data analysis through the entire process 

• asking reasonable question about the given data at least 5 question
• data wrangling by gathering data from web scraping or database then cleaning the data from different issues       like missing values ,duplicate and outliers
• data exploring and visualization to communicate our conclusions with a better understanding 
• the work will be submitted in .ipynb / .py

i have worked on a project for data analysis for Udacity in studying the effect of population growth from different views on income , co2 emissions , agricultural land and urban growth . i begin asking question about the most country having population to take it as my case study then gathering data from the web from the International bank .

After gathering the data i cleaned it from missing values and improper data type using pandas library 

then begin to explore the data , visualize it using Matplotlib library to analysis and communicate our conclusions