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#122 fix readme's command ( pip install -r requirements.txt is not working ) #123

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#122 fix readme's command ( pip install -r requirements.txt is not working ) #123

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12 changes: 6 additions & 6 deletions README.md
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Expand Up @@ -37,32 +37,32 @@ Create a new dashboard
----------------------

If you added support for a new protocol in Packetbeat or a module in
Metricbeat, it would be nice to create a dedicated Kibana dashboard to
Metricbeat, it would be nice to create a dedicated Kibana dashboard to
visualize your data.
The Kibana dashboards are saved in a special index in Elasticsearch. By default
it's `.kibana`, but it can be configured to anything else.

The first step in creating your own Kibana dashboard is to get a fresh
installation of the Kibana dashboards/visualizations/searches/index patterns,
that you can use as a starting point for your own dashboard. You can use the
`load.sh` script on Unix and `load.ps1` on Windows for loading the sample
that you can use as a starting point for your own dashboard. You can use the
`load.sh` script on Unix and `load.ps1` on Windows for loading the sample
dashboards/visualizations/searches/index patterns in Kibana. The usage of this
script is described above.

Note: Make sure you are using the latest Kibana version to create and download
the dashboards.

Then, you can create the dashboard together with the necessary
visualizations and searches in Kibana. After the dashboard is ready, you can download
all the dashboards using the `save/kibana_dump.py` script.
visualizations and searches in Kibana. After the dashboard is ready, you can download
all the dashboards using the `save/kibana_dump.py` script.

Before executing the save/kibana_dump.py script, make sure you have python and virtualenv
installed:

# Prepare the environment
virtualenv env
. env/bin/activate
pip install -r requirements.txt
pip install -r save/requirements.txt

# go to save directory
cd save
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