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Description
The outcome of this task will be extracting table from the PDFs of Yearbook and structuring the tables into readable data set (csv) for Government, researchers and others to use in the future.
Initial Phase:
1. Downloading the PDFs.
2. Using packages in R / Python to Extract table from PDFs.
3. Transforming the tables into the data frame.
Cleaning Phase:
1. Removing and modifying rows or columns which contain incorrect value
2. Identifying each table by its page No. and name of PDF.
3. Normalizing similar tables into same structure to avoid redundancy if the data would be stored in Database in UN.
Co-authors to your solution
Gokulakrishnan Narasimhan, Guilherme Silveira, Meijie Li, Guangyue Li
Link to your concept design and documentation (Required by the final day of the Submission & Collaboration phase)
Link to an online working solution or prototype (Required by the final day of the Submission & Collaboration phase):
Link to a video or screencast of your solution or prototype (Required by the final day of the Submission & Collaboration phase):
Link to source code of your solution or prototype above. (If you submitted a link to an online solution or prototype, or to a video of your solution of prototype, you must provide a link to the source code. This item is required by the final day of the submission phase):
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