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  • Berlin

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EddaBra/README.md

Hi, I'm Edda 👋

  • 🌙 she/her
  • 🌐 interested in understanding current trends and transformation processes in society, politics and economy
  • 🔭 keen to explore relationships in data
  • 🤍 statistical & causal inference, machine learning, (interactive) data visualization- preferably with R
  • ⛵ on my way learning Python

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  1. guides-advanced-statistical-inferenceguides-advanced-statistical-inferencePublic

    Explaining three common methods for advanced quantitative data analysis and their implementation in R.

    R

  2. guides-for-supervised-learningguides-for-supervised-learningPublic

    A Quarto Book that provides guidance for machine learning methods and advanced data visualiziation in R. For each method the theory behind it is explained and an example of usage in R is given.

    R

  3. life-expectancy_shiny-applife-expectancy_shiny-appPublic

    An interactive shiny app to explore the influence of living standard and health expenditure on life expectancy around the world.

    HTML

  4. polarization_age-generations_DEpolarization_age-generations_DEPublic

    Measuring the polarization between the older and younger generations in Germany using hierarchical item response models.

    R

  5. popular-spotify-trackspopular-spotify-tracksPublic

    What makes a song popular in todays world? Using data from spotify I explore patterns in audio features using advanced data visualization and supervised machine learning techniques

    HTML

  6. sql-cheat-sheetsql-cheat-sheetPublic

    Benefit from my super structured cheat sheet for SQL syntax. (:

    R