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    <title>Carol Addassi on Portfolio website of Carol Addassi</title>
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    <description>Recent content in Carol Addassi on Portfolio website of Carol Addassi</description>
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      <title>Workflow Exercise: BigQuery in Kaggle to RStudio</title>
      <link>/project/2021-09-13-workflow-exercise-bigquery-in-kaggle-to-rstudio/</link>
      <pubDate>Mon, 13 Sep 2021 00:00:00 +0000</pubDate>
      
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      <description>Notebook Purpose     The motivation for this notebook is to practice a workflow using Kaggle, BigQuery, and RStudio while exploring survey data of vacant storefronts in August 2020 on Broadway in New York City.
For this exercise I&amp;rsquo;ll use Kaggle&amp;rsquo;s integration into BigQuery with Kaggle kernal language set to Python, and then download the .ipynb notebook file and convert to an R Markdown document in an R project containing my portfolio website using the Hugo Apéro theme with blogdown.</description>
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      <title>Changelog for Cyclistic&#39;s Bike-Share Project</title>
      <link>/talk/2021-08-10-changelog-for-cylistics-project/</link>
      <pubDate>Tue, 10 Aug 2021 00:00:00 +0000</pubDate>
      
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      <description>Changelog for Cyclistic Bike-Share Case Study     New, 08/06/2021, v1.0       12 files of the most recent monthly historical data (July 2020 - June 2021) were imported and unzipped into .csv files, opened in Excel, and converted to .xlsx files.
  Copies of the 12 files were kept at each stage: zipped, .csv., and .xlsx, until the end of the project and it&amp;rsquo;s determined they are no longer necessary.</description>
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      <title>Creating my portfolio site with R package blogdown and Hugo Apéro theme</title>
      <link>/blog/2021-08-10-creating-my-portfolio-site-with-blogdown-package-and-the-hugo-ap%C3%A9ro-theme/</link>
      <pubDate>Tue, 10 Aug 2021 00:00:00 +0000</pubDate>
      
      <guid>/blog/2021-08-10-creating-my-portfolio-site-with-blogdown-package-and-the-hugo-ap%C3%A9ro-theme/</guid>
      <description>Jesse Mostipak&amp;rsquo;s Kaggle profile was highlighted in Google Data Analytics Capstone: Complete a Case Study&amp;rsquo;s resources. I also viewed her personal site and loved how it looked. That&amp;rsquo;s where I discovered the Hugo Apéro theme, which took me to Alison Hill and the presentation with R-Ladies Tunis to learn how to install it, including a side trip into Happy Git with R by Jenny Bryan.
This is just one example of the seemingly infinite (and generous) resources available to learn about data analysis tools.</description>
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      <title>Increase Cyclistic&#39;s Bike-Share Membership: How do annual members and casual riders differ?</title>
      <link>/project/2021-08-10-increase-cyclistic-s-bike-share-membership-how-do-annual-members-and-casual-riders-differ/</link>
      <pubDate>Tue, 10 Aug 2021 00:00:00 +0000</pubDate>
      
      <guid>/project/2021-08-10-increase-cyclistic-s-bike-share-membership-how-do-annual-members-and-casual-riders-differ/</guid>
      <description>Case Study: How Does Cyclistic Bike-Share Navigate Speedy Success?     Goal:
Design marketing strategies that convert casual riders to annual members.
Why:
Cyclistic’s financial analysts have concluded that annual members are much more profitable than casual riders.
How:
Help our marketing analytics team better understand how annual members and casual riders differ (the scope of this document), why casual riders would buy Cyclistic annual memberships, and how digital media could affect marketing tactics.</description>
    </item>
    
    <item>
      <title>R Process for Cyclistic&#39;s Bike-Share Project</title>
      <link>/talk/2021-08-10-r-code-for-cyclistic-s-bike-share-project/</link>
      <pubDate>Tue, 10 Aug 2021 00:00:00 +0000</pubDate>
      
      <guid>/talk/2021-08-10-r-code-for-cyclistic-s-bike-share-project/</guid>
      <description>Cyclistic_Exercise_Full_Year_Analysis     This analysis is based on the Divvy case study &amp;ldquo;Sophisticated, Clear, and Polished’: Divvy and Data Visualization&amp;rdquo; written by Kevin Hartman. The purpose of this script is to consolidate downloaded Divvy data into a single dataframe and then conduct simple analysis to help answer the key question: “In what ways do members and casual riders use Divvy bikes differently?”
Load required packages     library(tidyverse) #helps wrangle data library(lubridate) #helps wrangle date attributes library(ggplot2) #helps visualize data</description>
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    <item>
      <title>Reach out</title>
      <link>/contact/</link>
      <pubDate>Mon, 25 Feb 2019 13:38:41 -0600</pubDate>
      
      <guid>/contact/</guid>
      <description>** Contact page don&amp;rsquo;t contain a body, just the front matter above. See form.html in the layouts folder **</description>
    </item>
    
    <item>
      <title>License</title>
      <link>/license/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/license/</guid>
      <description>My notes are released under a Creative Commons Attribution-ShareAlike 4.0 International License.
All photography is © 2021 Carol Whaley Addassi. All rights reserved.
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