Preparing and Cleaning Survey Data for Tableau | Best Practice

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  • Опубліковано 29 чер 2020
  • VizualSurvey is the bridge that connects market researchers to industry leading data visualization’s in Tableau. Request a demo at vizualsurvey.com.
    The purpose of getting survey data is to get accurate insights. To achieve this, we need to be able to visualize survey data accurately. Most of the survey tools have their own reporting tool, and you can see basic analytics of your survey if you sign up for the highest-paid plan. To do a deep analysis like combining multiple surveys from different times or from different survey software and visualizing it in one dashboard, you need Tableau, Power BI or another data visualization tool. You will get many options like filtering, cross-analysis of different questions, and other extensive features only possible through a custom data visualization tool. It sounds good but it is hard to do, you can’t just download a CSV file, and connect your data to any data visualization tool. You will need to clean your survey data first, learn how to use a data visualization tool, then create a dashboard for that specific dataset. So when you export a CSV file from a survey data tool, you have a lot of problems, and some of the most important ones are discussed below.

КОМЕНТАРІ • 6

  • @alexisjackson8265
    @alexisjackson8265 3 роки тому +4

    What about if you do not have the Tableau add on. The tableau add on seems to be discontinued. Is there a way to do this manually?

  • @kishanteli5649
    @kishanteli5649 3 роки тому +1

    If I want to download some survey data for self-learning where I can found this type of Raw data can you guide me?

  • @AD-bc2es
    @AD-bc2es 4 місяці тому

    So tableau will automatically separate commas for the multiple choice questions ??

  • @panic_seller
    @panic_seller 4 місяці тому

    why prep in Excel yet Tableau has Prep Builder??

  • @kieuanhnguyen1389
    @kieuanhnguyen1389 2 роки тому +1

    This is not what data cleaning means. This is more data visualising.