The course syllabus (and setup instructions) can be found here.

• Monday 5/9
  • Delaney's presentation.
  • Course feedback survey.
• Friday 5/13 Note on the ethics of Open Data Science
  • OkCupid Data
  • Blog Post

• Monday 5/2
  • No Lecture. Doodle poll for signing up to open office hours.
• HW-4 Discussion
  • In lab discussion
  • Files. Please save these files in your HW-4 folder and Knit. Don't forget to ensure you have all necessary packages. If this doesn't work, you can follow along here.
    • HW-4_Albert_Notes.Rmd.
    • COUNTY.csv
    • R11168779_SL140.csv
• Friday 5/6
  • No Lecture. Doodle poll for signing up to open office hours.

• Lec22: tm Package
  • Files:
    • Slides: Text Mining Package.
    • Lec22.R Exercise.
  • Remaining schedule
    • Wed 4/27: HW-5 assigned
    • Fri 4/29 and Mon 5/2: No lecture, but rather open office hours. Please send an email to schedule.
    • Wed 5/4: HW-4 discussion in Wilson Lab.
    • Fri 5/6: No lecture, but rather open office hours. Please send an email to schedule.
    • Mon 5/9 through Mon 5/16: Presentations.
• HW-5. Also a few final examples of text mining:
  • Latent Dirichlet Allocation
  • Using tm and lda packages: Federalist Papers
• Friday 4/29
  • No Lecture. Doodle poll for signing up to open office hours.

• Lec20: Final Project and String Manipulation
  • Final Project GitHub repo to be forked is available. Please submit your projects there.
  • Files:
    • Slides: String Manipulation.
    • Lec20.R Exercise.
• HW-3 Discussion
  • In lab discussion
  • Files HW-3_Albert_Notes.Rmd. Please save this file in your HW-3 folder and Knit. Don't forget to ensure you have all necessary packages. If this doesn't work, you can follow along here.
• Lec21: Twitter Data
  • Files:
    • Slides: Twitter Data.
    • Lec21.R Exercise.

• Lec19: Spatial Autocorrelation
  • Files:
    • Slides: Spatial Autocorrelation.
    • Lec19.R Exercise.
    • tract2010.zip zip file of Multnomah Country, Oregon shapefiles.
    • Near and Far
• HW-4
  • Also determined order of presentations using presentations.R in the Misc folder and Enrique's favorite number 7 as the random number generator seed value.

• Lec17: GIS and Shapefiles
  • Files:
    • Guest lecture by Patrick Culbert Teaching Fellow in Geography: GIS_Raster_Vector.pdf
    • Lec17.R Exercise.
• HW-2 Discussion
  • In lab discussion
  • Files HW-2_Albert_Notes.Rmd. Please save this file in your HW-2 folder and Knit. Don't forget to ensure you have all necessary packages. If this doesn't work, you can follow along here.
• Lec18: Leaflet Package
  • Files:
    • Slides: Open Street Map, Leaflet.
    • Lec18.R Exercise.

• Lec14: Packages & Vignettes and Finishing Dates & Times
  • Slides: Hadleyverse, R Packages, and Vignettes.
  • Files:
    • Lec14.R Exercise.
    • Example of 3D plot using plotly: 3D_plot_ex.Rmd
• Lec16: Shiny
  • Slides: Shiny.
  • Files: Lec14_lubridate_solutions.R Solutions.
  • Other:
    • xkcd on GitHub.
    • datacamp.com resource for learning R/Python in browser.

• Lec11: Even More Logistic Regression
  • In-class Lecture
  • Files: Lec11.R Exercise.
• HW-1 Discussion
  • In lab discussion
  • Files: HW-1_Albert_Notes.Rmd from the HW-1 folder.
  • Setup:
    • Save HW-1_Albert_Notes.Rmd in your HW-1 project folder.
    • If you haven't already, install the DT, knitr, and plotly packages.
    • Load the datasets in your console.
• Lec13: Final Project and Dates & Times with lubridate
  • Final project guidelines. Your project proposal is due Wednesday April 6th (after break) at 11:15.
  • Open this Quandl link.
  • Files: Lec13.R Exercise from "Lec13: Dates and Times with lubridate" folder.

• Lec08: More Regression
  • In-class Lecture and Slides
  • Files: Lec08.R Exercise.
• Lec09: Logistic Regression and OkCupid Data
  • In-class Lecture and Slides
  • Files:
    • Lec09.R Exercise.
    • OkCupid Data CSV
• Lec10: More Logistic Regression
  • In-class Lecture

• Lec05: R Markdown and More ggplot2
  • Slides: Markdown and R Markdown
  • Slides: More ggplot2
  • Link to R Markdown Debugging Checks
  • Files: Lec05.R Exercise.
• Lec06: Finishing ggplot2 and Tidy Data using tidyr
  • Slides: UC Berkeley admissions data discussions (Click on RAW to download)
  • Slides: tidyr Package
  • Files:
    • Lec06.R Exercise.
    • popdensity1990_00_10.csv 1990, 2000, 2010 Census data.
• Lec07: Regression to the Mean
  • In-class Lecture
  • Files: Lec07.R Exercise.

• Lec04: ggplot2 Package
  • Slides: More components of a statistical graphic and other ressources.
  • Files: Lec04.R Exercise.
• Lec03:
  • dplyr Joins
    • Slides: dplyr joins for merging data frames.
    • Files:
      • Lec03.R Exercise.
      • states.csv. Click on Raw button, then Save Page As states.csv and not states.
  • Grammar of Graphics
    • Slides: Discussion on The Grammar of Graphics paper.
    • Files: babynames.Rmd. Example of Shiny app (interactive visualization); install shiny and listed packages first.

• Lec02: Loading Data
  • Slides: The importance of minimizing prerequisites to research, loading data into RStudio via CSV files or webscraping.
  • Files:
    • Lec02.R Exercise. To download:
      1. Go to the above directory "Lec02 Loading Data"
      2. Click on Lec02.R -> Raw
      3. From your browser's menu bar -> File -> Save Page As... Be sure to save as Lec02.R and not Lec02.R.txt
    • UCBAdmissions.xlsx Excel spreadsheet. To download repeat steps a. and b. above.
  • HW-0, due Wednesday 2016/2/24, is posted. This is merely a practice homework to familiarize yourselves to the HW submission format and process.
• Lec01: Data manipulation with dplyr
  • Slides: Tidy data, data manipulation verbs, piping %>% with the magrittr package.
  • Files: Lec01.R Exercise
• Lec00: Intro to Data Science
  • Slides: What is data science? Building our data toolbox.