1. Removed charts which could be obsolete in future. Added reference …

…to crontab folder from em-public dashboard. 2. Added note to update once issue e-mission#1048 is checked in.  3. Removed instructions to use mongodb directly.

docs/dev/publicdashboard/Working_with_public_dashboard.md

@@ -70,7 +70,8 @@ services:
 This will load the dataset saved in the MongoDB as `Stage_database`.
 
 What if we want to load a different dataset than staging, and test for a different program/study.
-Let us consider the example below:
+Let us consider the example below: 
+(Note: This might need to updated once https://github.com/e-mission/e-mission-docs/issues/1048 issue is checked-in.)
 ```
 services:
     notebook-server:
@@ -103,13 +104,8 @@ Execution of notebooks
 ```
 $ (emission) root@06f07def2c0e:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/update_mappings.py mapping_dictionaries.ipynb
 $ (emission) root@06f07def2c0e:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py generic_metrics.ipynb default
-$ (emission) root@06f07def2c0e:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py generic_metrics_sensed.ipynb default
-$ (emission) root@06f07def2c0e:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py generic_timeseries.ipynb default
-$ (emission) root@06f07def2c0e:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py mode_specific_metrics.ipynb default
-$ (emission) root@06f07def2c0e:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py mode_specific_timeseries.ipynb default
-$ (emission) root@06f07def2c0e:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py energy_calculations.ipynb default
 ```
-The above script will generate all the charts from all the notebooks. Execute one notebook script at a time.
+Refer to additional charts from https://github.com/e-mission/em-public-dashboard/blob/main/viz_scripts/docker/crontab
 
 Then go to http://localhost:3274/
 
@@ -121,18 +117,7 @@ and test.
 Note: Make sure the Year and Month parameter for the executing notebook is not None. If it's set to None, it will not generate the charts.
 
 # Launch and explore the database
-```
-$ docker-compose -f docker-compose.yml  up 
-$ docker ps
-$ docker exec -it em-public-dashboard-db-1 mongo
-$ show dbs
-$ use <database_name>
-$ show collections
-```
-
-Most useful collection: `Stage_analysis_timeseries`
 
-Better way to explore and modify database:
 - Through the Server code
 
 ```