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Introduction to Jamie Ford, NISD Paulina Cano, CI:NOW What is R? - PowerPoint PPT Presentation

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Introduction to Jamie Ford, NISD Paulina Cano, CI:NOW What is R? One of the most widely used data analysis software, used by statisticians, analysts, data scientists, etc. Powerful statistical programming language with unique data

  1. Introduction to Jamie Ford, NISD Paulina Cano, CI:NOW

  2. What is R? One of the most widely used data analysis software, used by ◎ statisticians, analysts, data scientists, etc. Powerful statistical programming language with unique data ◎ visualizations More than 14,000 libraries approved on CRAN (plus others on ◎ GitHub, etc.) R has more than 2 million users worldwide and is growing rapidly ◎ R can be downloaded online for free along with Rstudio ◎ 2

  3. How does R compare to other statistical software? Ease of learning ✔✔ ✔ ✔ ❌ Good user ✔✔ ✔ ✔ ❌ interface Programming ❌ ✔ ✔ ✔✔ Capabilities Support from ✔ ✔ ✔ ❌ company Price ❌ ❌ ❌ ✔ Advanced ❌ ❌ ❌ ✔✔ Visualization capabilities Handle complex ❌ ✔✔ ✔✔ ✔✔ models Handle large sets ✔ ✔✔ ✔✔ ✔✔ of data 3

  4. Rstudio 4

  5. 5

  6. Is R right for you? Advantages Disadvantages ◎ Open-Source ◎ Steep learning curve ◎ Community support ◎ Programming and ◎ Automation capacity limitations when ◎ Flexibility compared to Python or ◎ Dynamic outpu t similar ◎ Some libraries may not be updated ◎ Not standardized 6

  7. Using R to Work with Census Data R allows you to download census data directly. Steps: 1. Request a free Census Bureau API key https://api.census.gov/data/key_signup.html 2. Download a few packages: tigris (shapefiles), tidycensus (Census and ACS data with feature geometries) and sf , (simple features is use to represent geographic vector data). 3. Load variables of interest. 4. Your are now ready to interact with the data 7

  8. Continuation of Census Data and R If we install the leafview and mapview packages, we can visualize the data: 8

  9. Example Output https://map-rfun.library.duke.edu/02_choropleth.html 9

  10. Using R for Survey Data - Jamie Using libraries gmodels and wordcloud , R can analyze frequencies, cross-tabs and text. 10

  11. Data Manipulation Derive new variables Join multiple data sets of data together Create summaries of your dataset Pull information directly from websites and/or public data sets (e.g. ACS) 11

  12. 12

  13. Data Visualization R has several packages that enable visualizing data: BaseR ◎ Ggplot2 ◎ Leaflet (interactive) ◎ Plotly (interactive) ◎ Other specialized (various models, EDA, GIS, ◎ network, etc.) Bar Plots 13

  14. Data Visualization Bubble Graphs Boxplots Density Graphs Time Series Graph 14

  15. EXAMPLES OF PROJECTS Visualizations of STAAR Results & College Enrollment Flows 15

  16. EXAMPLES OF PROJECTS Decision Trees using CTREE 16

  17. EXAMPLES OF PROJECTS Automation and customization of over 200 Trendlines Geoid Title Subtitle Source Year Estimate Margin of Min Max Error (Moe) Moe Moe Atascosa Educational Highest ACS 1-Year 2012 8.15 1.38 6.77 9.53 County Attainment (25 Degree Estimates, and Older), Obtained ACS 5-Year Bachelors Estimates Degree Atascosa Educational Highest ACS 1-Year 2017 9.61 1.64 7.97 11.25 County Attainment (25 Degree Estimates, and Older), Obtained ACS 5-Year Bachelors Estimates Degree Bexar Educational Highest ACS 1-Year 2012 16.5 0.59 15.91 17.10 County Attainment (25 Degree Estimates, and Older), Obtained ACS 5-Year Bachelors Estimates Degree Bexar Educational Highest ACS 1-Year 2013 17 0.58 16.42 17.58 County Attainment (25 Degree Estimates, and Older), Obtained ACS 5-Year Bachelors Estimates Degree 17

  18. EXAMPLE OF PROJECT: AUTOMATION AND CUSTOMIZATION OF TRENDLINES 18

  19. 19

  20. Resources Quick Tips News & Tutorials Troubleshooting Rtips R-bloggers Rdocumentation List of common tasks performed in R Blogs related to R and its Manuals and information for applications packages http://pj.freefaculty.org/R/Rtips.html . https://www.rdocumentation.org / https://www.r-bloggers.com/ ImpatientR R Graph Gallery Stackoverflow Introduction to basic functions Examples of visualizations with Developers share knowledge https://www.burns-stat.com/documents/ code samples tutorials/why-use-the-r-language/ https://stackoverflow.com/ https://www.r-graph-gallery.com/ Books YaRrr! The Pirates Guide to R Intro to basic analytical tools in R, from basic coding and analyses, to data wrangling, plotting, and statistical inference. https://bookdown.org/ndphillips/YaRrr/ 20

  21. Thanks! Questions? Paulina Cano: paulina.canomccutcheon@uth.tmc.edu Jamie Ford: jamie.ford@nisd.net 21

  22. Data Drinks @ 4:30 PM 22

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