Power_Data (Complete Project):

Aim of this Project:

• Compare the available data of this country with the United states or an other country if you want.
• Generate charts from the extracted data, also generate comparative diagrams as many as make sense to you.
• Find out so much information as possible. What information was stored there? What entries can you find for special column contents?

Dataset Description:

The data is obtained from Power | Data Access Viewer (nasa.gov) weather website. The size of the dataset is 90 rows x 13 columns. It contains 90 data points and 13 parameters denoting different data features.

Install all librabries:

1. Pandas
2. Numpy
3. Matplotlib
4. Seaborn

GitHub:

By using git commands:

• git add
• git status
• git commit
• git push

Exploratory data analysis:

1. Loading data sets.
2. Find out the shape of the data.
3. Total null value present in the dataset.
4. Check datatypes.

Data Cleaning:

1. Drop all those unnecessary columns with all the null values and will not require further analysis.
2. Dropping the null rows from the dataset, as they will be having unique entries only.
3. Adding new updated columns.

Visualization:

1. Pie Chart,
2. Line Chart,
3. Bar Plot.

Conclusion:

• It was my first project, from which, I learned how to import data, how to analyze data, how to compare two different data, how to remove the column and clean the data and how to do visulization via different graphs.