<snapdata remixID="13516532"><project name="Lab: Data Science (starter)" app="Snap! 10.7.1, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Lab: Data Science (starter)"><notes></notes><palette><category name="Required Functions" color="0,23,133,1"/><category name="Helper Functions" color="10,112,0,1"/></palette><hidden></hidden><headers></headers><code></code><blocks><block-definition s="add new col to data: %&apos;data&apos; titled: %&apos;title&apos;" type="reporter" category="Helper Functions"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doForEach"><l>item</l><block var="data"/><script><block s="doAddToList"><l></l><block var="item"/></block></script></block><block s="doReplaceInList"><l><option>last</option></l><block s="reportListItem"><l>1</l><block var="data"/></block><block var="title"/></block><block s="doReport"><block var="data"/></block></script></block-definition><block-definition s="delete column: %&apos;col&apos; in data: %&apos;data&apos;" type="reporter" category="Helper Functions"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doForEach"><l>item</l><block var="data"/><script><block s="doDeleteFromList"><block var="col"/><block var="item"/></block></script></block><block s="doReport"><block var="data"/></block></script></block-definition><block-definition s="delete row: %&apos;row&apos; in data: %&apos;data&apos;" type="reporter" category="Helper Functions"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doDeleteFromList"><block var="row"/><block var="data"/></block><block s="doReport"><block var="data"/></block></script></block-definition><block-definition s="set row: %&apos;row&apos; , col: %&apos;col&apos; of data: %&apos;data&apos; to value: %&apos;value&apos;" type="reporter" category="Helper 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Emissions,Population,Average Air Quality Index</list></item><item><list struct="atomic" id="463">WORLD,None,None,&quot;23,380&quot;,&quot;37,150,000,000&quot;,&quot;7,951,000,000&quot;,None</list></item></list></variable><variable name="Country Data"><list id="464"><item><list struct="atomic" id="465">Continent,Country,Abbreviation,Average Income (USD),Annual CO2 Emissions,Population,Average Air Quality Index</list></item><item><list struct="atomic" id="466">North America,United States,USA,&quot;37,585&quot;,&quot;5,060,000,000&quot;,&quot;333,300,000&quot;,36.9</list></item><item><list struct="atomic" id="467">North America,Mexico,MEX,&quot;1,695&quot;,&quot;511,970,000&quot;,&quot;127,500,00&quot;,58</list></item><item><list struct="atomic" id="468">Europe,France,FRA,&quot;45,581&quot;,&quot;297,530,000&quot;,&quot;67,970,000&quot;,25</list></item><item><list struct="atomic" id="469">Asia,China,CHN,&quot;4,214&quot;,&quot;11,400,000,000&quot;,&quot;1,412,000,000&quot;,42.1</list></item><item><list struct="atomic" id="470">Asia,India,IND,387,&quot;2,830,000,000&quot;,&quot;1,417,000,000&quot;,83.2</list></item><item><list struct="atomic" id="471">Asia,Saudi Arabia,SAU,&quot;2,666&quot;,&quot;662,550,000&quot;,&quot;36,410,000&quot;,88</list></item><item><list struct="atomic" id="472">Europe / Asia,Russia,RUS,&quot;14,771&quot;,&quot;1,650,000,000&quot;,&quot;144,200,00&quot;,41</list></item><item><list struct="atomic" id="473">Africa,Nigeria,NGA,&quot;2,160&quot;,&quot;128,760,00&quot;,&quot;218,500,00&quot;,61</list></item><item><list struct="atomic" id="474">South America,Venezuela,VEN,145.30,&quot;76,890,000&quot;,&quot;28,300,000&quot;,53</list></item><item><list struct="atomic" id="475">Central America,Panama,PAN,&quot;25,509&quot;,&quot;11,900,000&quot;,&quot;4,409,000&quot;,15</list></item></list></variable></variables></scene></scenes></project><media name="Lab: Data Science (starter)" app="Snap! 10.7.1, https://snap.berkeley.edu" version="2"></media></snapdata>