update r 1.2

README.md

@@ -8,14 +8,16 @@
 
 
 This repository serves as a hub for various Cheat Sheets related to 
-the field of Data Science (with Python). What sets these Cheat Sheets apart is their 
+the field of Data Science (with Python and R). What sets these Cheat Sheets apart is their 
 multidimensional approach to enhancing the learning experience. 
 Each Cheat Sheet is made available in three distinct formats: **PDF**, **Streamlit**, and **Google Colab**.
 
 This threefold approach to guarantee that learners can interact with the content in 
 a manner that aligns with their preferences and learning style.
 
-**Content**
+## Content
+
+### Python
 
 | Topic        | PDF                                                                                                                                                                                                                                  | Streamlit                                                                                                                                                        | Google Colab                                                                                                                                                                                                                                   |
 |--------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
@@ -26,6 +28,14 @@ a manner that aligns with their preferences and learning style.
 | scikit-learn | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/scikit-learn_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://ds-cheat-sheets-sklearn.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>    | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/scikit-learn/sklearn.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>  |
 | polars       | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/polars_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>       | <a href="https://ds-cheat-sheets-polars.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>     | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/polars/polars.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>         |
 
+### R
+
+| Topic   | PDF                                                                                                                                                                                                                             | Streamlit                                                                                                                                                     | Google Colab                                                                                                                                                                                                                             |
+|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| dplyr   | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/dplyr_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>   | <a href="https://ds-cheat-sheets-dplyr.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>   | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/dplyr/dplyr.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>     |
+| ggplot2 | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/ggplot2_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://ds-cheat-sheets-ggplot2.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/ggplot2/ggplot2.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
+| forcats | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/forcats_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://ds-cheat-sheets-forcats.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/forcats/forcats.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
+
 > **Note**: The PDF format cheat sheets included here are authored by other contributors and have been used as sources of inspiration for the content presented.
 
 ## More Information

docs/examples/dplyr/dplyr.ipynb

@@ -5,13 +5,13 @@
    "metadata": {},
    "source": [
     "<div style=\"display: flex; align-items: center;\">\n",
-    "    <a href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/numpy_cs.pdf\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
+    "    <a href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/dplyr_cs.pdf\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
     "        <img src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white\"/>\n",
     "    </a>\n",
-    "    <a href=\"https://ds-cheat-sheets-numpy.streamlit.app/\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
+    "    <a href=\"https://ds-cheat-sheets-dplyr.streamlit.app/\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
     "        <img src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/>\n",
     "    </a>\n",
-    "    <a href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/numpy/numpy.ipynb\" target=\"_parent\">\n",
+    "    <a href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/dplyr/dplyr.ipynb\" target=\"_parent\">\n",
     "        <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
     "    </a>\n",
     "</div>"

docs/examples/forcats/forcats.ipynb

@@ -7,13 +7,13 @@
    },
    "source": [
     "<div style=\"display: flex; align-items: center;\">\n",
-    "    <a href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/numpy_cs.pdf\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
+    "    <a href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/forcats_cs.pdf\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
     "        <img src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white\"/>\n",
     "    </a>\n",
-    "    <a href=\"https://ds-cheat-sheets-numpy.streamlit.app/\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
+    "    <a href=\"https://ds-cheat-sheets-forcats.streamlit.app/\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
     "        <img src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/>\n",
     "    </a>\n",
-    "    <a href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/numpy/numpy.ipynb\" target=\"_parent\">\n",
+    "    <a href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/forcats/forcats.ipynb\" target=\"_parent\">\n",
     "        <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
     "    </a>\n",
     "</div>"

