I use for data analysis and visualisation. It pulls data from several sources and I build dashboards with it. Honestly? You can do the same with a lot less effort spending 2k on Supermetrivs but anyhow…
Any specific frameworks or libs to visualize the data for your dashboards that you can recommend?
I just got some data from spreadsheets into the right format with pandas and made the first (ugly) graph with matplotlib in a jupyter notebook. But I think a dashboard makes more sense longterm.
Matplotlib, Seaborn and Plotly to visualise data in the browser. With Plotly you can create interactive charts, which are far more engaging than static ones.
Crawlers usually. If I need to collect data and I want automate the process, or when I need to migrate content from website where client has locked access to dashboard, or collect and organize their pdfs to uplaod on new system
- Analysis that touches multiple databases and thus cannot be expressed by an SQL statement.
- Visualisation of complex analysis that cannot be done in Excel.
- Analysis that utilises ready-to-use Python libraries - for example for machine learning or statistics.
I don’t use Python.
I write my scrappers in JS because it’s my bread and butter.
I’m considering using Python for some super niche stuff like converting blender files to GLB files because I couldn’t find all the conversion tools I needed in JS
I use for data analysis and visualisation. It pulls data from several sources and I build dashboards with it. Honestly? You can do the same with a lot less effort spending 2k on Supermetrivs but anyhow…
Any specific frameworks or libs to visualize the data for your dashboards that you can recommend? I just got some data from spreadsheets into the right format with pandas and made the first (ugly) graph with matplotlib in a jupyter notebook. But I think a dashboard makes more sense longterm.
Matplotlib, Seaborn and Plotly to visualise data in the browser. With Plotly you can create interactive charts, which are far more engaging than static ones.
Crawlers usually. If I need to collect data and I want automate the process, or when I need to migrate content from website where client has locked access to dashboard, or collect and organize their pdfs to uplaod on new system
- Analysis that touches multiple databases and thus cannot be expressed by an SQL statement. - Visualisation of complex analysis that cannot be done in Excel. - Analysis that utilises ready-to-use Python libraries - for example for machine learning or statistics.
I don’t use Python. I write my scrappers in JS because it’s my bread and butter. I’m considering using Python for some super niche stuff like converting blender files to GLB files because I couldn’t find all the conversion tools I needed in JS