

From Wikipedia:
Cohort analysis is a subset of behavioral analytics that takes the data from a given dataset (e.g. an eCommerce platform, web application, or online game) and rather than looking at all users as one unit, it breaks them into related groups for analysis. These related groups, or cohorts, usually share common characteristics or experiences within a defined time-span. Cohort analysis allows a company to “see patterns clearly across the life-cycle of a customer (or user), rather than slicing across all customers blindly without accounting for the natural cycle that a customer undergoes.
Show percetual values.bin/kibana-plugin install https://github.com/elo7/cohort/releases/download/5.3.0/cohort-5.3.0.zip
bin/kibana-plugin remove cohort
See the kibana contributing guide for instructions setting up your development environment. Once you have completed that, use the following npm tasks.
npm start
Start kibana and have it include this plugin
npm start -- --config kibana.yml
You can pass any argument that you would normally send to bin/kibana by putting them after -- when running npm start
npm run test:browser
Run the browser tests in a real web browser
npm run test:server
Run the server tests using mocha
For more information about any of these commands run npm run ${task} -- --help.
Remember that the plugin version in package.json must match Kibana version.
export VERSION=<kibana_version>
export GITHUB_TOKEN=<token_with_repo_access>
npm install
node_modules/release-it/bin/release.js $VERSION -e
node_modules/publish-release/bin/publish-release --token $GITHUB_TOKEN --owner elo7 --repo cohort --assets build/cohort-$VERSION.zip --tag $VERSION --name $VERSION --notes 'Release for Kibana '$VERSION''
$ claude mcp add cohort \
-- python -m otcore.mcp_server <graph>