The project mainly focuses on getting a hands on experience with Wrangling and Cleaning the data.Wrangling for the same had 3 steps :
- In hand File
- Programmatically downloading a file from a server
- Twitterr API interaction in order to get the missing data Cleaning for the data is has been carried out in such a way that we get the cleanest dataset possible which is ready to analyzed.The project also includes the analysis of some key questions in order to get a basic insight.The wrangle report pdf gives detailed explanation of the data wrangling process carried out in this process.Besides this an act report has also been generated in order to make the visualizations presentable.
- Experience with data wrangling
- Getting an insight of all the possible sources of data\
- API calls
- Cleaning in a step by step manner
- Creating reports for the obtained outcomes
As the project mainly focuses on data wrangling and cleaning process,the skills acquired are really handy and are necessary in analyzing almost any dataset.Getting to know about all the possible data sources and creating a single global dataset out of all the data collected was really helpful.Being clear in the steps that are to be carried out in order to clean the dataset by writing them down under Assessment Summary can really help to stick to the point instead of getting intimidated by humongous data.