Data visualization with plotly | Python Plotly Tutorial

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In this video you will learn about how visualize data by using #plotly. Plotly is the best tool in Python for #datavisualization. Along the way you will learn about following #data #visualization technique in details:
- Bar charts in Plotly (0:00)
- Plotly for Python(19:45)
- Histogram using plotly for Python (20:55)
- Distribution plots using plotly for Python (33:00)
- Scatter plots using plotly (42:00)
- Line charts using plotly (49:00)
- Box and whisker plots in plotly for python (56:00)
- Subplots using plotly (1:06:00)
- Import image into a Google colab (1:15:00)
- How to use plotly in google colab (1:18:00)

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Thanks a lot... The way of explanation is very clear and in detail... I didn't learn from my institution but I learned plotly in detail in this one video

sarithajaligama

Fantastic video on plotly. Much needed. Thanks!

alexandrospapakyriacou

Thank you very much for wonderful video very informative.

srinuti

Thank you for clarifying the grammar of Plotly. How do you share a notebook which has code+ plotly/plotly express charts with someone who doesnt have plotly library installed on their machine and ensure that the charts still load in the same way that they do when run in my laptop?(I tried downloading as HTML but it doesnt render the plotly charts in a 'non-plotly' environment)

anantharamaniyer

Very nice videos. In Distribution plot using plotly for Python (42:24), I get an error because of domain values. Putting {"domain":[0, 1]} makes the plot work. I guess since the curve_type is normal, it does not recognize numbers beyond (0, 1).

kashivis