This Wednesday we talked about time series analysis. It is a very complex and involved topic, but most participants showed great interest, so we would continue talking about this for the next few sessions. Thank you to everyone who showed up! See you next Wednesday 11/02/2016 10:00-12:00 at DSSC! […]
Category: Open Lab
Python Open Labs- Session 4
Hi everyone In the fourth session of Python Open Labs, we covered the basics of loops and iterations. Today’s session covered the basics of using a while loop and also introduce the csv python library. Please check out the course material on: https://goo.gl/YP0c2E See you next week ! […]
R Open Labs – Data Manipulation
Today we introduced merge(), factor() and some basic techniques for handling missing values during the first 30 minutes of the open lab. For the rest of the open lab, there were free discussions about personal projects the participants are working on. We also introduced package swirl. Swirl package teaches you R programming interactively. Thank you to everyone who […]
Python Open Labs Session – 3
Hi Everyone Today in the third session of Python Open Labs we covered defining user functions, getting familiar with built-in functions, a quick revision of conditional statements and various ways and exercises to use functions and their advantages. The course material from all Python Open Labs Session is available on […]
R Open Labs – Plotting
Yesterday we briefly talked about how to do plotting in R. We mainly discussed plot(), barplot(), hist() and Lattice package. Thank you to everyone who showed up and we will explore more data visualization techniques for next session. Also, from next session on, the open lab will be much less structured and will involve more […]
R Open Labs – Basic Syntax
Hi all, last Wednesday we kicked off the first session of R Open Lab in the DSSC( based in Lehman Library). We started with basic syntax and briefly discussed how to explore the features of our datasets. We used data from Wal-Mart and we will continue exploring this dataset for the next few sessions. Beginners are welcome […]
Python Open Labs Session – 2
In the second session of Python Open Labs, the focus was on conditional statements. Topics covered include : Conditional Operators, Conditional Statements, Boolean Expressions, Python’s obsession with indentation (and the idea of scope!), Two Way Decisions, Multi-way Decisions (using if-else, and elif). The code on slides is in Python 2.7 – So if you use anything […]
Python Open Labs Session-1
Hi everyone, in the first session of Python Open Labs at DSSC we discussed about need of programming and covered the basic concepts of Python including simple print statements, arithmetic expressions, syntax rules, variables, constants and type casting. Please check out the slides and example codes on: https://goo.gl/YP0c2E and don’t forget to follow up on […]
R Open Labs: mi
Last week, Professor Ben Goodrich stopped by R Open Labs to show us how to use the mi package, which he worked on with Professor Andrew Gelman. As the name ‘mi’ suggests, this package does multiple imputations to help you predict missing values in your data sets. Check out the demo if you’d like to […]
R Open Labs: QQPlot
Post by Ellie Ransom, Research Services Coordinator, Science and Engineering Libraries At last week’s R Open Lab, we visualized our data to test our assumptions of normality using two of of R’s native commands, qqnorm and qqline. We practiced using the built in dataset, trees, and looked at the variables Height and Volume separately. Notice how the Height […]