message: Improve the data commit detailed steps and format
diff: @@ -183,12 +183,15 @@ detailed steps:
  ```bash
  git clone https://github.com/<username>/ginkgo-data.git $HOME/ginkgo_benchmark/ginkgo-data
  # send the benchmarked data to the ginkgo-data repository
  +# If needed, remove the old data so that no previous data is left.
  +# rm -r ${HOME}/ginkgo_benchmark/ginkgo-data/data/${SYSTEM_NAME}
  rsync -rtv ${ginkgo_build}/benchmark/results/ $HOME/ginkgo_benchmark/ginkgo-data/data/
  cd ${HOME}/ginkgo_benchmark/ginkgo-data/data/
  # The following updates the main `.json` files with the list of data.
  # Ensure a python 3 installation is available.
  ./build-list . > list.json
  ./agregate < list.json > agregate.json
  +./represent . > represent.json
  git config --local user.name "<Name>"
  git config --local user.email "<email>"
  git commit -am "Ginkgo benchmark ${BENCHMARK} of ${SYSTEM_NAME}..."
  @@ -203,8 +206,8 @@ and summarize (depending on the system name), or which data you want to select
  For the generating the plots in the GPE, here are the steps to go through:
  1. Access the GPE: https://ginkgo-project.github.io/gpe/
  2. Update data root URL, from
  - https://raw.githubusercontent.com/ginkgo-project/ginkgo-data/master/data to
  - https://raw.githubusercontent.com/<username>/ginkgo-data/<branch>/data
  + `https://raw.githubusercontent.com/ginkgo-project/ginkgo-data/master/data` to
  + `https://raw.githubusercontent.com/<username>/ginkgo-data/<branch>/data`
  3. Click on the arrow to load the data, select the `Result Summary` entry above.
  4. Click on `select an example` to choose a plotting script. Multiple scripts
  are available by default in different branches. You can use the `jsonata` and
  