Analyse and compare salaries by cohort.
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Analyse and compare salaries by cohort.
This tool is very simple to use. You can add as many people, in as many different cohorts, as you like. Each person can be added by entering their details in the inputs in the table footer and either clicking the Add button or hitting Enter. The cohort is simply a string identifying the cohort, for example by job title or year of starting.
You can delete a single person at a time or everyone at once. In the former case, if the inputs are empty when you choose to delete a person, they are filled in with that person's details. This makes it harder to accidentally lose data and means you can easily "edit" someone by deleting them, modifying the inputs and submitting them again. In the latter case a warning appears asking for confirmation, as this cannot be undone.
As you add and remove people, the comparison chart is automatically updated. The box plot shows five values: the central box is the upper and lower quartiles and the median; and the outer "fences" are set at the quartiles plus or minus 1.5 times the interquartile range. Any value outside the fences is considered an outlier and is shown separately.
If you're using this to look at real salary data, you don't want to be sharing it. All analysis happens in your local browser, nothing gets sent to any backend. If you'd prefer to run your own instance, though, you can easily do so either:
Without downloading the code:
Heroku - click the button below:
Any web server - download the build output from the latest release and serve it
Docker - deploy the image textbook/salary-stats
By downloading the code (e.g. clone the repository) you can deploy to:
Cloud Foundry - install the CF CLI and run cf push
Heroku - install the Heroku CLI and git push heroku main, but you
will need to manually set up the buildpacks on the app:
heroku buildpacks:clear
heroku buildpacks:add heroku/nodejs
heroku buildpacks:add https://github.com/heroku/heroku-buildpack-static
Any web server - build locally and serve the content of dist/
You will need to clone the repository. It uses the Angular CLI, so start off by running:
npm install -g @angular/cli
cd [repo directory]
npm install # or npm ci
From there you can run it for local testing/development with:
npm run start
and visit the site at http://localhost:4200. The following commands are also available:
npm run lint - run ESLint on the *.ts filesnpm run test - run the Karma unit tests (use test:watch to re-run every time something
changes)npm run e2e - run the Protractor end-to-end testsnpm run build - create the production build in dist/Both sets of tests are configured to run using the Chrome browser headlessly, so you won't see anything pop up on your screen.
Content type
Image
Digest
sha256:a6727ed2b…
Size
16.3 MB
Last updated
over 3 years ago
docker pull textbook/salary-stats