{"id":4770,"date":"2022-04-12T14:52:09","date_gmt":"2022-04-12T12:52:09","guid":{"rendered":"https:\/\/globalcoss.com\/stagingthefrench\/?p=4770"},"modified":"2023-02-01T17:12:43","modified_gmt":"2023-02-01T16:12:43","slug":"comment-analyser-et-synthetiser-des-donnees-digitales-2","status":"publish","type":"post","link":"https:\/\/globalcoss.com\/en\/2022\/04\/12\/comment-analyser-et-synthetiser-des-donnees-digitales-2\/","title":{"rendered":"How to analyze and synthesize digital data?"},"content":{"rendered":"
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How to analyze and synthesize digital data?<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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With the growth of the big data phenomenon, data analysis and summarising are becoming crucial elements when it comes to revealing trends and sharing key information.<\/p>

Beyond data analysis, it\u2019s also important to know how to cross-check information, to overlap statistics, and to create visual forecasts and projections.<\/p>

Here are the key steps for ensuring optimal use of your data and boosting its value:<\/p>

  1. Check the reliability of your data<\/strong><\/h5>

    This step is crucial \u2013 it concerns having a sound understanding of the data that you\u2019re going to work with:<\/p>

    • Where does it come from?<\/li>
    • Is it reliable?<\/li>
    • How was it created?<\/li>
    • Can it be used to generate our own data, etc.? ?<\/li><\/ul><\/li>
    • Start with flat tabulation
      <\/strong><\/h5>

      This is particularly important if your data isn\u2019t all the same type \u2013 you analyse the data elements individually, one by one. To do this, you might need to harmonise the data, if all elements aren\u2019t in the same format.<\/p>

      Flat tabulation \u2013 this refers to descriptive statistics (e.g. %) for a qualitative variable. A flat tabulation is typically represented with a bar chart.<\/p><\/li>

    • Move onto cross tabulation<\/strong><\/h5>

      This step involves analysing the relations between two or more variables. It allows you to highlight the relation between two or more data groups (e.g. place of residence and age). Cross tabulation enables the obtaining of finer analyses to check, validate or disprove hypotheses.<\/p><\/li>

    • Create visuals<\/strong><\/h5><\/li><\/ol>
      • Present the most important results in the form of graphs, which will allow you to summarise data in a concise, uncomplicated and clear way.<\/li>
      • Present your visuals through story-telling to contextualise them and to bring your data to life.<\/li><\/ul><\/div><\/div><\/div><\/div><\/div><\/section>
        \u00a0<\/div><\/div><\/section>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

        Comment analyser et synth\u00e9tiser des donn\u00e9es digitales ? Face \u00e0 la croissance du ph\u00e9nom\u00e8ne de big data, le travail d\u2019analyse de donn\u00e9es et de leur synth\u00e8se devient crucial pour faire \u00e9merger des tendances et partager les informations cl\u00e9s. Au-del\u00e0 de l\u2019analyse des donn\u00e9es, il est aussi important de savoir croiser des informations, de recouper des […]<\/p>","protected":false},"author":3,"featured_media":4771,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[99],"tags":[],"yoast_head":"\nComment analyser et synth\u00e9tiser des donn\u00e9es digitales | Blog<\/title>\n<meta name=\"description\" content=\"Article de blog. Retrouvez nos conseils et astuces pour apprendre \u00e0 bien analyser et synth\u00e9tiser des donn\u00e9es digitales. 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