aravind-selvam/chart_data_y · Datasets at Hugging Face

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	<s><s_Y_ticks>12000000<xt>10000000<xt>8000000<xt>6000000<xt>4000000<xt>2000000<xt>0</s_Y_ticks><s_Y_label>Population</s_Y_label></s>
	<s><s_Y_ticks>70000<xt>60000<xt>50000<xt>40000<xt>30000<xt>20000<xt>10000<xt>0</s_Y_ticks><s_Y_label>POPULATION</s_Y_label></s>
	<s><s_Y_ticks>250<xt>200<xt>150<xt>100<xt>50</s_Y_ticks><s_Y_label> </s_Y_label></s>
	<s><s_Y_ticks>0.0<xt>50.0<xt>100.0<xt>150.0<xt>200.0<xt>250.0</s_Y_ticks><s_Y_label>Agricultural index</s_Y_label></s>
	<s><s_Y_ticks>15.2<xt>15.1<xt>15.0<xt>14.9<xt>14.8<xt>14.7</s_Y_ticks><s_Y_label>Stock Price (USD)</s_Y_label></s>
	<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>Frequency</s_Y_label></s>
	<s><s_Y_ticks>250000000<xt>200000000<xt>150000000<xt>100000000<xt>50000000<xt>0</s_Y_ticks><s_Y_label>Urban population</s_Y_label></s>
	<s><s_Y_ticks>0.00012<xt>0.00008<xt>0.00004<xt>0.00000</s_Y_ticks><s_Y_label> </s_Y_label></s>
	<s><s_Y_ticks>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>PERCENTAGE</s_Y_label></s>
	<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>Happiness Index</s_Y_label></s>
	<s><s_Y_ticks>40<xt>38<xt>36<xt>34<xt>32<xt>30<xt>28<xt>26<xt>24<xt>22<xt>20<xt>18<xt>16<xt>14<xt>12<xt>10<xt>8<xt>6<xt>4<xt>2</s_Y_ticks><s_Y_label>Temperature degree celsius</s_Y_label></s>
	<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>infants(in lacs)</s_Y_label></s>
	<s><s_Y_ticks>14000000<xt>12000000<xt>10000000<xt>8000000<xt>6000000<xt>4000000<xt>2000000<xt>0</s_Y_ticks><s_Y_label>URBAN POPULATION</s_Y_label></s>
	<s><s_Y_ticks>8<xt>6<xt>4<xt>2<xt>0</s_Y_ticks><s_Y_label>Number of workers x 1000</s_Y_label></s>
	<s><s_Y_ticks>400<xt>300<xt>200<xt>100</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>
	<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Percentage Of Rural Population</s_Y_label></s>
	<s><s_Y_ticks>22.75<xt>22.50<xt>22.25<xt>22.00<xt>21.75<xt>21.50<xt>21.25<xt>21.00</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>
	<s><s_Y_ticks>0<xt>50<xt>100<xt>150<xt>200<xt>250</s_Y_ticks><s_Y_label>SEX RATIO</s_Y_label></s>
	<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex ratio</s_Y_label></s>
	<s><s_Y_ticks>0<xt>5<xt>10<xt>15<xt>20<xt>25<xt>30<xt>35<xt>40</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>
	<s><s_Y_ticks>90<xt>80<xt>70<xt>60<xt>50<xt>40<xt>30<xt>20<xt>10<xt>0</s_Y_ticks><s_Y_label>Percentage Of Rural Population</s_Y_label></s>
	<s><s_Y_ticks>18<xt>16<xt>14<xt>12<xt>10<xt>8<xt>6<xt>4<xt>2<xt>0</s_Y_ticks><s_Y_label>VALUE OF AIR QUALITY</s_Y_label></s>
	<s><s_Y_ticks>80.00<xt>70.00<xt>60.00<xt>50.00<xt>40.00<xt>30.00<xt>20.00<xt>10.00<xt>0.00</s_Y_ticks><s_Y_label>Share of cereals allocated to animal feed (FAO, 2020)</s_Y_label></s>
	<s><s_Y_ticks>10000000<xt>9000000<xt>8000000<xt>7000000<xt>6000000<xt>5000000<xt>4000000<xt>3000000<xt>2000000<xt>1000000<xt>0</s_Y_ticks><s_Y_label>Population</s_Y_label></s>
	<s><s_Y_ticks>60<xt>50<xt>40<xt>30<xt>20<xt>10<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>
	<s><s_Y_ticks>150,000<xt>120,000<xt>90,000<xt>60,000<xt>30,000</s_Y_ticks><s_Y_label>Budget (million Yen)</s_Y_label></s>
