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explore \u003cimg src=\"man/figures/logo.png\" align=\"right\" width=\"130\" height=\"150\"/\u003e\n\n\u003c!-- badges: start --\u003e\n\n[![R-CMD-check](https://github.com/rolkra/explore/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/rolkra/explore/actions/workflows/R-CMD-check.yaml) \n[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/explore)](https://CRAN.r-project.org/package=explore)\n[![Downloads](https://cranlogs.r-pkg.org/badges/explore)](https://CRAN.r-project.org/package=explore)\n[![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/grand-total/explore?color=blue)](https://r-pkg.org/pkg/explore)\n\u003c!-- badges: end --\u003e\n\nSimplifies Exploratory Data Analysis:\n\n-   **Interactive data exploration**: `explore()`\n-   Use **AI** to unveil hidden patterns in your data (xgboost, RF, logreg, DT): `explain_*()`\n-   Generate an **automated report** of your data (or patterns in your data): `report()`\n-   **Manual exploration**: `explore()`, `describe()`, `explain_*()`, `abtest()`, ...\n-   18 ready to use **datasets for teaching \u0026 testing**: `use_data_*()`, `create_data_*()`\n\n``` r\n# install from CRAN\ninstall.packages(\"explore\")\n```\n\n## Examples\n\n``` r\n# interactive data exploration\nlibrary(explore)\nbeer \u003c- use_data_beer()\nbeer |\u003e explore()\n```\n\n\u003cimg src=\"man/figures/explore-beer-target.png\" alt=\"explore variable + target\" width=\"600\"/\u003e\n\n\u003cimg src=\"man/figures/explore-beer-tree.png\" alt=\"explore target using a decisoion tree\" width=\"600\"/\u003e\n\n``` r\n# describe data\nbeer |\u003e describe()\n```\n\n```         \n# A tibble: 11 × 8\n   variable          type     na na_pct unique    min    mean    max\n   \u003cchr\u003e             \u003cchr\u003e \u003cint\u003e  \u003cdbl\u003e  \u003cint\u003e  \u003cdbl\u003e   \u003cdbl\u003e  \u003cdbl\u003e\n 1 name              chr       0    0      161   NA     NA      NA  \n 2 brand             chr       0    0       29   NA     NA      NA  \n 3 country           chr       0    0        3   NA     NA      NA  \n 4 year              dbl       0    0        1 2023   2023    2023  \n 5 type              chr       0    0        3   NA     NA      NA  \n 6 color_dark        dbl       0    0        2    0      0.09    1  \n 7 alcohol_vol_pct   dbl       2    1.2     35    0      4.32    8.4\n 8 original_wort     dbl       5    3.1     54    5.1   11.3    18.3\n 9 energy_kcal_100ml dbl      11    6.8     34   20     39.9    62  \n10 carb_g_100ml      dbl      16    9.9     44    1.5    3.53    6.7\n11 sugar_g_100ml     dbl      16    9.9     26    0      0.72    4.6\n```\n\n``` r\n# explore data manually\nbeer |\u003e explore(type)\nbeer |\u003e explore(energy_kcal_100ml)\nbeer |\u003e explore(energy_kcal_100ml, target = type)\nbeer |\u003e explore(alcohol_vol_pct, energy_kcal_100ml, target = type)\n```\n\n\u003cimg src=\"man/figures/explore-beer-plots.png\" alt=\"explore data manual\" width=\"600\"/\u003e\n\n``` r\n# explore manually with color and interactive\nbeer |\u003e \n  explore(sugar_g_100ml, color = \"gold\") |\u003e \n  interact()\n```\n\n\u003cimg src=\"man/figures/explore-beer-interact.png\" alt=\"explore with color and interactive\" width=\"400\"/\u003e\n\n\n## Get started\n\n* [Get started with {explore}](https://rolkra.github.io/explore/articles/explore.html)\n* [Explore penguins (tidy-data)](https://rolkra.github.io/explore/articles/explore_penguins.html)\n* [Explore titanic (count-data)](https://rolkra.github.io/explore/articles/explore_titanic.html)\n* [Explain a target using machine learning](https://rolkra.github.io/explore/articles/explain.html)\n* [Generate a report of all variables in the  data](https://rolkra.github.io/explore/articles/report.html)\n* [Generate a report of all patterns in the  data](https://rolkra.github.io/explore/articles/report-target.html)\n* [Datasets in {explore}](https://rolkra.github.io/explore/articles/data.html)\n* [A/B testing](https://rolkra.github.io/explore/articles/abtest.html)\n* and more ...\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frolkra%2Fexplore","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frolkra%2Fexplore","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frolkra%2Fexplore/lists"}