1 |\n| Wildlife Studios (Brazil) | 3 |\n| Loft (Brazil) | 2.9 |\n| Unico (Brazil) | 2.6 |\n| Uala (Argentina) | 2.45 |\n| Bitso (Mexico) | 2.2 |\n| CloudWalk (Brazil) | 2.15 |\n| Loggi (Brazil) | 2 |\n| Clip (Mexico) | 2 |\n| Olist (Brazil) | 1.5 |\n| Kushki (Ecuador) | 1.5 |\n| Dock (Brazil) | 1.5 |\n| Neon (Brazil) | 1.38 |\n| Konfio (Mexico) | 1.3 |\n| stori (Mexico) | 1.2 |\n| Merama(Mexico) | 1.2 |\n| LifeMiles (Colombia) | 1.15 |\n| Nowports (Mexico) | 1.1 |\n| CargoX (Brazil) | 1 |\n| Clara (Mexico) | 1 |\n| Movile (Brazil) | 1 |\n| MadeiraMadeira (Brazil) | 1 |\n| EBANX (Brazil) | 1 |\n| Habi (Colombia) | 1 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_73
[ "Extract the data from the chart and format it as a markdown table." ]
[ "| Characteristic | Revenue in million U.S. dollars |\n|------------------|-----------------------------------|\n| 2023 | 15320.2 |\n| 2022 | 14187.8 |\n| 2021 | 12733.1 |\n| 2020 | 11790.2 |\n| 2019 | 12562 |\n| 2018 | 12222.1 |\n| 2017 | 11531.1 |\n| 2016 | 13151.8 |\n| 2015 | 13545.1 |\n| 2014 | 14280.5 |\n| 2013 | 13253.4 |\n| 2012 | 11838.7 |\n| 2011 | 6798.5 |\n| 2010 | 6089.7 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_74
[ "Please convert the provided chart into a markdown table." ]
[ "| Characteristic | Homicides per 100,000 inhabitants |\n|------------------|-------------------------------------|\n| 2022 | 15.27 |\n| 2021 | 11.38 |\n| 2020 | 14.61 |\n| 2019 | 17.13 |\n| 2018 | 10.01 |\n| 2017 | 10.75 |\n| 2016 | 7.9 |\n| 2015 | 11.15 |\n| 2014 | 9.01 |\n| 2013 | 8.67 |\n| 2012 | 7.97 |\n| 2011 | 9.8 |\n| 2010 | 11.28 |" ]
Chart2Markdown
NovelCharts
Chart2Markdown_train_75
[ "Can you parse the chart and provide it as a markdown table?" ]
[ "| Characteristic | Deaths per 1,000 live births |\n|------------------|--------------------------------|\n| Total | 55.17 |\n| Male | 60.43 |\n| Female | 49.6 |" ]
Chart2Markdown
NovelCharts
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