	<s><s_Y_ticks>800<xt>700<xt>600<xt>500<xt>400<xt>300<xt>200<xt>100<xt>0</s_Y_ticks><s_Y_label>COST IN MILLIONS</s_Y_label></s>
	<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>
	<s><s_Y_ticks>113<xt>112<xt>111<xt>110<xt>109<xt>108<xt>107<xt>106</s_Y_ticks><s_Y_label>Male sex ratio</s_Y_label></s>
	<s><s_Y_ticks>26<xt>24<xt>22<xt>20<xt>18<xt>16<xt>14<xt>12<xt>10<xt>8<xt>6<xt>4<xt>2<xt>0</s_Y_ticks><s_Y_label>No. of motorcycle owners</s_Y_label></s>
	<s><s_Y_ticks>1000<xt>900<xt>800<xt>700<xt>600<xt>500<xt>400<xt>300<xt>200<xt>100<xt>0</s_Y_ticks><s_Y_label>DALY Disability-Adjusted Life Years</s_Y_label></s>
	<s><s_Y_ticks>140000000<xt>120000000<xt>100000000<xt>80000000<xt>60000000<xt>40000000<xt>20000000<xt>0</s_Y_ticks><s_Y_label>Population</s_Y_label></s>
	<s><s_Y_ticks>900<xt>800<xt>700<xt>600<xt>500<xt>400<xt>300<xt>200<xt>100<xt>0</s_Y_ticks><s_Y_label>Population Density</s_Y_label></s>
	<s><s_Y_ticks>3380000<xt>3400000<xt>3420000<xt>3440000<xt>3460000<xt>3480000<xt>3500000<xt>3520000<xt>3540000<xt>3560000<xt>3580000</s_Y_ticks><s_Y_label>URBAN POPULATION</s_Y_label></s>
	<s><s_Y_ticks>112<xt>110<xt>108<xt>106<xt>104<xt>102<xt>100<xt>98<xt>96</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>
	<s><s_Y_ticks>900<xt>800<xt>700<xt>600<xt>500<xt>400<xt>300<xt>200<xt>100<xt>0</s_Y_ticks><s_Y_label>No. of Deaths by Malaria</s_Y_label></s>
	<s><s_Y_ticks>21.325<xt>21.300<xt>21.275<xt>21.250<xt>21.225<xt>21.200<xt>21.175</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>
	<s><s_Y_ticks>70000000<xt>60000000<xt>50000000<xt>40000000<xt>30000000<xt>20000000<xt>10000000<xt>0</s_Y_ticks><s_Y_label>URBAN POPULATION</s_Y_label></s>
	<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>no. of days</s_Y_label></s>
	<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Percentage Of Rural Population</s_Y_label></s>
	<s><s_Y_ticks>35<xt>30<xt>25<xt>20<xt>15<xt>10<xt>5<xt>0</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>
	<s><s_Y_ticks>500.0<xt>450.0<xt>400.0<xt>350.0<xt>300.0<xt>250.0<xt>200.0<xt>150.0<xt>100.0<xt>50.0<xt>0.0</s_Y_ticks><s_Y_label>DALY DISABILITY-ADJUSTED LIFE YEARS</s_Y_label></s>
	<s><s_Y_ticks>100<xt>90<xt>80<xt>70<xt>60<xt>50<xt>40<xt>30<xt>20<xt>10<xt>0</s_Y_ticks><s_Y_label>VALUE OF AIR QUALITY</s_Y_label></s>
	<s><s_Y_ticks>24.3<xt>24.2<xt>24.1<xt>24.0<xt>23.9<xt>23.8<xt>23.7<xt>23.6</s_Y_ticks><s_Y_label>Price (USD)</s_Y_label></s>
	<s><s_Y_ticks>7000000<xt>6000000<xt>5000000<xt>4000000<xt>3000000<xt>2000000<xt>1000000<xt>0</s_Y_ticks><s_Y_label>POPULATION</s_Y_label></s>
	<s><s_Y_ticks>105.5<xt>105<xt>104.5<xt>104<xt>103.5<xt>103<xt>102.5<xt>102<xt>101.5<xt>101<xt>100.5<xt>100</s_Y_ticks><s_Y_label>Sex ratio</s_Y_label></s>
	<s><s_Y_ticks>35.0<xt>30.0<xt>25.0<xt>20.0<xt>15.0<xt>10.0<xt>5.0<xt>0.0</s_Y_ticks><s_Y_label>Agriculture, forestry, and fishing, value added (% of GDP)</s_Y_label></s>
	<s><s_Y_ticks>10,000<xt>9000<xt>8000<xt>7000<xt>6000<xt>5000</s_Y_ticks><s_Y_label>Yield (kg ha power -1)</s_Y_label></s>
	<s><s_Y_ticks>3.3<xt>3.2<xt>3.1<xt>3.0<xt>2.9<xt>2.8<xt>2.7<xt>2.6</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>