docs/examples/ggplot2/ggplot2.ipynb

@@ -5,13 +5,13 @@
    "metadata": {},
    "source": [
     "<div style=\"display: flex; align-items: center;\">\n",
-    "    <a href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/numpy_cs.pdf\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
+    "    <a href=\"https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/ggplot2_cs.pdf\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
     "        <img src=\"https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white\"/>\n",
     "    </a>\n",
-    "    <a href=\"https://ds-cheat-sheets-numpy.streamlit.app/\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
+    "    <a href=\"https://ds-cheat-sheets-ggplot2.streamlit.app/\" target=\"_parent\" style=\"margin-right: 10px;\">\n",
     "        <img src=\"https://static.streamlit.io/badges/streamlit_badge_black_white.svg\"/>\n",
     "    </a>\n",
-    "    <a href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/numpy/numpy.ipynb\" target=\"_parent\">\n",
+    "    <a href=\"https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/ggplot2/ggplot2.ipynb\" target=\"_parent\">\n",
     "        <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
     "    </a>\n",
     "</div>\n",

docs/index.md

@@ -1,7 +1,7 @@
 # Cheat Sheets for Data Science Learning
 
 This repository serves as a hub for various Cheat Sheets related to 
-the field of Data Science (with Python). What sets these Cheat Sheets apart is their 
+the field of Data Science (with Python and R). What sets these Cheat Sheets apart is their 
 multidimensional approach to enhancing the learning experience. 
 Each Cheat Sheet is made available in three distinct formats: 
 
@@ -11,6 +11,8 @@ Each Cheat Sheet is made available in three distinct formats:
 
 ## Content
 
+### Python
+
 ::cards:: cols=3
 
 - title: Python
@@ -58,6 +60,33 @@ Each Cheat Sheet is made available in three distinct formats:
 
 ::/cards::
 
+### R
+
+::cards:: cols=3
+
+- title: Dplyr
+  content: "
+  dplyr is a data manipulation tool that offers a consistent set of actions for solving common data manipulation tasks.
+  "
+  image: https://rstudio.github.io/cheatsheets/html/images/logo-dplyr.png
+  url: ./examples/dplyr/dplyr/
+
+- title: Ggplot2
+  content: "
+  ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics.
+  "
+  image: https://rstudio.github.io/cheatsheets/html/images/logo-ggplot2.png
+  url: ./examples/ggplot2/ggplot2/
+
+- title: Forcats
+  content: "
+  forcats package is to provide a suite of tools that solve common problems with factors (in R).
+  "
+  image: https://rstudio.github.io/cheatsheets/html/images/logo-forcats.png
+  url: ./examples/forcats/forcats/
+
+::/cards::
+
 > **Note**: The PDF format cheat sheets included here are authored by other contributors and have been used as sources of inspiration for the content presented.
 
 ## References

mkdocs.yml

@@ -1,7 +1,7 @@
 # Copyright (c) 2016-2022 Martin Donath <[email protected]>
 
 # Project information
-site_name: DS-Cheat-Sheets
+site_name: DS CheatSheets
 site_url: https://github.com/fralfaro/DS-Cheat-Sheets
 site_author: Francisco Alfaro
 site_description:
@@ -43,7 +43,7 @@ extra_javascript:
 theme:
   name: material
   language: en
-  logo: images/python.png
+  logo: images/rpython.svg
   favicon: images/logo_fam.png
   features:
     - navigation.instant
@@ -96,12 +96,17 @@ plugins:
 nav:
     - Home: index.md
     - Cheat Sheets:
-        - Python: examples/python/python.ipynb
-        - Numpy: examples/numpy/numpy.ipynb
-        - Pandas: examples/pandas/pandas.ipynb
-        - Matplotlib: examples/matplotlib/matplotlib.ipynb
-        - Scikit-Learn: examples/scikit-learn/sklearn.ipynb
-        - Polars: examples/polars/polars.ipynb
+        - Python:
+            - Python: examples/python/python.ipynb
+            - Numpy: examples/numpy/numpy.ipynb
+            - Pandas: examples/pandas/pandas.ipynb
+            - Matplotlib: examples/matplotlib/matplotlib.ipynb
+            - Scikit-Learn: examples/scikit-learn/sklearn.ipynb
+            - Polars: examples/polars/polars.ipynb
+        - R:
+            - Dplyr: examples/dplyr/dplyr.ipynb
+            - Ggplot2: examples/ggplot2/ggplot2.ipynb
+            - Forcats: examples/forcats/forcats.ipynb