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      <image:title>About</image:title>
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    <loc>https://www.aditicherian.com/contact</loc>
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      <image:caption>acherian@ucdavis.edu LinkedIn</image:caption>
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    <loc>https://www.aditicherian.com/pastprojects/cheriantop</loc>
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    <lastmod>2020-09-11</lastmod>
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      <image:caption>H&amp;M</image:caption>
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      <image:title>Projects - CherianTop</image:title>
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      <image:title>Projects - CherianTop</image:title>
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    <image:image>
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      <image:title>Projects - CherianTop</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1599803428504-1GJGASYWZGYF304E2VPS/Screen%2BShot%2B2020-09-10%2Bat%2B9.15.08%2BPM.jpg</image:loc>
      <image:title>Projects - CherianTop</image:title>
      <image:caption>Target</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1597817642407-WR14UG52LS695XGWYDME/Screen+Shot+2020-08-18+at+11.11.10+PM.png</image:loc>
      <image:title>Projects - CherianTop</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1599802180868-0ZBXABDE6W1TCXVBS7BB/IMG_9099.PNG</image:loc>
      <image:title>Projects - CherianTop</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1599803347246-JJOB66RFOPAICW52OC2Y/Screen%2BShot%2B2020-09-10%2Bat%2B9.13.57%2BPM.jpg</image:loc>
      <image:title>Projects - CherianTop</image:title>
      <image:caption>Forever21</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1597817636987-E37ME210KGLSQY8MUBG1/Screen+Shot+2020-08-18+at+11.13.01+PM.png</image:loc>
      <image:title>Projects - CherianTop</image:title>
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    <image:image>
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      <image:title>Projects - CherianTop</image:title>
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      <image:title>Projects - CherianTop</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1599811333640-VNBEJF2YIS4NP4M2DJGL/IMG_9104+2.PNG</image:loc>
      <image:title>Projects - CherianTop</image:title>
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      <image:title>Projects - CherianTop</image:title>
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      <image:title>Projects - CherianTop</image:title>
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      <image:title>Projects - CherianTop</image:title>
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      <image:title>Projects - CherianTop</image:title>
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      <image:title>Projects - CherianTop</image:title>
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      <image:title>Projects - CherianTop</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1599811467981-93X7P1ZAIGX1HTNUMKZK/yuh3.jpg</image:loc>
      <image:title>Projects - CherianTop</image:title>
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  <url>
    <loc>https://www.aditicherian.com/pastprojects/fitmisfit</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2019-10-16</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569109636627-7BWBSN714BHM7CAIRB41/IMG_1847_Facetune_21-09-2019-16-26-22.jpg</image:loc>
      <image:title>Projects - Product Development -   Fit Misfit</image:title>
      <image:caption>Step 3: Affinity diagram of all the post-its</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569195718228-CBYO02UPY4TQJRP6K93H/Screen+Shot+2019-09-22+at+4.38.58+PM.png</image:loc>
      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569403028717-Z8IRNJSAML1NZL7S9GPE/Screen+Shot+2019-09-25+at+2.16.26+AM.png</image:loc>
      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
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      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569196186486-PCWL0BDMBJ6ZPGDMOKMN/Screen+Shot+2019-09-22+at+4.48.39+PM.png</image:loc>
      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569195902844-D5WOH5TCXZLZNQZWOANF/Screen+Shot+2019-09-22+at+4.40.07+PM.png</image:loc>
      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569109621985-MOT63JW3LXG20EGT4700/IMG_1826.jpg</image:loc>
      <image:title>Projects - Product Development -   Fit Misfit</image:title>
      <image:caption>Step 2: Grouped the post its into 7 main themes</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569195932268-48HM3DHKUCLIQSIRX7QA/Screen+Shot+2019-09-22+at+4.40.25+PM.png</image:loc>
      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568868405314-MOFKXEHTDQJ1K4YJUGXC/image-asset.png</image:loc>
      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569109573225-BR9OHEHK2Q33OLCSUIMD/IMG_1818.jpg</image:loc>
      <image:title>Projects - Product Development -   Fit Misfit</image:title>
      <image:caption>Step 1: Laid out all the post-its</image:caption>
    </image:image>
    <image:image>
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      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
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      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
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      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
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      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
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      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
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      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
    <image:image>
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      <image:title>Projects - Product Development -   Fit Misfit</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.aditicherian.com/pastprojects/hivemind-4a8jj</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2022-09-28</lastmod>
    <image:image>
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      <image:title>Projects - Product Development - HiveMind</image:title>
      <image:caption>Login/Signup Page</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569199363424-382J0YB3H95M9ZFDVXXZ/Screen+Shot+2019-09-20+at+12.12.04+AM.png</image:loc>
