Recent comments in /f/dataisbeautiful

kerver2 t1_izawz67 wrote

I've hear some good things about the Google Analytics course (hosted on Coursera). I myself have done a Power BI Course through my company but there is also a free one to follow online on learn.microsoft for Power BI training. I must say that the visualisation is the flashiest but easiest part, gathering, cleaning and thinking of how to present data is the hard part!

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kerver2 t1_izatzgj wrote

I use Power Bi and Excel's Power Pivot (because my company just looooves Excel). Power Bi is definitely more business oriented and more meant for interactive dashboards. But I just love the graphical interface of it. I am a programmer as well but just hitting buttons is so much easier when visualizing stuff. I think Python and R are definetely more powerful, versatile and customizable. But the ease of use of Power BI (and even Excel) as a visualisation tool are a big plus for me.

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Indomitable_Dan t1_izatjhb wrote

I have DeWalt power tools because they're cheap and plentiful. I've had good luck with them. I rock Stanley and Kobalt for my other tools and have no problem with them either. I have a couple of ancient (1960s) Craftsman tools in my drawer inside the house for simple things. I've used Milwaukee and they're great but I can't afford them. Snap on I don't believe are actually real. I've never seen anyone use them.

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madredditscientist OP t1_izaphb8 wrote

The idea is to find the most popular brands and products across Reddit based on discussion volume and sentiment.

Source: https://looria.com/reddit/tools/brands

Tools: PRAW, spacy, BERT, chart.js

Data: r/Tools

Methodology: Named Entity Recognition "NER" applied to comments and posts until one year back. I then ran sentiment analysis on the data to find out if it's a positive or negative opinion (after filtering out ambiguous mentions).

What ranks surprise you? Any other subreddits I should look at?

More analyzed subreddits: https://looria.com/reddit/overview

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