##Topic :UNICEF data about the state of schooling,education and literacy across globe.
1] Youth and adult literacy rates
2]Net attendance rates
3]Completion rates
4]Out-of-school rates
1] Data cleaning (Unstructured format to Structured format)
2]pandas is a powerfull open source Python data analysis library that is used for data cleaning.
Data visualization is a key part of any data science workflow. Data visualization should really be part of your workflow from the very beginning, as there is a lot of value and insight to be gained from just looking at your data. Summary statistics often don’t tell the whole story. When visualizing data, the most important factor to keep in mind is the purpose of the visualization.
We used pandas for Data pre processing ,Python pandas are the one of most powerfull to make structured data