Exploratory Data Analysis with
Maria Schreiber
Grace Hopper Program
April 20, 2017
Exploratory Data Analysis with
What is EDA/ Why R?
A basic R live code
Parts of 'big data' analysis
How is 'big data' analyzed?
- Formulating questions/hypotheses
- Data collection/identification
- Data wrangling/munging
- Exploratory data analysis
- Formal modeling/prediction/analysis
- Drawing and communicating conclusions
Exploratory Data Analysis
EDA happens between you and the data and isn't about proving anything to anyone else yet.
- Cathy O'Neil
Here's where R comes in!
Wait, what is R?
- Open source statistical programming language
- Initially released in 1995, but is gaining in popularity
- Interpreted language - can be used in the CLI, but there are also many delightful and free GUIs
- Enhanced by user-written packages
Live Code!
Resources
Udacity EDA course/Data visualization course
R-bloggers - https://www.r-bloggers.com/
R Cookbook - http://www.cookbook-r.com/
Ggplot 2 - http://ggplot2.tidyverse.org/index.html
NYC Open Data - https://opendata.cityofnewyork.us/
Check out my upcoming blogpost on Medium!
