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{'mark': 'line', 'encoding': {'x': {'field': '', 'type': 'temporal'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1824, 'y': 6006}, {'x': 1829, 'y': 6006}]}} |
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{'mark': 'circle', 'encoding': {'x': {'field': 'Profit', 'type': 'quantitative'}, 'y': {'field': 'Literacy Rate', 'type': 'quantitative'}}, 'data': {'values': [{'x': 75.78, 'y': 89.28}, {'x': 237.06, 'y': 211.11}, {'x': 205.11, 'y': 50.15}, {'x': 419.13, 'y': 82.18}, {'x': 244.92, 'y': 220.52}]}} |
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{'mark': 'circle', 'encoding': {'x': {'field': 'Manufacturing Output', 'type': 'quantitative'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 4368, 'y': 42}, {'x': 4368, 'y': 36}]}} |
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{'mark': 'bar', 'encoding': {'x': {'field': 'Relative Frequency of Age Groups by Educational Attainment', 'type': 'nominal'}, 'y': {'field': 'Cost', 'type': 'quantitative'}}, 'data': {'values': [{'x': 'Red', 'y': 1218}, {'x': 'USA', 'y': 1044}, {'x': 'Dog', 'y': 696}, {'x': 'Nike', 'y': 696}, {'x': 'Apple', 'y': 1218}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Hospital Admissions', 'type': 'temporal'}, 'y': {'field': 'Energy Consumption', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1832, 'y': 902.51}, {'x': 1842, 'y': 834.94}, {'x': 1852, 'y': 765.2}, {'x': 1862, 'y': 101.46}, {'x': 1872, 'y': 280.42}, {'x': 1882, 'y': 765.2}, {'x': 1892, 'y': 765.2}, {'x': 1902, 'y': 834.94}, {'x': 1912, 'y': 547.89}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Mental Health', 'type': 'temporal'}, 'y': {'field': 'Currency Exchange', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1811, 'y': 604.69}, {'x': 1817, 'y': 317.51}, {'x': 1823, 'y': 317.51}, {'x': 1829, 'y': 143.39}, {'x': 1835, 'y': 312.01}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Expected Value Of Stock Investment Returns Considering Market Fluctuations', 'type': 'temporal'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1886, 'y': 4858}, {'x': 1893, 'y': 3470}, {'x': 1900, 'y': 4164}, {'x': 1907, 'y': 2776}, {'x': 1914, 'y': 694}, {'x': 1921, 'y': 694}, {'x': 1928, 'y': 6246}]}} |
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{'mark': 'bar', 'encoding': {'x': {'field': '', 'type': 'nominal'}, 'y': {'field': 'Pollution Level', 'type': 'quantitative'}}, 'data': {'values': [{'x': 'Red', 'y': 51.28}, {'x': 'USA', 'y': 167.6}, {'x': 'Dog', 'y': 26.46}, {'x': 'Nike', 'y': 152.23}, {'x': 'Apple', 'y': 26.46}, {'x': 'Male', 'y': 167.6}, {'x': 'Rock', 'y': 152.23}, {'x': 'Sedan', 'y': 38.69}, {'x': 'Spanish', 'y': 167.6}, {'x': 'New York', 'y': 61.92}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Disease Prevalence', 'type': 'temporal'}, 'y': {'field': 'Sleep Duration', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1848, 'y': 198.42}, {'x': 1852, 'y': 198.42}, {'x': 1856, 'y': 3.65}]}} |
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{'mark': 'circle', 'encoding': {'x': {'field': 'Sales', 'type': 'quantitative'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 4170, 'y': 158.66}, {'x': 3336, 'y': 201.14}, {'x': 7506, 'y': 147.52}, {'x': 5838, 'y': 344.7}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Kurtosis', 'type': 'temporal'}, 'y': {'field': 'Producer Price Index', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1871, 'y': 3264}, {'x': 1877, 'y': 816}, {'x': 1883, 'y': 1224}, {'x': 1889, 'y': 3264}, {'x': 1895, 'y': 408}, {'x': 1901, 'y': 816}, {'x': 1907, 'y': 2448}, {'x': 1913, 'y': 2040}, {'x': 1919, 'y': 2448}, {'x': 1925, 'y': 2448}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Average Monthly Rainfall (mm) in Coastal Areas by Region', 'type': 'temporal'}, 'y': {'field': 'Exercise Frequency', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1810, 'y': 126.52}, {'x': 1812, 'y': 476.94}, {'x': 1814, 'y': 126.52}, {'x': 1816, 'y': 126.52}]}} |
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{'mark': 'circle', 'encoding': {'x': {'field': 'Impact Factor Of Scientific Journals Over Five Years Of Publication', 'type': 'quantitative'}, 'y': {'field': 'Sleep Duration', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1512, 'y': 237.55}, {'x': 432, 'y': 389.52}, {'x': 432, 'y': 341.88}]}} |
