We are looking for a freelancer to delviers a Python Jupyter Notebook that download data from an api (create the api string joining IDs) and process it into a Custom Table:
The custom table should have
[login to view URL] name, source and unit in the Column 1, 2 and 3 (text)
2. N columns with last N months of data in Month over Month variation
3. M columns with last M quaters with full data in Quarter over Quarter (average) variation or YoY variation.
[login to view URL] to date
Also
[login to view URL] colors and fonts in different rows AND highlighted cells
We will provide examples of what we need
HI. I understand your requirements. You want to display the data scraped from the internet in a custom format. I am ready to complete this project. Message me to discuss more.
$35 USD en 1 día
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2 freelancers están ofertando un promedio de $23 USD por este trabajo