Text edits, README.md update and bug fixes

README.md

@@ -26,7 +26,11 @@ A companion dashboard to visualize the results from the OSeMOSYS model is provid
 ### Installation instructions:
 
 1.	You should have installed a distribution of python 3.x in your computer. 
-2.	If you are using the Anaconda distribution of Python, install all python packages required listed in the `requirements.txt` file using the `conda install -c conda-forge --file requirements.txt` command in your computer bash or anaconda prompt. Alternatively, you can create a virtual environment using venv and install all required packages there using pip:
+2.	If you are using the Anaconda distribution of Python, install all python packages required listed in the `requirements.txt` 
+file using the `conda install -c conda-forge --file requirements.txt` command in your computer bash or anaconda prompt. 
+You can also create an environment with `conda create -n <name-of-environment> -c conda-forge --file requirements.txt`, 
+and activate it with `conda activate <name-of-environment>`.
+ Alternatively, you can create a virtual environment using venv and install all required packages there using pip:
 ```
 cd <path-to-the-dashboard-folder>
 pip install virtualenv
@@ -35,6 +39,6 @@ source venv/Scripts/activate
 pip install -r requirements.txt
 ``` 
 ### Running the dashboard:
-After installing all required packages, the dashboard can be run locally by running `python app.py` in your bash or anaconda prompt. A local host URL will be displayed as: http://127.0.0.1:8050/ copy it and paste it in your browser.
+After installing all required packages, the dashboard can be run locally by running `dashboard/python app.py` in your bash or anaconda prompt. A local host URL will be displayed as: http://127.0.0.1:8050/ copy it and paste it in your browser.
 
 To exit the app, type CTRL + C a couple of times in your bash.

dashboard/app.py

@@ -381,14 +381,14 @@ def get_general_graph(df, year_slider, variable, layout, title):
                 ),
                 html.Div(
                     [
-                        html.P('SDG7.1 - Access to electricity', style={'text-align': 'center', 'font-size': '12px'}),
+                        html.P('SDG7.1.1 - Access to electricity', style={'text-align': 'center', 'font-size': '12px'}),
                         daq.BooleanSwitch(id='el-access-switch', on=False)
                     ],
                     className="mini_container",
                 ),
                 html.Div(
                     [
-                        html.P('SDG7.1 - Access to clean cooking fuel', style={'text-align': 'center', 'font-size': '12px'}),
+                        html.P('SDG7.1.2 - Access to clean cooking fuel', style={'text-align': 'center', 'font-size': '12px'}),
                         daq.BooleanSwitch(id='clean-cooking-switch', on=False)
                     ],
                     className="mini_container",
@@ -561,7 +561,7 @@ def get_general_graph(df, year_slider, variable, layout, title):
             [
                 html.Div(
                     [
-                        html.H6('SDG7.3 - Access to electricity'),
+                        html.H6('SDG7.1.1 - Access to electricity'),
                         dcc.Graph(
                             id='el_access_graph',
                         ),
@@ -584,7 +584,7 @@ def get_general_graph(df, year_slider, variable, layout, title):
                 ),
                 html.Div(
                     [
-                        html.H6('SDG7.1 - Access to clean cooking fuel'),
+                        html.H6('SDG7.1.2 - Access to clean cooking fuel'),
                         dcc.Graph(
                             id='cooking_graph',
                         ),

requirements.txt

@@ -19,6 +19,5 @@ python-dateutil==2.8.0
 pytz==2019.2
 retrying==1.3.3
 six==1.12.0
-snakemake
 Werkzeug==0.15.6
 xlrd==1.2.0