<snapdata remixID="10105382"><project name="U3AssessmentV20B-AidenL" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes>U3 Test Aiden Lee&#xD;I used the keep block and map block in order to find the total value of each gender. With the total number of people for each gender, I used a "for each item in list" block to find the percentages for each score of each gender. With this I made a block to to draw the pie chart. I used a custom block within the pie chart custom block which drew the individual slices. Using the percentages I had gotten, I drew each slice to the according radius and percentage.</notes><thumbnail>data:image/png;base64,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</thumbnail><stage name="Stage" width="480" height="360" costume="1" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" scheduled="false" 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</pentrails><costumes><list id="2"><item><costume name="XY Grid" center-x="240" center-y="180" 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" id="3"/></item></list></costumes><sounds><list struct="atomic" id="4"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites><sprite name="Sprite" idx="1" x="-100.00000000000182" y="1.5916157281026244e-12" heading="0" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="0,167,244,1" pen="tip" id="9"><costumes><list struct="atomic" id="10"></list></costumes><sounds><list struct="atomic" id="11"></list></sounds><blocks></blocks><variables></variables><scripts><script x="16" y="390.7777777777776"><block s="receiveGo"></block><block s="doSetVar"><l>TotalFemale</l><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="Count %l"><l/></custom-block></autolambda><list></list></block><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportEquals"><custom-block s="Gender %l"><l/></custom-block><l>F</l></block></autolambda><list></list></block><block var="APCSPbyGenderCA"/></block></block><block s="reifyReporter"><autolambda><block s="reportSum"><l></l><l></l></block></autolambda><list></list></block></block></block><block s="doSetVar"><l>TotalMale</l><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="Count %l"><l/></custom-block></autolambda><list></list></block><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportEquals"><custom-block s="Gender %l"><l/></custom-block><l>M</l></block></autolambda><list></list></block><block var="APCSPbyGenderCA"/></block></block><block s="reifyReporter"><autolambda><block s="reportSum"><l></l><l></l></block></autolambda><list></list></block></block></block><block s="doSetVar"><l>Male percentages</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>item</l><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="Count %l"><l/></custom-block></autolambda><list></list></block><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportEquals"><custom-block s="Gender %l"><l/></custom-block><l>M</l></block></autolambda><list></list></block><block var="APCSPbyGenderCA"/></block></block><script><block s="doAddToList"><block s="reportRound"><block s="reportQuotient"><block s="reportProduct"><l>100</l><block var="item"/></block><block var="TotalMale"/></block></block><block var="Male percentages"/></block></script></block><block s="doSetVar"><l>Female percentages</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>item</l><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="Count %l"><l/></custom-block></autolambda><list></list></block><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportEquals"><custom-block s="Gender %l"><l/></custom-block><l>F</l></block></autolambda><list></list></block><block var="APCSPbyGenderCA"/></block></block><script><block s="doAddToList"><block s="reportRound"><block s="reportQuotient"><block s="reportProduct"><l>100</l><block var="item"/></block><block var="TotalFemale"/></block></block><block var="Female percentages"/></block></script></block><block s="clear"></block><custom-block s="Write %s at X: %s Y: %s size %s"><l>Female Scores</l><l>50</l><l>100</l><l>20</l></custom-block><custom-block s="Draw pie X: %s Y: %s R: %s Percentages: %l"><l>100</l><l>0</l><l>75</l><block var="Female percentages"/></custom-block><custom-block s="Write %s at X: %s Y: %s size %s"><l>Male Scores</l><l>-150</l><l>100</l><l>20</l></custom-block><custom-block s="Draw pie X: %s Y: %s R: %s Percentages: %l"><l>-100</l><l>0</l><l>75</l><block var="Male percentages"/></custom-block></script><script x="17" y="354.2777777777776"><custom-block s="Draw pie X: %s Y: %s R: %s Percentages: %l"><l></l><l></l><l></l><l/></custom-block></script><script x="17" y="310.2777777777776"><custom-block s="Draw Slice radius: %s percentage: %s"><l></l><l></l></custom-block></script><script x="20" y="264.33333333333303"><custom-block s="Gender %l"><l/></custom-block></script><script x="30" y="230.27777777777752"><custom-block s="Grade %l"><l/></custom-block></script><script x="36" y="196.27777777777752"><custom-block s="Count %l"><l/></custom-block></script><script