Related queries summary - Google trends with Python

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Using the Google trends data, we can analyze different keywords, but also to compare the interest among them in different regions. This can help us make better and more informed decisions.
The video is part 4 of the tutorial series focused on Google Trends, using the pytrends library, and is focused on finding queries that are related to the keyword or keywords that we're analyzing. In the end, there is a summary of the top and rising queries.
Link to Pytrends documentation: pypi.org/proje...
Github link for all 5 tutorials: github.com/kos...

[@udaynagendra8717]

Can I get this type of data below From pytrends API by using Python program Country SubRegion City Fever Cough Malaysia Selangor Dengkil 11 10 Malaysia Selangor Bangi 31 23 Malaysia Selangor Rawang 17 28 Malaysia Selangor Puchong 82 45

[@BikaramaditayaMontgomery]

very nice tutorial, i just want to export it in HTML table kindly make video.

[@meilleurpourvous2014]

Thank you very much for the excellent explanation I have a question if it is possible Can we save the results to a csv file I tried e.writerow(data[kw]['rising']) But only this is saved: query,value I'm really a beginner, I'm sorry if it's a little stupid question Thanks again

[@Pythonenthusiast]

There is no such thing as a stupid question :) Your selection data[kw]['rising'] is very good. This is my approach: My first question would be, what is the data type? You can get this by print(type(data[kw]['rising']) it returns: So, what you want to save is actually a DataFrame, which is very, very easy to do. All you need to do is: data[kw]['rising'].to_csv("filename.csv") Hope this helps! :) If you are running this for more keywords, I'd suggest to use data[kw]['rising'].to_csv(kw + " rising.csv") Hope this helps!

[@meilleurpourvous2014]

@@Pythonenthusiast Thank you very much, it helped me He worked now Thanks to you :)

[@tylerscott9203]

Could you make a script similar to this for me if I make a video showing exactly what I need it to do?

[@14kethereumeth]

Thanks daddy