<snapdata remixID="14857914"><project name="list analysis" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="list analysis"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="largestNumber" type="command" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doForEach"><l>item</l><block var="dataList"/><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="item"/><block var="highestValue"/></list></block><script><block s="doSetVar"><l>highestValue</l><block var="item"/></block></script><list></list></block></script></block></script></block-definition><block-definition s="averageNumber" type="command" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doForEach"><l>item</l><block var="dataList"/><script><block s="doSetVar"><l>sumList</l><block s="reportVariadicSum"><list><block var="sumList"/><block var="item"/></list></block></block></script></block><block s="doSetVar"><l>avgValue</l><block s="reportRound"><block s="reportQuotient"><block var="sumList"/><l>10</l></block></block></block></script></block-definition><block-definition s="numbersGreater" type="command" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doForEach"><l>item</l><block var="dataList"/><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="item"/><l>70</l></list></block><script><block s="doSetVar"><l>numGreater</l><block s="reportVariadicSum"><list><block var="numGreater"/><l>1</l></list></block></block></script><list></list></block></script></block></script></block-definition><block-definition s="resetValues" type="command" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>numGreater</l><l>0</l></block><block s="doSetVar"><l>sumList</l><l>0</l></block><block s="doSetVar"><l>avgValue</l><l>0</l></block><block s="doSetVar"><l>highestValue</l><l>0</l></block><block s="doSetVar"><l>dataList</l><block s="reportNewList"><list></list></block></block></script></block-definition></blocks><primitives></primitives><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="96"><pentrails>data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAQAElEQVR4AezVC27kNhAEUCP3P3SC/NZeez6SSDWb9YJg1zsjkV2vDdQfH/4jQIAAAQIEbhdQwLeTu5AAAQIECHx8ZBew3wACBAgQIFAkoICL4F1LgAABAtkCCjh3/5ITIECAQKGAAi7EdzUBAgQI5Aoo4NzdZyeXngABAsUCCrh4Aa4nQIAAgUwBBZy5d6mzBaQnQGABAQW8wBKMQIAAAQJ5Ago4b+cSE8gWkJ7AIgIKeJFFGIMAAQIEsgQUcNa+pSVAIFtA+oUEFPBCyzAKAQIECOQIKOCcXUtKgACBbIHF0ivgxRZiHAIECBDIEFDAGXuWkgABAgQWE7i5gBdLbxwCBAgQIFAkoICL4F1LgAABAtkCCvjG/buKAAECBAj8J6CA/5PwNwECBAgQuFFAAd+InX2V9AQIECDwWUABf9bwMwECBAgQuElAAd8E7ZpsAekJECDwu4AC/l3EvwkQIECAwA0CCvgGZFcQyBaQngCBnwQU8E8qPiNAgAABApMFFPBkYMcTIJAtID2BRwIK+JGMzwkQIECAwEQBBTwR19EECBDIFpD+mYACfqbjOwIECBAgMElAAU+CdSwBAgQIZAu8Sq+AXwn5ngABAgQITBBQwBNQHUmAAAECBF4J7F3Ar9L7ngABAgQIFAko4CJ41xIgQIBAtoAC3nf/khEgQIDAwgIKeOHlGI0AAQIE9hVQwPvuNjuZ9AQIEFhcQAEvviDjESBAgMCeAgp4z71KlS0gPQECDQQUcIMlGZEAAQIE9hNQwPvtVCIC2QLSE2gioICbLMqYBAgQILCXgALea5/SECCQLSB9IwEF3GhZRiVAgACBfQQU8D67lIQAAQLZAs3SK+BmCzMuAQIECOwhoID32KMUBAgQINBMYHABN0tvXAIECBAgUCSggIvgXUuAAAEC2QIKeOD+HUWAAAECBN4VUMDvSnmOAAECBAgMFFDAAzGzj5KeAAECBI4IKOAjWp4lQIAAAQKDBBTwIEjHZAtIT4AAgaMCCviomOcJECBAgMAAAQU8ANERBLIFpCdA4IyAAj6j5h0CBAgQIHBRQAFfBPQ6AQLZAtITOCuggM/KeY8AAQIECFwQUMAX8LxKgACBbAHprwgo4Ct63iVAgAABAicFFPBJOK8RIECAQLbA1fQK+Kqg9wkQIECAwAkBBXwCzSsECBAgQOCqQO8Cvpre+wQIECBAoEhAARfBu5YAAQIEsgUUcN/9m5wAAQIEGgso4MbLMzoBAgQI9BVQwH13lz259AQIEGguoICbL9D4BAgQINBTQAH33JupswWkJ0BgAwEFvMESRSBAgACBfgIKuN/OTEwgW0B6ApsIKOBNFikGAQIECPQSUMC99mVaAgSyBaTfSEABb7RMUQgQIECgj4AC7rMrkxIgQCBbYLP0CnizhYpDgAABAj0EFHCPPZmSAAECBDYTOFjAm6UXhwABAgQIFAko4CJ41xIgQIBAtoACPrB/jxIgQIAAgVECCniUpHMIECBAgMABAQV8ACv7UekJECBAYKSAAh6p6SwCBAgQIPCmgAJ+E8pj2QLSEyBAYLSAAh4t6jwCBAgQIPCGgAJ+A8kjBLIFpCdAYIaAAp6h6kwCBAgQIPBCQAG/API1AQLZAtITmCWggGfJOpcAAQIECDwRUMBPcHxFgACBbAHpZwoo4Jm6ziZAgAABAg8EFPADGB8TIECAQLbA7PQKeLaw8wkQIECAwA8CCvgHFB8RIECAAIHZAmsX8Oz0zidAgAABAkUCCrgI3rUECBAgkC2ggNfdv8kIECBAYGMBBbzxckUjQIAAgXUFFPC6u8meTHoCBAhsLqCAN1+weAQIECCwpoACXnMvpsoWkJ4AgQABBRywZBEJECBAYD0BBbzeTkxEIFtAegIhAgo4ZNFiEiBAgMBaAgp4rX2YhgCBbAHpgwQUcNCyRSVAgACBdQQU8Dq7MAkBAgSyBcLSK+CwhYtLgAABAmsIKOA19mAKAgQIEAgT+K2Aw9KLS4AAAQIEigQUcBG8awkQIEAgW0ABf9q/HwkQIECAwF0CCvguafcQIECAAIFPAgr4E0b2j9ITIECAwJ0CCvhObXcRIECAAIF/BRTwvxD+yhaQngABAncLKOC7xd1HgAABAgT+ElDAfyH4n0C2gPQECFQIKOAKdXcSIECAQLyAAo7/FQBAIFtAegJVAgq4St69BAgQIBAtoICj1y88AQLZAtJXCijgSn13EyBAgECsgAKOXb3gBAgQyBaoTq+AqzfgfgIECBCIFFDAkWsXmgABAgSqBWoLuDq9+wkQIECAQJGAAi6Cdy0BAgQIZAso4Lr9u5kAAQIEggUUcPDyRSdAgACBOgEFXGeffbP0BAgQCBdQwOG/AOITIECAQI2AAq5xd2u2gPQECBD4UMB+CQgQIECAQIGAAi5AdyWBaAHhCRD4W0AB/83gDwIECBAgcK+AAr7X220ECGQLSE/gfwEF/D+FHwgQIECAwH0CCvg+azcRIEAgW0D6LwIK+AuHfxAgQIAAgXsEFPA9zm4hQIAAgWyBb+kV8DcSHxAgQIAAgfkCCni+sRsIECBAgMA3gagC/pbeBwQIECBAoEhAARfBu5YAAQIEsgUUcMz+BSVAgACBlQQU8ErbMAsBAgQIxAgo4JhVZweVngABAqsJKODVNmIeAgQIEIgQUMARaxYyW0B6AgRWFFDAK27FTAQIECCwvYAC3n7FAhLIFpCewKoCCnjVzZiLAAECBLYWUMBbr1c4AgSyBaRfWUABr7wdsxEgQIDAtgIKeNvVCkaAAIFsgdXTK+DVN2Q+AgQIENhSQAFvuVahCBAgQGB1gbkFvHp68xEgQIAAgSIBBVwE71oCBAgQyBZQwPP272QCBAgQIPBQQAE/pPEFAQIECBCYJ6CA59lmnyw9AQIECDwVUMBPeXxJgAABAgTmCCjgOa5OzRaQngABAi8FFPBLIg8QIECAAIHxAgp4vKkTCWQLSE+AwFsCCvgtJg8RIECAAIGxAgp4rKfTCBDIFpCewNsCCvhtKg8SIECAAIFxAgp4nKWTCBAgkC0g/SEBBXyIy8MECBAgQGCMgAIe4+gUAgQIEMgWOJxeAR8m8wIBAgQIELguoICvGzqBAAECBAgcFtiqgA+n9wIBAgQIECgSUMBF8K4lQIAAgWwBBbzN/gUhQIAAgU4CCrjTtsxKgAABAtsIKOBtVpkdRHoCBAh0E1DA3TZmXgIECBDYQkABb7FGIbIFpCdAoKOAAu64NTMTIECAQHsBBdx+hQIQyBaQnkBXAQXcdXPmJkCAAIHWAgq49foMT4BAtoD0nQUUcOftmZ0AAQIE2goo4LarMzgBAgSyBbqnV8DdN2h+AgQIEGgpoIBbrs3QBAgQINBd4FoBd09vfgIECBAgUCSggIvgXUuAAAEC2QIK+Pz+vUmAAAECBE4LKODTdF4kQIAAAQLnBRTwebvsN6UnQIAAgUsCCvgSn5cJECBAgMA5AQV8zs1b2QLSEyBA4LKAAr5M6AACBAgQIHBcQAEfN/MGgWwB6QkQGCKggIcwOoQAAQIECBwTUMDHvDxNgEC2gPQEhgko4GGUDiJAgAABAu8LKOD3rTxJgACBbAHphwoo4KGcDiNAgAABAu8JKOD3nDxFgAABAtkCw9Mr4OGkDiRAgAABAq8FFPBrI08QIECAAIHhAq0KeHh6BxIgQIAAgSIBBVwE71oCBAgQyBZQwG32b1ACBAgQ2ElAAe+0TVkIECBAoI2AAm6zquxBpSdAgMBuAgp4t43KQ4AAAQItBBRwizUZMltAegIEdhRQwDtuVSYCBAgQWF5AAS+/IgMSyBaQnsCuAgp4183KRYAAAQJLCyjgpddjOAIEsgWk31lAAe+8XdkIECBAYFkBBbzsagxGgACBbIHd0yvg3TcsHwECBAgsKaCAl1yLoQgQIEBgd4HnBbx7evkIECBAgECRgAIugnctAQIECGQLKODH+/cNAQIECBCYJqCAp9E6mAABAgQIPBZQwI9tsr+RngABAgSmCijgqbwOJ0CAAAECPwso4J9dfJotID0BAgSmCyjg6cQuIECAAAEC3wUU8HcTnxDIFpCeAIFbBBTwLcwuIUCAAAECXwUU8FcP/yJAIFtAegK3CSjg26hdRIAAAQIEfgko4F8WfiJAgEC2gPS3CijgW7ldRoAAAQIE/hFQwP84+JMAAQIEsgVuT6+Abyd3IQECBAgQ+PhQwH4LCBAgQIBAgcBSBVyQ35UECBAgQKBEQAGXsLuUAAECBNIFFPAyvwEGIUCAAIEkAQWctG1ZCRAgQGAZAQW8zCqyB5GeAAECaQIKOG3j8hIgQIDAEgIKeIk1GCJbQHoCBBIFFHDi1mUmQIAAgXIBBVy+AgMQyBaQnkCqgAJO3bzcBAgQIFAqoIBL+V1OgEC2gPTJAgo4efuyEyBAgECZgAIuo3cxAQIEsgXS0yvg9N8A+QkQIECgREABl7C7lAABAgSyBT4+FHD6b4D8BAgQIFAioIBL2F1KgAABAukCyQWcvnv5CRAgQKBQQAEX4ruaAAECBHIFFHDq7uUmQIAAgVIBBVzK73ICBAgQSBVQwKmbz84tPQECBMoFFHD5CgxAgAABAokCCjhx6zJnC0hPgMASAgp4iTUYggABAgTSBBRw2sblJZAtID2BZQQU8DKrMAgBAgQIJAko4KRty0qAQLaA9EsJKOCl1mEYAgQIEEgRUMApm5aTAAEC2QLLpVfAy63EQAQIECCQIKCAE7YsIwECBAgsJ3BrAS+X3kAECBAgQKBIQAEXwbuWAAECBLIFFPBt+3cRAQIECBD4JaCAf1n4iQABAgQI3CaggG+jzr5IegIECBD4KqCAv3r4FwECBAgQuEVAAd/C7JJsAekJECDwXUABfzfxCQECBAgQmC6ggKcTu4BAtoD0BAj8LKCAf3bxKQECBAgQmCqggKfyOpwAgWwB6Qk8FlDAj218Q4AAAQIEpgko4Gm0DiZAgEC2gPTPBRTwcx/fEiBAgACBKQIKeAqrQwkQIEAgW+B1egX82sgTBAgQIEBguIACHk7qQAIECBAg8Fpg5wJ+nd4TBAgQIECgSEABF8G7lgABAgSyBRTwrvuXiwABAgSWFlDAS6/HcAQIECCwq4AC3nWz2bmkJ0CAwPICCnj5FRmQAAECBHYUUMA7blWmbAHpCRBoIaCAW6zJkAQIECCwm4AC3m2j8hDIFpCeQBsBBdxmVQYlQIAAgZ0EFPBO25SFAIFsAelbCSjgVusyLAECBAjsIqCAd9mkHAQIEMgWaJdeAbdbmYEJECBAYAcBBbzDFmUgQIAAgXYCQwu4XXoDEyBAgACBIgEFXATvWgIECBDIFlDAw/bvIAIECBAg8L6AAn7fypMECBAgQGCYgAIeRpl9kPQECBAgcExAAR/z8jQBAgQIEBgioICHMDokW0B6AgQIHBdQwMfNvEGAAAECBC4LKODLhA4gkC0gPQECv+uE6gAAAkNJREFU5wQU8Dk3bxEgQIAAgUsCCvgSn5cJEMgWkJ7AeQEFfN7OmwQIECBA4LSAAj5N50UCBAhkC0h/TUABX/PzNgECBAgQOCWggE+xeYkAAQIEsgWup1fA1w2dQIAAAQIEDgso4MNkXiBAgAABAtcFOhfw9fROIECAAAECRQIKuAjetQQIECCQLaCAu+7f3AQIECDQWkABt16f4QkQIECgq4AC7rq57LmlJ0CAQHsBBdx+hQIQIECAQEcBBdxxa2bOFpCeAIEtBBTwFmsUggABAgS6CSjgbhszL4FsAekJbCOggLdZpSAECBAg0ElAAXfallkJEMgWkH4rAQW81TqFIUCAAIEuAgq4y6bMSYAAgWyB7dIr4O1WKhABAgQIdBBQwB22ZEYCBAgQ2E7gUAFvl14gAgQIECBQJKCAi+BdS4AAAQLZAgr47f17kAABAgQIjBNQwOMsnUSAAAECBN4WUMBvU2U/KD0BAgQIjBVQwGM9nUaAAAECBN4SUMBvMXkoW0B6AgQIjBdQwONNnUiAAAECBF4KKOCXRB4gkC0gPQECcwQU8BxXpxIgQIAAgacCCvgpjy8JEMgWkJ7APAEFPM/WyQQIECBA4KGAAn5I4wsCBAhkC0g/V0ABz/V1OgECBAgQ+FFAAf/I4kMCBAgQyBaYn14Bzzd2AwECBAgQ+CaggL+R+IAAAQIECMwXWLmA56d3AwECBAgQKBJQwEXwriVAgACBbAEFvOr+zUWAAAECWwso4K3XKxwBAgQIrCrwJwAAAP//lVwoVAAAAAZJREFUAwDU5ALRcl29HAAAAABJRU5ErkJggg==</pentrails><costumes><list struct="atomic" id="97"></list></costumes><sounds><list struct="atomic" id="98"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="0" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="103"><costumes><list struct="atomic" id="104"></list></costumes><sounds><list struct="atomic" id="105"></list></sounds><blocks></blocks><variables></variables><scripts><script x="151.19667968750002" y="105.16666666666674"><block s="receiveGo"></block><custom-block s="resetValues"></custom-block><block s="doRepeat"><l>10</l><script><block s="doAddToList"><block s="reportRandom"><l>50</l><l>100</l></block><block var="dataList"/></block></script></block><custom-block s="largestNumber"></custom-block><custom-block s="averageNumber"></custom-block><custom-block s="numbersGreater"></custom-block><block s="doSayFor"><block s="reportJoinWords"><list><l>The largest number of the list is: </l><block var="highestValue"/></list></block><l>2</l></block><block s="doSayFor"><block s="reportJoinWords"><list><l>The amount of numbers greater than 70 is: </l><block var="numGreater"/></list></block><l>2</l></block><block s="doSayFor"><block s="reportJoinWords"><list><l>The average value of the list is: </l><block var="avgValue"/></list></block><l>2</l></block></script></scripts></sprite><watcher var="sumList" style="normal" x="10" y="145.00000599999998" color="243,118,29" hidden="true"/><watcher var="highestValue" style="normal" x="58" y="297.000002" color="243,118,29"/><watcher var="numGreater" style="normal" x="16" y="179.00000799999998" color="243,118,29"/><watcher var="dataList" style="normal" x="362" y="10" color="243,118,29" extX="80" extY="70"/><watcher var="avgValue" style="normal" x="146" y="88.00000399999999" color="243,118,29"/></sprites></stage><variables><variable name="dataList"><list struct="atomic" id="154">94,72,79,51,96,89,63,66,99,68</list></variable><variable name="highestValue"><l>99</l></variable><variable name="avgValue"><l>78</l></variable><variable name="sumList"><l>777</l></variable><variable name="numGreater"><l>6</l></variable></variables></scene></scenes></project><media name="list analysis" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"></media></snapdata>