• Exploring The Redacted Mueller Report

    Needs a location

    In this hands-on workshop you'll learn how to download a pdf from a website, convert it to text, count words and n-grams, and plot these counts. Location: UA Main Library Room A120

  • Hadley Wickham - invited talk

    Environment and Natural Resources 2 Building

    Hadley is currently Chief Scientist at RStudio, and an Adjunct Professor of Statistics at the University of Auckland, Stanford University, and Rice University. http://hadley.nz/

  • Text mining

    University of Arizona Libraries - Main Library

    In our first workshop of Fall 2018, we will be doing some text mining with the package tidytext, and a sentiment labelled sentences data set. Please bring a laptop with R and Rstudio installed.

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  • Classifying and Predicting

    iSpace - Room 202 of the Science-Engineering Library (UA campus)

  • Analyzing Likert Scale Data

    iSpace - Room 202 of the Science-Engineering Library (UA campus)

    Amanda Snell will present her project on using likert scale data to analyze creativity dimensions. We will then hold hands-on practice with public data (personality test) on how to: - Import data into R - Transform the data so it is more easily visualized - Do some descriptive statistics (median, mode, mean, standard deviation) - Do some inferential statistics (ANOVA, Pearson's r, t-test, regression)

  • BLIND DATE WITH YOUR CSV FILE

    iSpace - Room 202 of the Science-Engineering Library (UA campus)

    Bring a CSV file or play with ours! AVERAGES · MAX · MIN · STD DEVIATION · OUTLIERS · DESCRIPTIVE STATISTICS All levels encouraged, mentors too! Bring a friend! Step by step instructions. Individual & partner work. PRESENTER: JOAN PALMITER BAJOREK

  • R tutorial Part II

    iSpace - Room 202 of the Science-Engineering Library (UA campus)

    • What we'll do • R Basics – Reading the console cursor • Importing Data into R (quick review) – Importing Excel spreadsheets into R – Dealing with different data types – Summarizing your data – Creating cross tabs • Exploratory Analyses – dplyr package – glimpse, grouping, counting, and other functions • Visualizing your Data – ggplot package - basic components – scatterplot – discussion of advantages and disadvantages of different plots and charts • What to bring • Important to know

  • Intro R Workshop

    Location visible to members

    The main goal of this workshop is to develop the following skills: • R Basics – Installing packages – Using libraries – Defining your working directory – Checking your working space • Coding literacy – Reading code – Reading error messages – Writing readable code • Importing Data into R – Importing Excel spreadsheets into R – Dealing with different data types – Summarizing your data – Creating crosstabs

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