Added elasticsearch docs

README.md

@@ -40,8 +40,9 @@ Some of the benefits of using Tweep vs Twitter API:
 3. Go to `http://localhost:5601`, `Dev Tools`, copy&paste from `index.json` and select the **green arrow**; (do this once)
 4. Index some data: `python3.6 tweep.py --elasticsearch localhost:9200 -u whatsoever`;
 5. Back to Kibana's interface, `Management`, `Index Pattern`, `Create Index Pattern`, type `tweep`, choose `datestamp` as Time filter; (do this once)
-6. Go back to `Management`, `Saved Objects`, Import `dashboard.json` and than `visualization.json`; (do this once)
-7. Have fun.
+6. Have fun.
+
+Unfortunately, you cannot import visualizations and/or dashboards if you do not have the same index id, so under `elasticsearch` directory I wrote a how-to for a initial setup.
 
 If you have problems don't hesitate to write to the mainteiner [@pielco11](https://github.com/pielco11) or open an issue.
 Feel free to edit the dashboard and don't hesitate to share it if you want.

elasticsearch/README.md

+# Elasticsearch How To
+
+
+### Initial setup
+From now on I'm assuming that you:
+- indexed some data;
+- created the index.
+
+From the terminal open `elasticsearch` and when it's up and running open `kibana`. 
+Go to `http://localhost:5601` (default setting), go to `Discover` tab, choose `tweep` and you should see something like this:
+ 
+![first view]('some1.png')
+
+(if you are having some troubles with elasticsearch or kibana setup I suggest you to look into the corresponding documentation).
+
+### Visualizations setup
+So now we have some data to play with but we need to visualize it as we want some meaning.
+
+Here is a histogram based on daily activity:
+![daily]('daily.png')
+
+How to:
+- `Visulize` tab and than the blue `+` symbol;
+- `Vertical bar`;
+- select `tweep`;
+- `X-Axis`, Aggregation: Terms, Field: hour, Order By: Term, Order: Ascending, Size: 24;
+- click on `Add sub-buckets`, Split Series, Sub Aggregation: Terms, Field: username, Order By: Count, Order: Discending (or Ascending, depends on your needs), Size: 5 (for Top 5 or "worsts" 5);
+- click on the blue arrow.
+
+You can do the same for a weekly activity, just replace the settings for the X-Axis: `hour` and `Size: 24` with `day` and `Size: 7`.
+
+Pie Charts for top users: you can base this on `likes`, `retweets` and `replies`.
+
+Following the previous steps:
+- create a Pie chart;
+- Split Slices, Aggregation: Terms, Field: username;
+- etc...
+
+**Important**: write `_exists_:likes` or `_exists_:retweets` or `_exists_:replies` to filter out specific rank base.
+You should see something like this:
+![likes](likes.png)
+
+
+### Dashboard setup
+Pretty easy:
+- select `Dashboard` tab;
+- create new one;
+- add previously created visualizations.
+
+Now you have a basic setup. More is about to come.
+
+
+
+