      <image:title>Projects - Product Development - HiveMind</image:title>
      <image:caption>HiveMind Analytics</image:caption>
    </image:image>
    <image:image>
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      <image:title>Projects - Product Development - HiveMind</image:title>
      <image:caption>These wireframes were more detailed than the previous image, and were my first time doing any kind of pen and paper wire-framing.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569199101396-5NFDYLEERFWTECXZQZ61/Screen+Shot+2019-09-20+at+12.10.37+AM.png</image:loc>
      <image:title>Projects - Product Development - HiveMind</image:title>
      <image:caption>Community Feed</image:caption>
    </image:image>
    <image:image>
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      <image:title>Projects - Product Development - HiveMind</image:title>
      <image:caption>Explore Page</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569199375420-NDP7ZRTPAZ9VLV4IQNHD/Screen+Shot+2019-09-20+at+12.12.22+AM.png</image:loc>
      <image:title>Projects - Product Development - HiveMind</image:title>
      <image:caption>Upload Page</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569199115327-XYYBC5WRYHXICP0ZUZWJ/image-asset.png</image:loc>
      <image:title>Projects - Product Development - HiveMind</image:title>
      <image:caption>User Profile</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1569209984612-2YPA8LYZE7ENL9RHA3IJ/IMG_1946+2.jpg</image:loc>
      <image:title>Projects - Product Development - HiveMind</image:title>
      <image:caption>I created quick sketches for how I wanted the structure of the application to look like, along with specific features within each tab/section</image:caption>
    </image:image>
    <image:image>
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      <image:title>Projects - Product Development - HiveMind</image:title>
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  </url>
  <url>
    <loc>https://www.aditicherian.com/pastprojects/labor-market-analysis-1</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2019-10-16</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568266871539-LKV5O89O6WUDVXDE2XDX/Screen+Shot+2019-09-11+at+3.51.25+PM.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 1</image:title>
      <image:caption>The raw .csv file from web scraping the Workana website</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568266912687-7ZRICJDGP9IRR15BUMN2/image-asset.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 1</image:title>
      <image:caption>Filtered dataframes to find countries with the most amount of data</image:caption>
    </image:image>
    <image:image>
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      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 1</image:title>
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    <image:image>
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      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 1</image:title>
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    <image:image>
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      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 1</image:title>
    </image:image>
    <image:image>
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      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 1</image:title>
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    <image:image>
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      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 1</image:title>
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    <image:image>
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      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 1</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568238896164-IBCD9ICREBUB1HWYF2LW/Screen+Shot+2019-09-11+at+2.28.22+PM.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 1</image:title>
    </image:image>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568244535964-MZKF33LYOZ1QFNG2FM6B/Screen+Shot+2019-09-11+at+4.28.00+PM.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 1</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.aditicherian.com/pastprojects/labor-market-analysis-2</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2019-09-11</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568265358864-T38J7RUDHB2NBUKQ7BSG/image-asset.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>The raw .csv file from web scraping the Workana website</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568247348920-K83L0J2KQIALQLOMDMRV/Screen+Shot+2019-09-11+at+5.13.41+PM.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>Count by Country - without Outliers</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568247383897-JS1D7G4XEE2KHGG51Z2E/Screen+Shot+2019-09-11+at+5.13.03+PM.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>Count by Country - with Outliers</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568247454807-SGMIZR6NZ9O64H565SQW/Screen+Shot+2019-09-11+at+5.14.07+PM.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>Distribution by Country - Graph 2</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568247759386-6P1TFNVDYH5DOXXD6U7L/image-asset.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>Distribution by Country - Graph 1</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568265307878-QYUOM1YQ4UX3CPHYGCFF/Screen+Shot+2019-09-11+at+8.50.44+PM.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>Each of the hundreds of languages from the .csv file were organized and placed within one of the ten categories below.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568266583182-OCB6ZVCT6EI72WFEYLDB/image-asset.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568265722268-8IVF9AES4OJ9QN3LM1OZ/Screen+Shot+2019-09-11+at+10.08.39+PM.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>Counts by Category</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568265741885-2VZJHSKOTMXLLLW7FCJW/Screen+Shot+2019-09-11+at+10.08.57+PM.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>Counts by Category and Country</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568265774892-F88HPYD1FJSJABK9W8KO/20140301_Trade-151_0124-copy.jpg</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>Distribution by Category</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568265790425-VE8OH3JLJU8T9PTN4MI3/20140301_Trade-151_0124-copy.jpg</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>Modal Analysis by Category</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568265802399-BONFCSMMGS561PCK6SM1/20140301_Trade-151_0124-copy.jpg</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>Distribution by Country and Category</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568265828924-NA1QWRAQX2K6VI5W6AWG/Screen+Shot+2019-09-11+at+10.10.10+PM.png</image:loc>
