Elasticsearch Official Twitter Page Analytics With Kibana4

Lots of things happening at ELK stack these days and finally we got one of the most awaiting release from elasticsearch.. Yes i am talking about Kibana 4.

I have been using Kibana for more than a year, and thought to give a try to the new kibana and trust me, Rashid Khan has baked it with so many ingredients, It will take you to a whole new world. ;)

There is no pain anymore to run kibana in any web server, It now ships with its own webserver and uses Node.js on the backend—installation binaries are provided for Linux, Windows, and Mac OS.

There are so many unbelievable feature which you can take a look at here: What's New in Kibana 4

Just to let you know kibana 4 works only with elasticsearch latest version i.e. 1.4.4 and not below of that. So be ready to upgrade your cluster. :D :D

I thought to do a unique kind of analytics with Kibana 4 and what could be more unique than doing analytics of elasticsearch twitter account. I downloaded the latest version of elasticsearch (Elasticsearch 1.4.4) and kibana 4  and then wrote few line of Java code using Twitter4J to fetch all the tweets of @elasticsearch Twitter Page and then started exploring Kibana 4 features and graphs to build some awesome dashboards. I hope these graphs gonna bring some smile on the face of elasticsearch people. :)

So the first analysis i did is :
Finding how many tweets have been done on Elasticsearch Page? 
Finding how many tweets Elasticsearch have Retweeted out of the total tweets on it's page? 
Finding how many replies elasticsearch have done so far?

The result was bit surprising.. And here is what i got..

The next things i was curious to find out tweet trends per month in last 5 years on elasticsearch page and it definitely shows the efforts elasticsearch is making through its twitter account:

Now below visualisation gonna blow your mind :D It is an area chart with following description:

So, on top of this chart i created a visualization to find out top 10 Hashtags used at elasticsearch page and here goes my findings: (Please note that since i have not applied analyzer on the field, the Hashtags "Elasticsearch" and "elasticsearch" has been aggregated in different buckets)

Using the same Area chart, i created one more visualization to show the tweet density per month on elasticsearch page in last 5 years:

The next graph is even more interesting which shows the top 10 mentioned handles at the elasticsearch page along with their count on the Y-Axis and it goes like this:
1. @elasticsearch 2. @lhawthorn 3. @kimchy 4. @dadoonet 5. @clintongormley
6. @spinscale 7. @jordansissel 8. @bleskes 9. @LivFroe and 10. @ZacharyTong

Here goes one more finding on a different kind of graph using the nested aggregation feature on kibana 4.
Yearly Retweets By Elasticsearch Page and the Top 5 Hashtags mentioned in Those Tweets

And the last one shows the screen names of top 10 people to whom @elasticsearch have replied at most, you can find those lucky names in below graph (A donut one ^_^)

This was just a preview.
Kibana 4 and elasticsearch version 1.4.4 has brought so much for you. Get it a try while they are hot and start exploring it. :):)

So this was my little effort to give some analytics back to the most powerful search engine of the world on it's own data. I hope the @elasticsearch will increase it's interaction on it's social media channels even more. :)

Comments are welcome. And if you like it then share it through your favourite social media channel..!!