ggquickeda
Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables
Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and 'table1' tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.3 |
rolling source/ R- | ggquickeda_0.3.3.tar.gz |
4.0 MiB |
0.3.3 |
rolling linux/jammy R-4.5 | ggquickeda_0.3.3.tar.gz |
2.8 MiB |
0.3.3 |
rolling linux/noble R-4.5 | ggquickeda_0.3.3.tar.gz |
2.8 MiB |
0.3.3 |
latest source/ R- | ggquickeda_0.3.3.tar.gz |
4.0 MiB |
0.3.3 |
latest linux/jammy R-4.5 | ggquickeda_0.3.3.tar.gz |
2.8 MiB |
0.3.3 |
latest linux/noble R-4.5 | ggquickeda_0.3.3.tar.gz |
2.8 MiB |
0.3.3 |
2026-04-23 source/ R- | ggquickeda_0.3.3.tar.gz |
4.0 MiB |
0.3.3 |
2026-04-09 windows/windows R-4.5 | ggquickeda_0.3.3.zip |
2.8 MiB |
0.3.1 |
2025-04-20 source/ R- | ggquickeda_0.3.1.tar.gz |
4.0 MiB |
Dependencies (latest)
Imports
- colourpicker
- dplyr
- data.table
- DT
- Formula
- forcats
- GGally (>= 2.1.0)
- ggbeeswarm
- ggh4x
- ggplot2 (>= 3.4.0)
- ggpmisc
- ggrepel (>= 0.7.0)
- ggridges
- ggpubr
- ggstance
- glue
- gridExtra
- Hmisc
- markdown
- methods
- patchwork (>= 1.2.0)
- plotly
- quantreg
- rlang
- rms
- RPostgres
- scales
- shiny (>= 1.0.4)
- shinyFiles
- shinyjs (>= 1.1)
- shinyjqui
- stringr
- survival
- survminer
- tibble
- tidyr
- table1 (>= 1.4.2)
- zoo