DSSC Extended Walk-in Hours

We’ve extended our walk-in hours from two hours to four hours per day between March 27th through April 27th, Monday – Thursday.

We’ve also added a calendar listing the type of help you can expect during walk-in hours as well as some of the other activities in the DSSC such as the Open Labs or workshops.

The new hours are as follows, although best to consult the calendar in case of changes. Outside of these hours, you can always request a one-on-one consultation with one of our staff.

Monday 12pm – 4pm: help with R, Stata, SPSS and SAS

Tuesday 12pm – 4pm: help with GIS

Wednesday 12:30pm  – 4:30pm: help with R, Stata, SPSS and SAS

Thursday 12pm – 4pm: help with GIS

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 used for the open lab can be found here.

https://drive.google.com/open?id=0B4uO8w_uGtsCMUVoLXl1Z0JsSlU

Enjoy spring! ❤️

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 – 15 folder on the google drive link mentioned below.

All of the course slides and examples are made available on: https://goo.gl/YP0c2E

As always, please keep up with your programming practise, a suggested link for the same is: https://www.hackerrank.com/domains/python/py-introduction

See you next Friday from 1:30 PM – 3:30 PM at DSSC (Room – 215), Lehman Library at Columbia SIPA ! We will be covering some basics about web scraping.

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 luck on your midterms and have a wonderful spring break! 😄

Python Open Labs – Object Oriented Programming

Hi

In this session we looked at simple concepts of object oriented programming, including the basics of creating classes, object instances, attributes and methods.

All of the course slides and examples are made available on: https://goo.gl/YP0c2E

Meanwhile, continue to practise and brush up your skills on: https://www.hackerrank.com/domains/python/py-introduction

See you next Friday from 1:30 PM – 3:30 PM at DSSC (Room – 215), Lehman Library at Columbia SIPA !

R Open Labs – readr Package

Today we introduced readr package. It is a package used for reading csv/xls/txt etc. data. It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes. 

We covered the functionality of the package and the difference between this package and base R.

Next week we will talk about apply family.

See you next Wednesday from 10 am – 12 pm at DSSC (Lehman Social Science Library Room 215)!

R Open Labs – Linear Regression

Thank you to all who showed up last week!

Last Wednesday we went over doing linear regression in R, including: how to fit and interpret linear models, evaluate model validity and select among competing models.

See you this Wednesday from 10 am – 12 pm at DSSC (Lehman Social Science Library Room 215)!

Materials I used for this open lab is posted here. https://drive.google.com/open?id=0B4uO8w_uGtsCQTJ6aUNFMUJpZVE

Python Open Labs – Session 12 (Review)

Hi

Today we had a brief review session of all the basics of programming that we have covered so far in the Python Open Labs series. During this review we went over reading and writing files, conditional statements, for loops and while loops and various other specifics of programming with Python. This marks a major milestone in the series as all of the material covered so far should be sufficient for basic programming/scripting tasks that you may need

All of the course slides are made available on: https://goo.gl/YP0c2E

Meanwhile, continue to practise and brush up your skills on: https://www.hackerrank.com/domains/python/py-introduction

In the next session I will introduce Object Oriented Design with Python.

For those who are getting started with Python, please watch this space for a concise blog post on basics of Python Installation, IDE set up etc in the coming week !

See you next Friday from 1:30 PM – 3:30 PM at DSSC (Room – 215), Lehman Library at Columbia SIPA !

Link

Hi

 

In this session of Python Open Labs we looked at python dictionaries, one of the most powerful data types built into python, optimal for storing in-memory look up tables for fast lookups and search queries.

In the next session we will go through some of the previous concepts as revision and introduce Object Oriented Design with Python.

All of the course slides are made available on: https://goo.gl/YP0c2E

Meanwhile, continue to practise and brush up your skills on: https://www.hackerrank.com/domains/python/py-introduction

For those who are getting started with Python, please watch this space for a concise blog post on basics of Python Installation, IDE set up etc in the coming week !

See you next Friday from 1:30 PM – 3:30 PM at DSSC (Room – 215), Lehman Library at Columbia SIPA !

R Open Labs – Shiny

Hope you guys enjoyed the snow. ❄️

This Wednesday we talked about Shiny. We discussed why we use R Shiny and how to create a Shiny application. Thank you to all who showed up! Hoping to see you next Wednesday 02/15/2017 10:00-11:00 at DSSC. The R Open Lab for next week will be shorter than usual because we will be hosting an R workshop about Data Wrangling right after the open lab 12:00 pm -1:00 pm at the Science & Engineering Library!

Looking forward to seeing you guys! 😊