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  1. One of the useful features is that the forms will automatically save your data to a Google Sheet. This article will walk through how to create a form, authenticate using OAuth 2 and read all the responses into a pandas dataframe.

    • How to create a pbpython user survey?1
    • How to create a pbpython user survey?2
    • How to create a pbpython user survey?3
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  2. Jul 2, 2015 · This is the second article in a series describing how to use Google Forms to collect information via simple web forms, read it into a pandas dataframe and analyze it. This article will focus on how to use the data in the dataframe to create complex and powerful data visualizations with seaborn.

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    • How to create a pbpython user survey?1
    • How to create a pbpython user survey?2
    • How to create a pbpython user survey?3
    • How to create a pbpython user survey?4
  3. SPREADSHEET = "PBPython User Survey (Responses)" # Based on docs here - http://gspread.readthedocs.org/en/latest/oauth2.html # Load in the secret JSON key (must be a service account)

  4. Dec 23, 2019 · First Option - Use Binder. Second Option - Using an Ubuntu Server in a Hacky Way with Tmux. Using Heroku or Google Cloud Platform. Conclusion. The Goal. Jupyter notebooks are one of my favorite tools to work with data, they are simple to use, fast to set up, and flexible.

  5. Jan 20, 2018 · I want to build a survey consisting of some question (<10) with 4 options each. I tried different ways (Microsoft survey, SurveyMonkey or Excel etc.) and finally turned to Python so that i get to learn something and achieve exactly what i want.

  6. fill out a webform that uses javascript with python (question was framed very strangely and was about Javascript forums, which I don't understand how it is relevant/ I didn't understand it, and nobody answered the question).

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  8. Oct 9, 2017 · Creating Interactive Visualizations with Plotly’s Dash Framework. Posted by Chris Moffitt in articles. Introduction. Python’s visualization landscape is quite complex with many available libraries for various types of data visualization. In previous articles, I have covered several approaches for visualizing data in python.

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