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{'mark': 'circle', 'encoding': {'x': {'field': 'Variance Explained By The First Two Principal Components', 'type': 'quantitative'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 525.51, 'y': 454}, {'x': 129.44, 'y': 2724}, {'x': 908.65, 'y': 3632}, {'x': 516.64, 'y': 3632}, {'x': 566.02, 'y': 454}, {'x': 437.37, 'y': 4086}, {'x': 717.46, 'y': 3632}, {'x': 840.45, 'y': 454}, {'x': 416.71, 'y': 2724}, {'x': 612.92, 'y': 2724}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Death Rate', 'type': 'temporal'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1847, 'y': 107.22}, {'x': 1856, 'y': 83.58}, {'x': 1865, 'y': 107.22}, {'x': 1874, 'y': 107.22}, {'x': 1883, 'y': 68.87}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Cumulative Distribution Function of Income Percentiles', 'type': 'temporal'}, 'y': {'field': 'Probability Density Function Of Age Distribution In Population Survey', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1862, 'y': 96.68}, {'x': 1872, 'y': 150.88}, {'x': 1882, 'y': 428.67}, {'x': 1892, 'y': 150.88}, {'x': 1902, 'y': 327.4}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Fuel Consumption', 'type': 'temporal'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1859, 'y': 2360}, {'x': 1868, 'y': 2360}]}} |
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{'mark': 'bar', 'encoding': {'x': {'field': 'Probabilistic Modeling Of Financial Risks In Investment Portfolios', 'type': 'nominal'}, 'y': {'field': 'Revenue', 'type': 'quantitative'}}, 'data': {'values': [{'x': 'Red', 'y': 18}, {'x': 'USA', 'y': 54}, {'x': 'Dog', 'y': 27}, {'x': 'Nike', 'y': 9}, {'x': 'Apple', 'y': 18}, {'x': 'Male', 'y': 36}, {'x': 'Rock', 'y': 63}, {'x': 'Sedan', 'y': 27}, {'x': 'Spanish', 'y': 72}]}} |
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{'mark': 'bar', 'encoding': {'x': {'field': '', 'type': 'nominal'}, 'y': {'field': 'Quantile Regression Estimates Of Salary By Experience Level', 'type': 'quantitative'}}, 'data': {'values': [{'x': 'Red', 'y': 3148}, {'x': 'USA', 'y': 6296}, {'x': 'Dog', 'y': 3148}, {'x': 'Nike', 'y': 5509}, {'x': 'Apple', 'y': 3148}, {'x': 'Male', 'y': 3148}, {'x': 'Rock', 'y': 6296}, {'x': 'Sedan', 'y': 3148}]}} |
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{'mark': 'bar', 'encoding': {'x': {'field': '', 'type': 'nominal'}, 'y': {'field': 'Normalized Residuals vs Predicted Values for Regression Model', 'type': 'quantitative'}}, 'data': {'values': [{'x': 'Red', 'y': 116}, {'x': 'USA', 'y': 812}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Outlier Detection Methods In Sales Data For Anomalies', 'type': 'temporal'}, 'y': {'field': 'Participation Rate', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1903, 'y': 37.9}, {'x': 1909, 'y': 590.16}, {'x': 1915, 'y': 501.79}, {'x': 1921, 'y': 444.64}, {'x': 1927, 'y': 396.33}, {'x': 1933, 'y': 408.66}, {'x': 1939, 'y': 590.16}, {'x': 1945, 'y': 79.77}, {'x': 1951, 'y': 79.77}]}} |
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{'mark': 'circle', 'encoding': {'x': {'field': 'Unemployment', 'type': 'quantitative'}, 'y': {'field': 'Exponential Moving Average Of Daily Crude Oil Prices Over 12 Months', 'type': 'quantitative'}}, 'data': {'values': [{'x': 479.81, 'y': 121.88}, {'x': 577.44, 'y': 303.61}, {'x': 405.31, 'y': 0.24}, {'x': 238.11, 'y': 22.87}, {'x': 405.61, 'y': 51.47}, {'x': 209.73, 'y': 98.16}, {'x': 41.43, 'y': 51.47}, {'x': 632.52, 'y': 276.01}, {'x': 535.66, 'y': 276.01}]}} |
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{'mark': 'bar', 'encoding': {'x': {'field': '', 'type': 'nominal'}, 'y': {'field': 'Expenses', 'type': 'quantitative'}}, 'data': {'values': [{'x': 'Red', 'y': 3486}, {'x': 'USA', 'y': 498}, {'x': 'Dog', 'y': 498}, {'x': 'Nike', 'y': 996}, {'x': 'Apple', 'y': 3486}, {'x': 'Male', 'y': 4980}, {'x': 'Rock', 'y': 498}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': '', 'type': 'temporal'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1872, 'y': 23.12}, {'x': 1876, 'y': 23.12}, {'x': 1880, 'y': 6.07}, {'x': 1884, 'y': 44.06}]}} |