	<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>No.of Students (*1000)</s_Y_label></s>
	<s><s_Y_ticks>120.0<xt>100.0<xt>80.0<xt>60.0<xt>40.0<xt>20.0<xt>0.0</s_Y_ticks><s_Y_label>Agricultural index</s_Y_label></s>
	<s><s_Y_ticks>106<xt>104<xt>102<xt>100<xt>98<xt>96<xt>94<xt>92<xt>90<xt>88<xt>86</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>
	<s><s_Y_ticks>600000<xt>500000<xt>400000<xt>300000<xt>200000<xt>100000<xt>0</s_Y_ticks><s_Y_label>POPULATION</s_Y_label></s>
	<s><s_Y_ticks>120.0<xt>100.0<xt>80.0<xt>60.0<xt>40.0<xt>20.0<xt>0.0</s_Y_ticks><s_Y_label>Agricultural index</s_Y_label></s>
	<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>No. of students (*100)</s_Y_label></s>
	<s><s_Y_ticks>500,000<xt>450,000<xt>400,000<xt>350,000<xt>300,000<xt>250,000<xt>200,000<xt>150,000<xt>100,000<xt>50,000<xt>0</s_Y_ticks><s_Y_label>US$ million</s_Y_label></s>
	<s><s_Y_ticks>1400<xt>1200<xt>1000<xt>800<xt>600<xt>400<xt>200<xt>0</s_Y_ticks><s_Y_label>TONNES</s_Y_label></s>
	<s><s_Y_ticks>900.0<xt>800.0<xt>700.0<xt>600.0<xt>500.0<xt>400.0<xt>300.0<xt>200.0<xt>100.0<xt>0.0</s_Y_ticks><s_Y_label>COST IN MILLIONS</s_Y_label></s>
	<s><s_Y_ticks>1200000<xt>1000000<xt>800000<xt>600000<xt>400000<xt>200000<xt>0</s_Y_ticks><s_Y_label>VALUE OF AIR QUALITY</s_Y_label></s>
	<s><s_Y_ticks>30000.0<xt>25000.0<xt>20000.0<xt>15000.0<xt>10000.0<xt>5000.0<xt>0.0</s_Y_ticks><s_Y_label>GDP per capita, PPP (constant 2017 int. $)</s_Y_label></s>
	<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>No. of costmers interested in the plot</s_Y_label></s>
	<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>
	<s><s_Y_ticks>180.0<xt>160.0<xt>140.0<xt>120.0<xt>100.0<xt>80.0<xt>60.0<xt>40.0<xt>20.0<xt>0.0</s_Y_ticks><s_Y_label>Labor index</s_Y_label></s>
	<s><s_Y_ticks>250.0<xt>200.0<xt>150.0<xt>100.0<xt>50.0<xt>0.0</s_Y_ticks><s_Y_label>COST IN MILLIONS</s_Y_label></s>
	<s><s_Y_ticks>70000<xt>60000<xt>50000<xt>40000<xt>30000<xt>20000<xt>10000<xt>0</s_Y_ticks><s_Y_label>TOTAL DEATHS</s_Y_label></s>
	<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1</s_Y_ticks><s_Y_label>total population (in millions)</s_Y_label></s>
	<s><s_Y_ticks>20<xt>15<xt>10<xt>5<xt>0</s_Y_ticks><s_Y_label>Network load (#Tx + Rx/epoch)</s_Y_label></s>
	<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>no. of days</s_Y_label></s>
	<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>
	<s><s_Y_ticks>45<xt>40<xt>35<xt>30<xt>25<xt>20<xt>15<xt>10<xt>5<xt>0</s_Y_ticks><s_Y_label>Agriculture, forestry, and fishing, value added (% of GDP)</s_Y_label></s>
	<s><s_Y_ticks>52.5<xt>52<xt>51.5<xt>51<xt>50.5<xt>50<xt>49.5<xt>49<xt>48.5<xt>48<xt>47.5</s_Y_ticks><s_Y_label>% OF FEMALE POPULATION</s_Y_label></s>
	<s><s_Y_ticks>19.5<xt>19.0<xt>18.5<xt>18.0<xt>17.5<xt>17.0</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>
	<s><s_Y_ticks>180<xt>160<xt>140<xt>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>NO. OF DEATHS BY MALARIA</s_Y_label></s>
	<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>No. of costmers interested in the plot</s_Y_label></s>
	<s><s_Y_ticks>18<xt>16<xt>14<xt>12<xt>10<xt>8<xt>6<xt>4<xt>2<xt>0</s_Y_ticks><s_Y_label>Frequency</s_Y_label></s>
