dash-sample-apps
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- distributions.py
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- df_HI_lat_lon.csv
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- df_IN_lat_lon.csv
- df_KS_lat_lon.csv
- df_KY_lat_lon.csv
- df_LA_lat_lon.csv
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- df_NY_lat_lon.csv
- df_OH_lat_lon.csv
- df_OK_lat_lon.csv
- df_OR_lat_lon.csv
- df_PA_lat_lon.csv
- df_RI_lat_lon.csv
- df_SC_lat_lon.csv
- df_SD_lat_lon.csv
- df_TN_lat_lon.csv
- df_TX_lat_lon.csv
- df_UT_lat_lon.csv
- df_VA_lat_lon.csv
- df_VT_lat_lon.csv
- df_WA_lat_lon.csv
- df_WI_lat_lon.csv
- df_WV_lat_lon.csv
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- app.py
- data_entry.db
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- requirements.txt
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- actualSeasonal.csv
- adjustedSales.csv
- chinaSpr.csv
- energyShare.csv
- epxEquity.csv
- globalMarket.csv
- growthGdp.csv
- industrailProd.csv
- oecdCommersial.csv
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- production2015.csv
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- local_plots.py
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- wordcloud_matplotlib.py
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- DroneCanalFestivalDetectionData.csv
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- app.py
- demo.jpg
- README.md
- requirements.txt
- app.py
- demo.jpg
- README.md
- requirements.txt
- app.py
- demo.jpg
- README.md
- requirements.txt
- requirements.txt
- apt-packages
- explorer.py
- Procfile
- README.md
- requirements.txt
- runtime.txt
- .deployignore
- .gitattributes
- .gitignore
- app.json
- Aptfile
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- deploy
- init.R
- LICENSE
- predeploy.py
- README.md
- requirements.txt
- runtime.txt
# Installation Guide
1. Get the code
git clone https://github.com/plotly/dash-sample-apps
Downloads the entire project code from GitHub to your computer.
cd dash-sample-apps
Moves into the project folder you just downloaded.
2. Docker
Easy RecommendedPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
β οΈ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
docker build -f apps/dash-mapd-demo/docker/Dockerfile -t dash-sample-apps .
Builds a runnable image based on the Dockerfile.
docker run -p 8080:80 dash-sample-apps
Runs the built image as an actual container.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
3. Node.js
EasyPrerequisites
β οΈ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
cd apps/dash-port-analytics/gulp
This project's files live in a subfolder, so move into it first.
npm install
Downloads and installs the libraries listed in package.json.
npm start
Starts the development/run server.
After running the command, open the address shown in the terminal (usually something like http://localhost:3000) in your browser.
4. Python
EasyPrerequisites
python -m venv venv
Runs the Python script (or module).
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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