      <image:title>Projects - Data Analysis - Latin American Labor Market Analysis 2</image:title>
      <image:caption>Distribution by Country and Category</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.aditicherian.com/pastprojects/promotion-predictor</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2019-10-16</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568164641195-P7VQQZLO6HRB6WIWEBFR/Screen+Shot+2019-09-10+at+6.03.57+PM.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>Boxplot for Bottles Sold - Outliers Not Filtered The boxplot above is a plot of the bottles sold by each store in Iowa with all outliers included. This causes the boxplot to look very skewed by the larger points of data. The box plot is skewed so much that the actual ‘box’ portion of the boxplot, or the central tendency, is unclear. The range of this graph is from 0 to 25,000 bottles sold.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568164861209-HIMY6Y8KWRBHC1N9Y29B/20140301_Trade-151_0124-copy.jpg</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>Boxplot for Bottles Sold - Outliers Filtered The boxplot above is a plot of the bottles sold by each store in Iowa with the major outliers removed. This boxplot does not look skewed by the outliers because the range is only from 0 to 200 and the ‘box’ portion of the boxplot can be seen. The central tendency for bottles sold in Iowa is between 5 and 35 bottles sold.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568164745689-LC6M3AK6X9O8HOK4PWS5/Screen+Shot+2019-09-10+at+6.05.20+PM.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>Boxplot for Price - Outliers Filtered The boxplot above is a plot of the price for bottles by each store in Iowa. The central tendency is between $8 to $19. The range of this graph is from $0 to $130 so the plot is clear.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568165200712-W2970V08ZUDIFSRZFBN2/20140301_Trade-151_0124-copy.jpg</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>Histogram for Price - Outliers Filtered The histogram above is of the price by each store in Iowa with the major outliers excluded. This causes the boxplot to look very skewed by the larger points of data. We are able to see that the greatest amount of liquor sold in stores is priced between $0 - $12.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568164988360-N0T7WLZMDCMIYZJWLC9Y/20140301_Trade-151_0124-copy.jpg</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>Histogram for Bottles Sold - Outliers Not Filtered The histogram above is of the bottles sold by each store in Iowa with the major outliers included. This causes the histogram to look very skewed by the larger points of data causing only 4 bars in the graph. A clearer example of the histogram is below</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568165106632-X2P94QQRWR30ID9OUAF7/20140301_Trade-151_0124-copy.jpg</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>Histogram for Bottles Sold - Outliers Filtered The histogram above is of the bottles sold by each store in Iowa with the major outliers removed. This causes the histogram to have many more bars within the graph. This graph is easier to analyze and the smaller range allows us to break down the larger chunks from the previous graph and look into the data more closely. We are able to see that most stores sell between 0 - 20 bottles at a time.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568165934621-35FKW91ZNGVNXOTDDVL0/image-asset.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>Above shows the fill rate for our category with highest fill ratio, 1011200, which had a higher fill rate than every other category.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568182447855-NSG8M3TU2ZKAJMRKPJMI/Screen+Shot+2019-09-10+at+6.33.12+PM.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>Table showing the results of summing the bottles sold for a chosen category.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568170946599-RQMU5FT0XMCT02R9WEM5/Screen+Shot+2019-09-10+at+8.01.59+PM.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>The diagram above is of the general process for forecasting using ARIMA.  The Hyndman-Khandakar algorithm (which is what Auto_ARIMA() is a variation of) only uses steps 3-5.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568175784754-LYHYL44QHAQ6QAIPFNE1/Screen+Shot+2019-09-10+at+9.22.33+PM.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>The image above shows our table after left joining to a wider date range.  Our table should have more rows containing more dates.  However, we have a lot of NaN entries in our data and need to interpolate them.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568166742455-1JMGW58PODDDBZ1AGLRN/image-asset.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568175380330-YYALLDI0Q296FHDJWDCP/Screen+Shot+2019-09-10+at+9.12.01+PM.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>The table above shows our new dataframe after pivoting.  All the categories are now their own columns, with the amount of bottles sold as their entries.  However, we don’t have enough daily entries so we need to left join this table with a wider date range.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568268499139-YJPHNOCSWKO70W72L49V/Screen+Shot+2019-09-10+at+11.05.55+PM.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568180778921-E9Y93J94EVKD11T8K1Z1/Screen+Shot+2019-09-10+at+10.45.33+PM.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>In our table above, we no longer have any NaN values as we have linearly interpolated the data.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568182056952-ZM3AI41YJSD3X7NHCPAP/Screen+Shot+2019-09-10+at+11.06.18+PM.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5d70a90a483fca0001a7cc51/1568171799446-E2LNE64JESA9JTIWSYDY/image-asset.png</image:loc>
      <image:title>Projects - Machine Learning -  Promotion Predictor</image:title>
      <image:caption>The lower the MAPE percentage, the more accurate the forecasted value.</image:caption>
    </image:image>
  </url>
</urlset>

