Merge pull request #34 from Faye-yufan/EliWangC-patch-1

Fix the image links in README.md

.github/workflows/unit.yml

@@ -15,7 +15,6 @@ jobs:
         os: [ubuntu-latest, macos-latest, windows-latest]
         python-version:
           - "3.6"
-          - "3.7"
           - "3.8"
           - "3.9"
           - "3.10"

README.md

@@ -9,7 +9,7 @@
 <br/>
 <p align="center">
 <a href="https://github.com/Faye-yufan/analytics-dataset/">
-<img align="center" width=40% src="https://github.com/Faye-yufan/analytics-dataset/blob/edit-readme/docs/images/autogen-logo.png"></img>
+<img align="center" width=40% src="https://github.com/Faye-yufan/analytics-dataset/blob/main/docs/images/autogen-logo.png"></img>
 </a>
 </p>
 </div>
@@ -59,7 +59,7 @@ ad = AnalyticsDataframe(1000, 6)
 ad.predictor_matrix.head()
 ```
 
-![Initialized Predictor Matrix](https://github.com/Faye-yufan/analytics-dataset/blob/edit-readme/docs/images/initialized-predictor-matrix.png)
+![Initialized Predictor Matrix](https://github.com/Faye-yufan/analytics-dataset/blob/main/docs/images/initialized-predictor-matrix.png)
 
 The predictor matrix is initialized with all null values.
 Now let's update the predictors with some distributions:
@@ -70,23 +70,23 @@ for var in ['X1', 'X2', 'X3', 'X4', 'X5']:
 ad.update_predictor_categorical('X6', ["Red", "Yellow", "Blue"], [0.3, 0.4, 0.3])
 ```
 
-![Updated Predictor Matrix](https://github.com/Faye-yufan/analytics-dataset/blob/edit-readme/docs/images/updated-predictor-matrix.png)
+![Updated Predictor Matrix](https://github.com/Faye-yufan/analytics-dataset/blob/main/docs/images/updated-predictor-matrix.png)
 
 Once we have a dataframe desired and would like to visualize it, we can do:
 
 ```python
 df_visualization_bi(ad)
 ```
 
-![Bivariate Visualization Chart](https://github.com/Faye-yufan/analytics-dataset/blob/edit-readme/docs/images/bivariate-vis.png)
+![Bivariate Visualization Chart](https://github.com/Faye-yufan/analytics-dataset/blob/main/docs/images/bivariate-vis.png)
 
 
 # Next Steps
 We plan to integrate an user interface to the library, aiming to let users configure, manipulate, and view datasets more easily.
 
 
 ## Code Contributors
-![Contributors](https://github.com/Faye-yufan/analytics-dataset/blob/edit-readme/docs/images/contributors.png)
+![Contributors](https://github.com/Faye-yufan/analytics-dataset/blob/main/docs/images/contributors.png)
 
 ## License
 AutoGen is released under the MIT License.