	<s><s_Y_ticks>90000<xt>80000<xt>70000<xt>60000<xt>50000<xt>40000<xt>30000<xt>20000<xt>10000<xt>0</s_Y_ticks><s_Y_label>Value of air quality</s_Y_label></s>
	<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>
	<s><s_Y_ticks>60.00<xt>50.00<xt>40.00<xt>30.00<xt>20.00<xt>10.00<xt>0</s_Y_ticks><s_Y_label>Consumer price index</s_Y_label></s>
	<s><s_Y_ticks>10,000,000<xt>9,000,000<xt>8,000,000<xt>7,000,000<xt>6,000,000<xt>5,000,000<xt>4,000,000<xt>3,000,000<xt>2,000,000<xt>1,000,000<xt>0</s_Y_ticks><s_Y_label>VALUE OF AIR QUALITY</s_Y_label></s>
	<s><s_Y_ticks>250.0<xt>200.0<xt>150.0<xt>100.0<xt>50.0<xt>0.0</s_Y_ticks><s_Y_label>COST IN MILLIONS</s_Y_label></s>
	<s><s_Y_ticks>33.6<xt>33.4<xt>33.2<xt>33.0<xt>32.8</s_Y_ticks><s_Y_label>Price (USD)</s_Y_label></s>
	<s><s_Y_ticks>9000<xt>8000<xt>7000<xt>6000<xt>5000<xt>4000<xt>3000<xt>2000<xt>1000<xt>0</s_Y_ticks><s_Y_label>GDP PER CAPITA PPP (CONSTANT 2017 INTERNATIONAL $)</s_Y_label></s>
	<s><s_Y_ticks>0<xt>200<xt>400<xt>600<xt>800<xt>1,000<xt>1,200<xt>1,400</s_Y_ticks><s_Y_label>number of deaths</s_Y_label></s>
	<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>No. of days</s_Y_label></s>
	<s><s_Y_ticks>34<xt>33<xt>32<xt>31<xt>30<xt>29<xt>28</s_Y_ticks><s_Y_label>Stock Price (USD)</s_Y_label></s>
	<s><s_Y_ticks>8000000<xt>7000000<xt>6000000<xt>5000000<xt>4000000<xt>3000000<xt>2000000<xt>1000000<xt>0</s_Y_ticks><s_Y_label>Population</s_Y_label></s>
	<s><s_Y_ticks>107<xt>106<xt>105<xt>104<xt>103<xt>102<xt>101<xt>100<xt>99<xt>98</s_Y_ticks><s_Y_label>SEX RATIO</s_Y_label></s>
	<s><s_Y_ticks>100<xt>90<xt>80<xt>70<xt>60<xt>50<xt>40<xt>30<xt>20<xt>10<xt>0</s_Y_ticks><s_Y_label>VALUE OF AIR QUALITY</s_Y_label></s>
	<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>
	<s><s_Y_ticks>10000000<xt>9000000<xt>8000000<xt>7000000<xt>6000000<xt>5000000<xt>4000000<xt>3000000<xt>2000000<xt>1000000<xt>0</s_Y_ticks><s_Y_label>Population</s_Y_label></s>
	<s><s_Y_ticks>100000<xt>90000<xt>80000<xt>70000<xt>60000<xt>50000<xt>40000<xt>30000<xt>20000<xt>10000<xt>0</s_Y_ticks><s_Y_label>Value of air quality</s_Y_label></s>
	<s><s_Y_ticks>11<xt>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>
	<s><s_Y_ticks>6000<xt>5000<xt>4000<xt>3000<xt>2000<xt>1000<xt>0</s_Y_ticks><s_Y_label>Export</s_Y_label></s>
	<s><s_Y_ticks>11.1<xt>11.0<xt>10.9<xt>10.8<xt>10.7<xt>10.6<xt>10.5<xt>10.4<xt>10.3</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>
	<s><s_Y_ticks>600<xt>500<xt>400<xt>300<xt>200<xt>100<xt>0</s_Y_ticks><s_Y_label>Cost in Millions</s_Y_label></s>
	<s><s_Y_ticks>100<xt>90<xt>80<xt>70<xt>60<xt>50<xt>40<xt>30<xt>20<xt>10<xt>0</s_Y_ticks><s_Y_label>Value of air quality</s_Y_label></s>
	<s><s_Y_ticks>45<xt>40<xt>35<xt>30<xt>25<xt>20<xt>15<xt>10<xt>5<xt>0</s_Y_ticks><s_Y_label>suicide rate percentage</s_Y_label></s>
	<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>SEX RATIO</s_Y_label></s>
	<s><s_Y_ticks>12000000<xt>10000000<xt>8000000<xt>6000000<xt>4000000<xt>2000000<xt>0</s_Y_ticks><s_Y_label>POPULATION COUNT</s_Y_label></s>
	<s><s_Y_ticks>1.0<xt>0.5<xt>0</s_Y_ticks><s_Y_label>Mixing index</s_Y_label></s>