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{'mark': 'circle', 'encoding': {'x': {'field': '', 'type': 'quantitative'}, 'y': {'field': 'Customer Reviews', 'type': 'quantitative'}}, 'data': {'values': [{'x': 536.17, 'y': 93.37}, {'x': 209.92, 'y': 172.7}]}} |
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{'mark': 'circle', 'encoding': {'x': {'field': 'Income', 'type': 'quantitative'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 52.13, 'y': 34.04}, {'x': 82.67, 'y': 78.24}, {'x': 33.09, 'y': 180.83}, {'x': 115.17, 'y': 78.24}]}} |
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{'mark': 'bar', 'encoding': {'x': {'field': 'Quantile Regression Estimates Of Salary By Experience Level', 'type': 'nominal'}, 'y': {'field': 'Percentage Change In Unemployment Rate Compared To Previous Year', 'type': 'quantitative'}}, 'data': {'values': [{'x': 'Red', 'y': 274.86}, {'x': 'USA', 'y': 687.13}, {'x': 'Dog', 'y': 9.03}, {'x': 'Nike', 'y': 274.86}, {'x': 'Apple', 'y': 179.11}, {'x': 'Male', 'y': 9.03}, {'x': 'Rock', 'y': 614.16}, {'x': 'Sedan', 'y': 329.05}]}} |
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{'mark': 'bar', 'encoding': {'x': {'field': '', 'type': 'nominal'}, 'y': {'field': 'Median Household Income Indexed By Regional Inflation Rates', 'type': 'quantitative'}}, 'data': {'values': [{'x': 'Red', 'y': 252.19}, {'x': 'USA', 'y': 461.86}, {'x': 'Dog', 'y': 808.14}, {'x': 'Nike', 'y': 533.08}, {'x': 'Apple', 'y': 461.86}, {'x': 'Male', 'y': 699.85}]}} |
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{'mark': 'bar', 'encoding': {'x': {'field': '', 'type': 'nominal'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 'Red', 'y': 4720}, {'x': 'USA', 'y': 3540}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': '', 'type': 'temporal'}, 'y': {'field': 'Water Usage', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1811, 'y': 34.23}, {'x': 1821, 'y': 34.23}, {'x': 1831, 'y': 102.26}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Effectiveness Of Intervention Programs On Youth Crime Rates', 'type': 'temporal'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1894, 'y': 25.37}, {'x': 1896, 'y': 148.38}]}} |
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{'mark': 'bar', 'encoding': {'x': {'field': 'Temperature', 'type': 'nominal'}, 'y': {'field': 'Mode Age', 'type': 'quantitative'}}, 'data': {'values': [{'x': 'Red', 'y': 3060}, {'x': 'USA', 'y': 1020}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Debt Level', 'type': 'temporal'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1829, 'y': 12.08}, {'x': 1836, 'y': 414.46}, {'x': 1843, 'y': 539.37}, {'x': 1850, 'y': 547.09}, {'x': 1857, 'y': 549.07}, {'x': 1864, 'y': 12.08}, {'x': 1871, 'y': 414.46}, {'x': 1878, 'y': 5.28}]}} |
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{'mark': 'circle', 'encoding': {'x': {'field': 'Crime Index', 'type': 'quantitative'}, 'y': {'field': 'App Downloads', 'type': 'quantitative'}}, 'data': {'values': [{'x': 801.36, 'y': 334.56}, {'x': 733.37, 'y': 120.35}, {'x': 26.52, 'y': 214.02}, {'x': 499.45, 'y': 118.6}, {'x': 252.17, 'y': 334.56}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Participation Rate', 'type': 'temporal'}, 'y': {'field': 'Life Expectancy', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1868, 'y': 4995}, {'x': 1877, 'y': 1665}, {'x': 1886, 'y': 4995}]}} |
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{'mark': 'line', 'encoding': {'x': {'field': 'Height', 'type': 'temporal'}, 'y': {'field': '', 'type': 'quantitative'}}, 'data': {'values': [{'x': 1845, 'y': 515.61}, {'x': 1846, 'y': 110.76}, {'x': 1847, 'y': 502.14}]}} |
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{'mark': 'circle', 'encoding': {'x': {'field': '', 'type': 'quantitative'}, 'y': {'field': 'Correlation Coefficient Between Air Pollution Levels And Respiratory Diseases', 'type': 'quantitative'}}, 'data': {'values': [{'x': 544, 'y': 705}, {'x': 680, 'y': 987}, {'x': 544, 'y': 564}, {'x': 408, 'y': 564}, {'x': 544, 'y': 564}, {'x': 272, 'y': 564}, {'x': 476, 'y': 564}, {'x': 476, 'y': 564}]}} |
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