x="37.9052734375" y="168.27777777777752"><custom-block s="Course %l"><l/></custom-block></script><script x="17.666666666666657" y="138.49999999999991"><custom-block s="APCS Course: %s Count: %s Score: %s Gender: %s"><l></l><l></l><l></l><l></l></custom-block></script><script x="14" y="10"><block s="up"></block><block s="gotoXY"><l>50</l><l>100</l></block><block s="setHeading"><l>90</l></block><block s="write"><l>Female Scores</l><l>20</l></block><block s="setHeading"><l>0</l></block></script></scripts></sprite><watcher var="TotalMale" style="normal" x="374.69986979166674" y="34.41157019272532" color="243,118,29" hidden="true"/><watcher var="TotalFemale" style="normal" x="365.05436197916674" y="96.19927060845882" color="243,118,29" hidden="true"/><watcher var="APCSPbyGenderCA" style="normal" x="8.993197278908156" y="6.993197278911538" color="243,118,29" hidden="true"/><watcher var="Male percentages" style="normal" x="10" y="10" color="243,118,29" hidden="true"/><watcher var="Female percentages" style="normal" x="11" y="112.000002" color="243,118,29" hidden="true"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="APCS Course: %&apos;n&apos; Count: %&apos;c&apos; Score: %&apos;s&apos; Gender: %&apos;g&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportNewList"><list><block var="n"/><block var="c"/><block var="s"/><block var="g"/></list></block></block></script></block-definition><block-definition s="Draw Circle X: %&apos;x&apos; Y: %&apos;y&apos; Radius: %&apos;r&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input></inputs></block-definition><block-definition s="Count %&apos;list&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>2</l><block var="list"/></block></block></script></block-definition><block-definition s="Grade %&apos;list&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>3</l><block var="list"/></block></block></script></block-definition><block-definition s="Gender %&apos;list&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>4</l><block var="list"/></block></block></script></block-definition><block-definition s="Course %&apos;list&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="list"/></block></block></script></block-definition><block-definition s="Draw Slice radius: %&apos;r&apos; percentage: %&apos;p&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="down"></block><block s="doRepeat"><block s="reportRound"><block s="reportProduct"><block var="p"/><l>3.6</l></block></block><script><block s="forward"><block var="r"/></block><block s="forward"><block s="reportProduct"><l>-1</l><block var="r"/></block></block><block s="turn"><l>1</l></block></script></block><block s="up"></block></script></block-definition><block-definition s="Draw pie X: %&apos;x&apos; Y: %&apos;y&apos; R: %&apos;r&apos; Percentages: %&apos;list&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%l"></input></inputs><script><block s="setColor"><color>0,167,244,1</color></block><block s="up"></block><block s="setSize"><l>2</l></block><block s="gotoXY"><block var="x"/><block var="y"/></block><block s="setHeading"><l>0</l></block><block s="doForEach"><l>item</l><block var="list"/><script><custom-block s="Draw Slice radius: %s percentage: %s"><block var="r"/><block var="item"/></custom-block><block s="changePenHSVA"><l><option>hue</option></l><l>20</l></block></script></block></script></block-definition><block-definition s="Write %&apos;sentences&apos; at X: %&apos;x&apos; Y: %&apos;y&apos; size %&apos;size&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%s"></input></inputs><script><block s="setColor"><color>240,0,42,1</color></block><block s="up"></block><block s="gotoXY"><block var="x"/><block var="y"/></block><block s="setHeading"><l>90</l></block><block s="write"><block var="sentences"/><block var="size"/></block><block s="setHeading"><l>0</l></block></script></block-definition></blocks><variables><variable name="TotalFemale"><l>3320</l></variable><variable name="APCSPbyGenderCA"><list id="340"><item><list struct="atomic" id="341">AP CSP,1637,5,M</list></item><item><list struct="atomic" id="342">AP CSP,1002,5,F</list></item><item><list struct="atomic" id="343">AP CSP,2414,4,M</list></item><item><list struct="atomic" id="344">AP CSP,692,4,F</list></item><item><list struct="atomic" id="345">AP CSP,4133,3,M</list></item><item><list struct="atomic" id="346">AP CSP,650,3,F</list></item><item><list struct="atomic" id="347">AP CSP,1861,2,M</list></item><item><list struct="atomic" id="348">AP CSP,369,2,F</list></item><item><list struct="atomic" id="349">AP CSP,906,1,M</list></item><item><list struct="atomic" id="350">AP CSP,607,1,F</list></item></list></variable><variable name="TotalMale"><l>10951</l></variable><variable name="Male percentages"><list struct="atomic" id="351">15,22,38,17,8</list></variable><variable name="Female percentages"><list struct="atomic" id="352">30,21,20,11,18</list></variable></variables></project><media name="U3AssessmentV20B-AidenL" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>