<s><s_Y_ticks>12000000<xt>10000000<xt>8000000<xt>6000000<xt>4000000<xt>2000000<xt>0</s_Y_ticks><s_Y_label>Population</s_Y_label></s>

<s><s_Y_ticks>70000<xt>60000<xt>50000<xt>40000<xt>30000<xt>20000<xt>10000<xt>0</s_Y_ticks><s_Y_label>POPULATION</s_Y_label></s>

<s><s_Y_ticks>0.0<xt>50.0<xt>100.0<xt>150.0<xt>200.0<xt>250.0</s_Y_ticks><s_Y_label>Agricultural index</s_Y_label></s>

<s><s_Y_ticks>15.2<xt>15.1<xt>15.0<xt>14.9<xt>14.8<xt>14.7</s_Y_ticks><s_Y_label>Stock Price (USD)</s_Y_label></s>

<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>Frequency</s_Y_label></s>

<s><s_Y_ticks>250000000<xt>200000000<xt>150000000<xt>100000000<xt>50000000<xt>0</s_Y_ticks><s_Y_label>Urban population</s_Y_label></s>

<s><s_Y_ticks>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>PERCENTAGE</s_Y_label></s>

<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>Happiness Index</s_Y_label></s>

<s><s_Y_ticks>40<xt>38<xt>36<xt>34<xt>32<xt>30<xt>28<xt>26<xt>24<xt>22<xt>20<xt>18<xt>16<xt>14<xt>12<xt>10<xt>8<xt>6<xt>4<xt>2</s_Y_ticks><s_Y_label>Temperature degree celsius</s_Y_label></s>

<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>infants(in lacs)</s_Y_label></s>

<s><s_Y_ticks>14000000<xt>12000000<xt>10000000<xt>8000000<xt>6000000<xt>4000000<xt>2000000<xt>0</s_Y_ticks><s_Y_label>URBAN POPULATION</s_Y_label></s>

<s><s_Y_ticks>8<xt>6<xt>4<xt>2<xt>0</s_Y_ticks><s_Y_label>Number of workers x 1000</s_Y_label></s>

<s><s_Y_ticks>400<xt>300<xt>200<xt>100</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>

<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Percentage Of Rural Population</s_Y_label></s>

<s><s_Y_ticks>22.75<xt>22.50<xt>22.25<xt>22.00<xt>21.75<xt>21.50<xt>21.25<xt>21.00</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>

<s><s_Y_ticks>0<xt>50<xt>100<xt>150<xt>200<xt>250</s_Y_ticks><s_Y_label>SEX RATIO</s_Y_label></s>

<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex ratio</s_Y_label></s>

<s><s_Y_ticks>0<xt>5<xt>10<xt>15<xt>20<xt>25<xt>30<xt>35<xt>40</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>

<s><s_Y_ticks>90<xt>80<xt>70<xt>60<xt>50<xt>40<xt>30<xt>20<xt>10<xt>0</s_Y_ticks><s_Y_label>Percentage Of Rural Population</s_Y_label></s>

<s><s_Y_ticks>18<xt>16<xt>14<xt>12<xt>10<xt>8<xt>6<xt>4<xt>2<xt>0</s_Y_ticks><s_Y_label>VALUE OF AIR QUALITY</s_Y_label></s>

<s><s_Y_ticks>80.00<xt>70.00<xt>60.00<xt>50.00<xt>40.00<xt>30.00<xt>20.00<xt>10.00<xt>0.00</s_Y_ticks><s_Y_label>Share of cereals allocated to animal feed (FAO, 2020)</s_Y_label></s>

<s><s_Y_ticks>10000000<xt>9000000<xt>8000000<xt>7000000<xt>6000000<xt>5000000<xt>4000000<xt>3000000<xt>2000000<xt>1000000<xt>0</s_Y_ticks><s_Y_label>Population</s_Y_label></s>

<s><s_Y_ticks>60<xt>50<xt>40<xt>30<xt>20<xt>10<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>

<s><s_Y_ticks>150,000<xt>120,000<xt>90,000<xt>60,000<xt>30,000</s_Y_ticks><s_Y_label>Budget (million Yen)</s_Y_label></s>

<s><s_Y_ticks>800<xt>700<xt>600<xt>500<xt>400<xt>300<xt>200<xt>100<xt>0</s_Y_ticks><s_Y_label>COST IN MILLIONS</s_Y_label></s>

<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>

<s><s_Y_ticks>113<xt>112<xt>111<xt>110<xt>109<xt>108<xt>107<xt>106</s_Y_ticks><s_Y_label>Male sex ratio</s_Y_label></s>

