├── Interactive_dashboard.ipynb
├── README.md
├── climate_day.png
├── master.csv
└── requirements.txt


/README.md:
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 1 | # python-analytics-dashboard
 2 | ### Interactive data analytics visualization dashboard in Python using Panel
 3 | 
 4 | This repo contains code for the analytics project on my Youtube channel (https://www.youtube.com/channel/UCFh3meMAuaNoiNRYEHDME1A)
 5 | 
 6 | If you want to see all the dependencies for this project, please see requirements.txt file.
 7 | 
 8 | To serve the dashboard locally, use the command:
 9 | ```
10 | panel serve Interactive_dashboard.ipynb
11 | 
12 | ```
13 | To serve the dashboard locally on specific port, use the command:
14 | ```
15 | panel serve Interactive_dashboard.ipynb --port 8080 --allow-websocket-origin="*"
16 | 
17 | ```
18 | 
19 | 
20 | 
21 | ![aj_dashboard_github](https://user-images.githubusercontent.com/10542962/210042816-15cb9ba6-bf1b-4f60-adb1-43a6137c32c9.jpg)
22 | 


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/climate_day.png:
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https://raw.githubusercontent.com/atishjn/python-analytics-dashboard-panel/c3cc6de2c8300cffcb22d6a2aef150ab92e1ccca/climate_day.png


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/requirements.txt:
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1 | panel==1.1.5
2 | hvplot==0.8.2
3 | folium==0.12.1
4 | geopandas=0.7.0
5 | numpy==1.22.3
6 | pandas==1.4.2
7 | pytz==2022.1
8 | requests==2.27.1
9 | urllib3==1.26.8


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