https://github.com/data-engineering-community/data-engineering-salaries

A Streamlit app to explore data engineering salary data.
https://github.com/data-engineering-community/data-engineering-salaries

data data-engineering data-visualization database dataset salaries

Last synced: about 2 months ago
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A Streamlit app to explore data engineering salary data.

• Host: GitHub
• URL: https://github.com/data-engineering-community/data-engineering-salaries
• Owner: data-engineering-community
• License: mit
• Created: 2023-09-07T02:20:28.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-06T18:20:44.000Z (12 months ago)
• Last Synced: 2024-05-01T11:29:16.424Z (8 months ago)
• Topics: data, data-engineering, data-visualization, database, dataset, salaries
• Language: Python
• Homepage: https://dataengineering.wiki/Community/Salaries
• Size: 400 KB
• Stars: 24
• Watchers: 6
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Data Engineering Salaries

Each quarter we run a salary survey in our community to help increase transparency around salary and compensation for Data Engineering. This application is for exploring and analyzing the salary data.

Notes:

- This is a community project and it's early in development - contributions are welcome!

- Data from historical surveys is not yet available but we do plan to backfill it.

- [Streamlit Docs](https://docs.streamlit.io/)

- [Raw data](https://docs.google.com/spreadsheets/d/1GuEPkwjdICgJ31Ji3iUoarirZNDbPxQj_kf7fd4h4Ro/edit#gid=0)

## Requirements

- Docker

## Setup

- Download or clone the repository.

- Rename the example.secrets.toml (inside .streamlit folder) file to secrets.toml

- Open the **Raw Data** sheet, copy the full URL and paste it to the *secrets.toml* **public_gsheets_url** variable.

## Build

```bash

docker compose build

```

## Run

Run the streamlit container in detached mode

```bash

docker compose up -d

```

Start/Stop docker container

```bash

docker compose start

docker compose stop

```

In your browser, Go to `localhost:8501`