<s><s_Y_ticks>26<xt>24<xt>22<xt>20<xt>18<xt>16<xt>14<xt>12<xt>10<xt>8<xt>6<xt>4<xt>2<xt>0</s_Y_ticks><s_Y_label>No. of motorcycle owners</s_Y_label></s>

<s><s_Y_ticks>1000<xt>900<xt>800<xt>700<xt>600<xt>500<xt>400<xt>300<xt>200<xt>100<xt>0</s_Y_ticks><s_Y_label>DALY Disability-Adjusted Life Years</s_Y_label></s>

<s><s_Y_ticks>140000000<xt>120000000<xt>100000000<xt>80000000<xt>60000000<xt>40000000<xt>20000000<xt>0</s_Y_ticks><s_Y_label>Population</s_Y_label></s>

<s><s_Y_ticks>900<xt>800<xt>700<xt>600<xt>500<xt>400<xt>300<xt>200<xt>100<xt>0</s_Y_ticks><s_Y_label>Population Density</s_Y_label></s>

<s><s_Y_ticks>3380000<xt>3400000<xt>3420000<xt>3440000<xt>3460000<xt>3480000<xt>3500000<xt>3520000<xt>3540000<xt>3560000<xt>3580000</s_Y_ticks><s_Y_label>URBAN POPULATION</s_Y_label></s>

<s><s_Y_ticks>112<xt>110<xt>108<xt>106<xt>104<xt>102<xt>100<xt>98<xt>96</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>

<s><s_Y_ticks>900<xt>800<xt>700<xt>600<xt>500<xt>400<xt>300<xt>200<xt>100<xt>0</s_Y_ticks><s_Y_label>No. of Deaths by Malaria</s_Y_label></s>

<s><s_Y_ticks>21.325<xt>21.300<xt>21.275<xt>21.250<xt>21.225<xt>21.200<xt>21.175</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>

<s><s_Y_ticks>70000000<xt>60000000<xt>50000000<xt>40000000<xt>30000000<xt>20000000<xt>10000000<xt>0</s_Y_ticks><s_Y_label>URBAN POPULATION</s_Y_label></s>

<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Percentage Of Rural Population</s_Y_label></s>

<s><s_Y_ticks>35<xt>30<xt>25<xt>20<xt>15<xt>10<xt>5<xt>0</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>

<s><s_Y_ticks>500.0<xt>450.0<xt>400.0<xt>350.0<xt>300.0<xt>250.0<xt>200.0<xt>150.0<xt>100.0<xt>50.0<xt>0.0</s_Y_ticks><s_Y_label>DALY DISABILITY-ADJUSTED LIFE YEARS</s_Y_label></s>

<s><s_Y_ticks>100<xt>90<xt>80<xt>70<xt>60<xt>50<xt>40<xt>30<xt>20<xt>10<xt>0</s_Y_ticks><s_Y_label>VALUE OF AIR QUALITY</s_Y_label></s>

<s><s_Y_ticks>24.3<xt>24.2<xt>24.1<xt>24.0<xt>23.9<xt>23.8<xt>23.7<xt>23.6</s_Y_ticks><s_Y_label>Price (USD)</s_Y_label></s>

<s><s_Y_ticks>7000000<xt>6000000<xt>5000000<xt>4000000<xt>3000000<xt>2000000<xt>1000000<xt>0</s_Y_ticks><s_Y_label>POPULATION</s_Y_label></s>

<s><s_Y_ticks>105.5<xt>105<xt>104.5<xt>104<xt>103.5<xt>103<xt>102.5<xt>102<xt>101.5<xt>101<xt>100.5<xt>100</s_Y_ticks><s_Y_label>Sex ratio</s_Y_label></s>

<s><s_Y_ticks>35.0<xt>30.0<xt>25.0<xt>20.0<xt>15.0<xt>10.0<xt>5.0<xt>0.0</s_Y_ticks><s_Y_label>Agriculture, forestry, and fishing, value added (% of GDP)</s_Y_label></s>

<s><s_Y_ticks>10,000<xt>9000<xt>8000<xt>7000<xt>6000<xt>5000</s_Y_ticks><s_Y_label>Yield (kg ha power -1)</s_Y_label></s>

<s><s_Y_ticks>3.3<xt>3.2<xt>3.1<xt>3.0<xt>2.9<xt>2.8<xt>2.7<xt>2.6</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>

<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>No.of Students (*1000)</s_Y_label></s>

<s><s_Y_ticks>120.0<xt>100.0<xt>80.0<xt>60.0<xt>40.0<xt>20.0<xt>0.0</s_Y_ticks><s_Y_label>Agricultural index</s_Y_label></s>

