Dam fund analysis I - Data preprocessing
We will be looking at the data released by the State Bank of Pakistan. The data is the daily bank-wise and donor-wise receipts of the fund for the Daimer Bhasha and Mohmand Dam. We will see how to scrape data from the web, clean it, and import it into Pandas and then use it for data analysis purposes.
Dam fund analysis II - Data Exploration and Analysis
We will use data exploration processes on the dataset that we have cleaned up. We will use graphs to visualize the data, then move on to some mathemetical descriptions of the data, and then come up with some hypotheses to explain our findings.
Dam fund analysis III - Feature Extraction and Regression
In this part we'll move beyond simply analysing the data and will instead move towards trying to make some inferences regarding the data - predictions on when the dam's target value of (the minimum estimate) 1.5 Trillion rupees will be reached.