{"id":826,"date":"2023-11-13T14:56:20","date_gmt":"2023-11-13T14:56:20","guid":{"rendered":"https:\/\/trydatatherapy.com\/project\/data-analysis-services\/"},"modified":"2023-12-29T11:36:14","modified_gmt":"2023-12-29T11:36:14","slug":"data-analysis-services","status":"publish","type":"project","link":"https:\/\/trydatatherapy.com\/en\/project\/data-analysis-services\/","title":{"rendered":"Data analysis services"},"content":{"rendered":"

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Home<\/a> > Scientific affairs tools <\/a> > Data analysis services<\/a><\/p>\n

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Data analysis services<\/h4>\n

Our data Analysis Services includes the Data Analysis Requirements gathering in order to understand the client\u2019s need and assess the data requirements to accomplish their goals and help them with the necessary tools to do so.<\/p>\n

Our Data Analysis Services involve analyzing large datasets\/databases to identify patterns, trends, associations, and insights that can generate scientific evidence to support business decisions. Our team of data analysis experts uses advanced statistical and machine learning methods and tools to extract meaningful information from your data. In this sense, we offer a range of services, including data cleaning, data analysis, data visualization, and report generation. <\/p>\n

 <\/p>\n

Data cleaning<\/h6>\n

Our data cleaning service involves identifying and correcting errors and inconsistencies in datasets\/databases to ensure that they are accurate and reliable at the time to develop a statistical analysis. For this purpose, we use a variety of modern techniques in order to accomplish with the following steps to clean datasets\/databases: <\/p>\n

    \n
  • Inspect the data (dataset characteristics)<\/li>\n
  • Identify missing values<\/li>\n
  • Handle missing values<\/li>\n
  • Check for duplicates<\/li>\n
  • Handle outliers<\/li>\n
  • Normalize data<\/li>\n
  • Check for consistency<\/li>\n
  • Convert data types<\/li>\n
  • Save the cleaned dataset <\/li>\n<\/ul>\n

     <\/p>\n

    Data analysis<\/h6>\n

    We apply several statistical and machine learning methods at the time to analyze a database, depending on the research question and the nature of the data. Our goal is to choose the appropriate method to ensure accurate and meaningful scientific robust results. <\/p>\n

      \n
    • Descriptive statistics<\/li>\n
    • Inferential statistics<\/li>\n
    • Data visualization (graphs and charts, interactive dashboards)<\/li>\n
    • Clustering analysis<\/li>\n
    • Text mining<\/li>\n
    • Association analysis <\/li>\n<\/ul>\n

       <\/p>\n

      Data visualization<\/h6>\n

      We are able to implement different data visualization tools for database analysis, which includes the creation of visual representations of your data to help the client to better understand them: <\/p>\n

      Dashboarding and Business Intelligence<\/strong> <\/p>\n

        \n
      • Apache Superset<\/li>\n
      • ELK<\/li>\n
      • Grafana<\/li>\n
      • Tableau Desktop (with Wine or virtualization)<\/li>\n
      • Pentaho<\/li>\n
      • Metabase<\/li>\n
      • Google Data Studio (web-based)<\/li>\n<\/ul>\n

        Other tools:<\/strong><\/p>\n

          \n
        • R with ggplot2<\/li>\n
        • Plotly<\/li>\n
        • Matplotlib<\/li>\n
        • Jupyter Notebook<\/li>\n
        • D3.js<\/li>\n
        • Microsoft Power BI<\/li>\n
        • Google Smart Analytics<\/li>\n
        • QlikView<\/li>\n
        • Tableau<\/li>\n
        • MicroStrategy<\/li>\n
        • Sisense<\/li>\n<\/ul>\n

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