<s><s_Y_ticks>106<xt>104<xt>102<xt>100<xt>98<xt>96<xt>94<xt>92<xt>90<xt>88<xt>86</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>

<s><s_Y_ticks>600000<xt>500000<xt>400000<xt>300000<xt>200000<xt>100000<xt>0</s_Y_ticks><s_Y_label>POPULATION</s_Y_label></s>

<s><s_Y_ticks>120.0<xt>100.0<xt>80.0<xt>60.0<xt>40.0<xt>20.0<xt>0.0</s_Y_ticks><s_Y_label>Agricultural index</s_Y_label></s>

<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>No. of students (*100)</s_Y_label></s>

<s><s_Y_ticks>500,000<xt>450,000<xt>400,000<xt>350,000<xt>300,000<xt>250,000<xt>200,000<xt>150,000<xt>100,000<xt>50,000<xt>0</s_Y_ticks><s_Y_label>US$ million</s_Y_label></s>

<s><s_Y_ticks>1400<xt>1200<xt>1000<xt>800<xt>600<xt>400<xt>200<xt>0</s_Y_ticks><s_Y_label>TONNES</s_Y_label></s>

<s><s_Y_ticks>900.0<xt>800.0<xt>700.0<xt>600.0<xt>500.0<xt>400.0<xt>300.0<xt>200.0<xt>100.0<xt>0.0</s_Y_ticks><s_Y_label>COST IN MILLIONS</s_Y_label></s>

<s><s_Y_ticks>1200000<xt>1000000<xt>800000<xt>600000<xt>400000<xt>200000<xt>0</s_Y_ticks><s_Y_label>VALUE OF AIR QUALITY</s_Y_label></s>

<s><s_Y_ticks>30000.0<xt>25000.0<xt>20000.0<xt>15000.0<xt>10000.0<xt>5000.0<xt>0.0</s_Y_ticks><s_Y_label>GDP per capita, PPP (constant 2017 int. $)</s_Y_label></s>

<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>No. of costmers interested in the plot</s_Y_label></s>

<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>

<s><s_Y_ticks>180.0<xt>160.0<xt>140.0<xt>120.0<xt>100.0<xt>80.0<xt>60.0<xt>40.0<xt>20.0<xt>0.0</s_Y_ticks><s_Y_label>Labor index</s_Y_label></s>

<s><s_Y_ticks>250.0<xt>200.0<xt>150.0<xt>100.0<xt>50.0<xt>0.0</s_Y_ticks><s_Y_label>COST IN MILLIONS</s_Y_label></s>

<s><s_Y_ticks>70000<xt>60000<xt>50000<xt>40000<xt>30000<xt>20000<xt>10000<xt>0</s_Y_ticks><s_Y_label>TOTAL DEATHS</s_Y_label></s>

<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1</s_Y_ticks><s_Y_label>total population (in millions)</s_Y_label></s>

<s><s_Y_ticks>20<xt>15<xt>10<xt>5<xt>0</s_Y_ticks><s_Y_label>Network load (#Tx + Rx/epoch)</s_Y_label></s>

<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>

<s><s_Y_ticks>45<xt>40<xt>35<xt>30<xt>25<xt>20<xt>15<xt>10<xt>5<xt>0</s_Y_ticks><s_Y_label>Agriculture, forestry, and fishing, value added (% of GDP)</s_Y_label></s>

<s><s_Y_ticks>52.5<xt>52<xt>51.5<xt>51<xt>50.5<xt>50<xt>49.5<xt>49<xt>48.5<xt>48<xt>47.5</s_Y_ticks><s_Y_label>% OF FEMALE POPULATION</s_Y_label></s>

<s><s_Y_ticks>19.5<xt>19.0<xt>18.5<xt>18.0<xt>17.5<xt>17.0</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>

<s><s_Y_ticks>180<xt>160<xt>140<xt>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>NO. OF DEATHS BY MALARIA</s_Y_label></s>

<s><s_Y_ticks>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4<xt>3<xt>2<xt>1<xt>0</s_Y_ticks><s_Y_label>No. of costmers interested in the plot</s_Y_label></s>

<s><s_Y_ticks>18<xt>16<xt>14<xt>12<xt>10<xt>8<xt>6<xt>4<xt>2<xt>0</s_Y_ticks><s_Y_label>Frequency</s_Y_label></s>

<s><s_Y_ticks>90000<xt>80000<xt>70000<xt>60000<xt>50000<xt>40000<xt>30000<xt>20000<xt>10000<xt>0</s_Y_ticks><s_Y_label>Value of air quality</s_Y_label></s>

<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>

<s><s_Y_ticks>60.00<xt>50.00<xt>40.00<xt>30.00<xt>20.00<xt>10.00<xt>0</s_Y_ticks><s_Y_label>Consumer price index</s_Y_label></s>

