Name: Exploratory data analysis and visualisation
Start: 2023-05-02T18:00:00+02:00
End: 2023-05-02T19:00:00+02:00

Exploratory data analysis (EDA) is a critical (and sometimes under-appreciated!) step that precedes statistical analysis. This includes steps like calculating descriptive statistics, finding extreme values, and summarizing the data -- in general, getting familiar with your raw data before you start to apply a statistical model! In this workshop, we will use dplyr (tidyverse) commands, like group_by() and summarize(), to highlight these important EDA steps.

EDA also includes graphing raw data to assess initial trends. The workshop will also cover different kinds of data visualisations, including box plots, scatterplots with trend lines, and bar plots with the ggplot package. The focus will be on quickly deploying informative graphs and selecting the right geom()s for the data types you have.

No previous knowledge is assumed, just general experience with R (loading packages, reading in data, etc.). If you'd like to polish up your tidyverse skills before joining, check out our previous workshop on data wrangling: https://youtu.be/NRgdTaAfwTo

Julia Müller

Kyla McConnell

R-Ladies Freiburg

R-Ladies

Technology

Open Source

Natural Language Processing

Machine Learning

Data Visualization

Predictive Analytics

Data Mining

Data Science

Programming in R

Deep Learning

Data Science using R

Data Analytics

Big Data

Exploratory data analysis and visualisation

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R-Ladies Freiburg

Exploratory data analysis and visualisation

R-Ladies Freiburg

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