Merge pull request #119 from stefmolin/conda-install-instructions

Add conda installation option.

README.md

@@ -15,6 +15,9 @@
       <a href="https://pypi.org/project/data-morph-ai/" target="_blank" rel="noopener noreferrer">
         <img alt="PyPI release" src="https://img.shields.io/pypi/v/data-morph-ai.svg">
       </a>
+      <a href="https://anaconda.org/conda-forge/data-morph-ai" target="_blank" rel="noopener noreferrer">
+        <img alt="conda-forge release" src="https://img.shields.io/conda/vn/conda-forge/data-morph-ai.svg">
+      </a>
       <a href="https://pypi.org/project/data-morph-ai/" target="_blank" rel="noopener noreferrer">
         <img alt="Supported Python Versions" src="https://img.shields.io/pypi/pyversions/data-morph-ai">
       </a>
@@ -60,16 +63,20 @@ Data Morph transforms an input dataset of 2D points into select shapes, while pr
   <br/>
 </div>
 
-Read more about the creation of Data Morph [here](https://medium.com/@stefaniemolin/data-morph-moving-beyond-the-datasaurus-dozen-156927b20f8c).
-
 ## Installation
 
-Data Morph can be installed with `pip`:
+Data Morph can be installed from PyPI using `pip`:
 
 ```console
 $ pip install data-morph-ai
 ```
 
+Alternatively, Data Morph can be installed with `conda` by specifying the `conda-forge` channel:
+
+```console
+$ conda install -c conda-forge data-morph-ai
+```
+
 ## Usage
 
 Once installed, Data Morph can be used on the command line or as an importable Python package. Below are some examples; be sure to check out the [documentation](https://stefmolin.github.io/data-morph) for more information.
@@ -144,6 +151,8 @@ This code has been altered by Stefanie Molin ([@stefmolin](https://github.com/st
 
 The paper and video can be found on the Autodesk Research website [here](https://www.research.autodesk.com/publications/same-stats-different-graphs-generating-datasets-with-varied-appearance-and-identical-statistics-through-simulated-annealing/). The version of the code placed on GitHub at [jmatejka/same-stats-different-graphs](https://github.com/jmatejka/same-stats-different-graphs), served as the starting point for the Data Morph code base, which is on GitHub at [stefmolin/data-morph](https://github.com/stefmolin/data-morph).
 
+Read more about the creation of Data Morph [here](https://medium.com/@stefaniemolin/data-morph-moving-beyond-the-datasaurus-dozen-156927b20f8c).
+
 ## Citations
 
 If you use this software, please cite both Data Morph (DOI: [10.5281/zenodo.7834197](https://doi.org/10.5281/zenodo.7834197)) and *[Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing](https://damassets.autodesk.net/content/dam/autodesk/research/publications-assets/pdf/same-stats-different-graphs.pdf)* by Justin Matejka and George Fitzmaurice (ACM CHI 2017).

docs/quickstart.rst

@@ -5,18 +5,17 @@ Quick Start Guide
 
 Installation
 ------------
-Data Morph can be installed with ``pip``:
+Data Morph can be installed from PyPI using ``pip``:
 
 .. code:: console
 
    $ pip install data-morph-ai
 
-..
-   You can also install with ``conda`` (coming soon):
+Alternatively, Data Morph can be installed with ``conda`` by specifying the ``conda-forge`` channel:
 
-   .. code:: console
+.. code:: console
 
-      $ conda install data-morph -c conda-forge
+   $ conda install -c conda-forge data-morph-ai
 
 .. USAGE INTRO