<s><s_Y_ticks>10,000,000<xt>9,000,000<xt>8,000,000<xt>7,000,000<xt>6,000,000<xt>5,000,000<xt>4,000,000<xt>3,000,000<xt>2,000,000<xt>1,000,000<xt>0</s_Y_ticks><s_Y_label>VALUE OF AIR QUALITY</s_Y_label></s>

<s><s_Y_ticks>250.0<xt>200.0<xt>150.0<xt>100.0<xt>50.0<xt>0.0</s_Y_ticks><s_Y_label>COST IN MILLIONS</s_Y_label></s>

<s><s_Y_ticks>33.6<xt>33.4<xt>33.2<xt>33.0<xt>32.8</s_Y_ticks><s_Y_label>Price (USD)</s_Y_label></s>

<s><s_Y_ticks>9000<xt>8000<xt>7000<xt>6000<xt>5000<xt>4000<xt>3000<xt>2000<xt>1000<xt>0</s_Y_ticks><s_Y_label>GDP PER CAPITA PPP (CONSTANT 2017 INTERNATIONAL $)</s_Y_label></s>

<s><s_Y_ticks>0<xt>200<xt>400<xt>600<xt>800<xt>1,000<xt>1,200<xt>1,400</s_Y_ticks><s_Y_label>number of deaths</s_Y_label></s>

<s><s_Y_ticks>34<xt>33<xt>32<xt>31<xt>30<xt>29<xt>28</s_Y_ticks><s_Y_label>Stock Price (USD)</s_Y_label></s>

<s><s_Y_ticks>8000000<xt>7000000<xt>6000000<xt>5000000<xt>4000000<xt>3000000<xt>2000000<xt>1000000<xt>0</s_Y_ticks><s_Y_label>Population</s_Y_label></s>

<s><s_Y_ticks>107<xt>106<xt>105<xt>104<xt>103<xt>102<xt>101<xt>100<xt>99<xt>98</s_Y_ticks><s_Y_label>SEX RATIO</s_Y_label></s>

<s><s_Y_ticks>100<xt>90<xt>80<xt>70<xt>60<xt>50<xt>40<xt>30<xt>20<xt>10<xt>0</s_Y_ticks><s_Y_label>VALUE OF AIR QUALITY</s_Y_label></s>

<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>Sex Ratio</s_Y_label></s>

<s><s_Y_ticks>10000000<xt>9000000<xt>8000000<xt>7000000<xt>6000000<xt>5000000<xt>4000000<xt>3000000<xt>2000000<xt>1000000<xt>0</s_Y_ticks><s_Y_label>Population</s_Y_label></s>

<s><s_Y_ticks>100000<xt>90000<xt>80000<xt>70000<xt>60000<xt>50000<xt>40000<xt>30000<xt>20000<xt>10000<xt>0</s_Y_ticks><s_Y_label>Value of air quality</s_Y_label></s>

<s><s_Y_ticks>11<xt>10<xt>9<xt>8<xt>7<xt>6<xt>5<xt>4</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>

<s><s_Y_ticks>6000<xt>5000<xt>4000<xt>3000<xt>2000<xt>1000<xt>0</s_Y_ticks><s_Y_label>Export</s_Y_label></s>

<s><s_Y_ticks>11.1<xt>11.0<xt>10.9<xt>10.8<xt>10.7<xt>10.6<xt>10.5<xt>10.4<xt>10.3</s_Y_ticks><s_Y_label>Price of Stock (USD)</s_Y_label></s>

<s><s_Y_ticks>600<xt>500<xt>400<xt>300<xt>200<xt>100<xt>0</s_Y_ticks><s_Y_label>Cost in Millions</s_Y_label></s>

<s><s_Y_ticks>100<xt>90<xt>80<xt>70<xt>60<xt>50<xt>40<xt>30<xt>20<xt>10<xt>0</s_Y_ticks><s_Y_label>Value of air quality</s_Y_label></s>

<s><s_Y_ticks>45<xt>40<xt>35<xt>30<xt>25<xt>20<xt>15<xt>10<xt>5<xt>0</s_Y_ticks><s_Y_label>suicide rate percentage</s_Y_label></s>

<s><s_Y_ticks>120<xt>100<xt>80<xt>60<xt>40<xt>20<xt>0</s_Y_ticks><s_Y_label>SEX RATIO</s_Y_label></s>

<s><s_Y_ticks>12000000<xt>10000000<xt>8000000<xt>6000000<xt>4000000<xt>2000000<xt>0</s_Y_ticks><s_Y_label>POPULATION COUNT</s_Y_label></s>

<s><s_Y_ticks>1.0<xt>0.5<xt>0</s_Y_ticks><s_Y_label>Mixing index</s_Y_label></s>