For those who have been following this blog series, sorry for a late post on the updates about Python Open Labs. Last week we covered some basics about web scraping with python, but before I start let me make a customary disclaimer. Make sure that any of the websites that you want to scrape have granted […]
Month: March 2017
R Open Lab – Merge and Filter Data
During the first 20-30 minutes of yesterday’s open lab, we talked about how to merge datasets and filter data using base R and dplyr package. The rest of the open lab were free discussions between participants and instructors. Thank you to all who showed up! Welcome to explore the materials I used for the open lab: https://drive.google.com/open?id=0B4uO8w_uGtsCWjRId0p6QllKZlE Enjoy the spring! […]
R Open Lab – ggplot
Data visualization is an integral part of data exploration and presentation. Yesterday, we talked about ggplot2, a package which provides a mature and consistent system for plotting in R. We explored the advantage and disadvantages of ggplot2, the syntax and usage of the package. As always, thank you to everyone who showed up. Materials I […]
Python Open Labs – Format Strings
Hi In the 15th session of Python Open Labs, this week we looked at some miscellaneous topics and revision of basic concepts of file reading and string handling from previous sessions. We also briefly looked into format strings / format specifiers for string construction in Python. The relevant slides are available on the Session – […]
R Open Labs – Apply Family
This Wednesday we talked about apply function family in base R. We covered apply(), tapply(), lapply(), sapply() and vapply(). We also briefly introduced the concept of factors in R. As always, thank you to all who showed up! Next two weeks’ R Open Lab will be cancelled due to midterm week and spring break. Good […]