<snapdata remixID="13366013"><project name="Ozer Graphing PT task Practice" app="Snap! 9.0, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Ozer Graphing PT task Practice"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="graph points %&apos;coordinate list&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="up"></block><block s="setColor"><color>145,0,173,1</color></block><block s="setSize"><l>3</l></block><block s="doForEach"><l>item</l><block var="coordinate list"/><script><block s="gotoXY"><block s="reportListItem"><l>1</l><block var="item"/></block><block s="reportListItem"><l>2</l><block var="item"/></block></block><block s="down"></block></script></block></script></block-definition><block-definition s="coordinate list maker %&apos;eqnform&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>coordinates</l><l>slope</l><l>y-int</l></list></block><block s="doSetVar"><l>coordinates</l><block s="reportNewList"><list></list></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="eqnform"/><l>x</l></list></block><script><block s="doAsk"><l>what x set equal to?</l></block><block s="doFor"><l>y</l><l>-100</l><l>100</l><script><block s="doAddToList"><block s="reportNewList"><list><block s="getLastAnswer"></block><block var="y"/></list></block><block var="coordinates"/></block></script></block></script><script><block s="doAsk"><l>What is the slope in your equation?</l></block><block s="doSetVar"><l>slope</l><block s="getLastAnswer"></block></block><block s="doAsk"><l>what is the y intercept?</l></block><block s="doSetVar"><l>y-int</l><block s="getLastAnswer"></block></block><block s="doFor"><l>x</l><l>-100</l><l>100</l><script><block s="doAddToList"><block s="reportNewList"><list><block var="x"/><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="slope"/><block var="x"/></list></block><block var="y-int"/></list></block></list></block><block var="coordinates"/></block></script></block></script></block><block s="doShowVar"><l>coordinates</l></block><block s="doWait"><l>3</l></block><block s="doHideVar"><l>coordinates</l></block><block s="doReport"><block var="coordinates"/></block></script></block-definition></blocks><stage name="Stage" width="480" height="360" costume="0" 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" id="113"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="114"></list></costumes><sounds><list struct="atomic" id="115"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="100" y="305" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="145,0,173,1" pen="tip" id="120"><costumes><list id="121"><item><ref mediaID="Sprite_cst_XY_Grid"></ref></item></list></costumes><sounds><list struct="atomic" id="122"></list></sounds><blocks></blocks><variables></variables><scripts><script x="208" y="69.33333333333334"><block s="receiveGo"></block><block s="clear"></block><block s="doSayFor"><l>Welcome to my graphing application</l><l>2</l></block><block s="doAsk"><l>Is your equation in the form of  "y " or x=" . Please type y or x. </l></block><custom-block s="graph points %l"><custom-block s="coordinate list maker %s"><block s="getLastAnswer"></block></custom-block></custom-block></script></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="Ozer Graphing PT task Practice" app="Snap! 9.0, https://snap.berkeley.edu" version="2"><costume name="XY_Grid" center-x="240" center-y="180" image="data:image/png;base64,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" mediaID="Sprite_cst_XY_Grid"/></media></snapdata>