Data-wrangling

This project is used for me to dive deeply into data wrangling. This is a coure from udacity's data analysis nanodegree program

Introduction

Standard data wrangling process can be divied into 4 parts.

• Gathering data, in this step, I should try to get enough data, using web scraper
• Accessing data, in this step, I find what problems this dataset has
• cleaning and tiding data, in this step, I try every menthod to make the data ready for further analysing.
• saving data, in this step, I save the file as a csv file, or in a database.

Tools I used

I used requests, API, pandas, numpy, matplotlib to do the analysis, and used jupyter notebook to run all the code.

Process

I followed the project instraction step by step to gather, assess, clean, and save.

License

This project is Hao Xu's Udacity Nanodegree project. The datasets and instractions are all from udacity.