Scientific Python : Learn to Analyze Text Data using Python and Pandas

Scientific Python (Pandas)

This dataset is small (toy) and we could in principle open it in a text editor or in Excel. However, real-world datasets are often larger and cumbersome to open in their entirety. Let’s assume as if it were a Big Data (and unstructured) and we want to get a sneak peak of the data. This is often the first thing to do when you get your hands on new data- previewing; it is important to get a sense for what it contains, how it is organized, and whether the data makes sense in the first place. 

To help us get a preview of the data, we first create a Pandas object `pd` call the function `read_csv()` to read the input file (`unirank.csv`). The dataset has been already been stored onto the course storagespace, thanks to educative.io team). Once the data has been stored into the `df` data frame, we simply call the Pandas `head()` function to return the first few rows, which are then posted to `stdout` via the `to_csv()` function. Press the "Run" button below and watch the output! 



Introduction

Basics

Pandas Series

Project 1: Analysing the 'US News' university ranking data

Data Preview