Link: https://www.r-bloggers.com/2021/03/faster-data-exploration-with-dataexplorer/
This R package offers an easy to use method for getting an impression of your data. These data are extracted from a simulation model:
SimThyr is a simulation program for the pituitary thyroid feedback control that is based on a parametrically isomorphic model of the overall system that aims in a better insight into the dynamics of thyrotropic feedback. Applications of this program cover research, including development of hypotheses, and education of students in biology and medicine, nurses and patients.
https://sourceforge.net/p/simthyr/home/SimThyr/
You may find different scenarios build for SimThyr here: https://sourceforge.net/projects/simthyr/files/Scenarios/ This file presented below are taken from these scenarios – Kubota 2.
Data Profiling Report
Basic Statistics
Raw Counts
| Name | Value |
|---|---|
| Rows | 864 |
| Columns | 12 |
| Discrete columns | 1 |
| Continuous columns | 11 |
| All missing columns | 0 |
| Missing observations | 0 |
| Complete Rows | 864 |
| Total observations | 10,368 |
| Memory allocation | 85.7 Kb |
Percentages
Data Structure
Missing Data Profile
Univariate Distribution
Histogram
Bar Chart (with frequency)
QQ Plot
Correlation Analysis
## Warning in dummify(data, maxcat = maxcat): Ignored all discrete
## features since `maxcat` set to 20 categories!
Principal Component Analysis
Q-Q plot – explanation: https://stats.stackexchange.com/questions/101274/how-to-interpret-a-qq-plot