Kibana is a dataviz tool that helps you to use data files with high volume of rows, and lets you make your own graphics. Next to the kibana loading step, you can use 3 differents menus (included in Kibana) to be able to play with your data: Discover, Visualise and Dashboard.
Today, we propose to get more insights on Discover menu in Kibana.
Just after you uploaded your file in kibana, you surely created an index with our drop to Kibana feature. To get more insights about creating an Index in Kibana, please don’t mind folowing our video tutorials, and in case you want to understand better CSV file construction, please read our great what is a csv files article gathering useful information.
Once you get the index, you’ll land in another great space that looks like this:
Don’t worry if you get nothing on the screen… This is just because, by default Kibana only shows up last 15 minutes collected data. Then, you may have to think about updating timeline as shown below. We suggest to select 15 last years, you’ll be able to filter again, if you wish so, by selecting the appropriate zone in the data histogram where your data stands 😉
It’s much more visible after that little sweep! Now let’s focus on the different elements that Discover offers us.
The different zones of Discover in Kibana
They let you search your data and easily find results with a specific term, as you would do in google or select specific timeline (as shown before), or on a specific field like df_adress ou df_ID in our example.
This space shows up your data after you imported that in Kibana. The Histogram show your data on a timeline. Rows below represents contenat of each data in each row inside your files.
In case you run filetres a timeline update, Discover menu in kibana will update/display corresponding row results. Histogram will also update under the same statement. This way, you’ll get rapid and visible results over your search among thousand rows
This dipslays the header of your file. Every columns nside your file should be avaikable there as a field. Fields can be under differents types : either string, date, number, or geo_point. If you clik on one of them, you’ll see more details with most frequent values. That may helps you go further in data.
It lets you go from one another menu among Discover, Visualize, Dashboard and your account parameters.
Discover menu in Kibana in action
Lets make an example to show interactions beetwen filters and graphic dataviz of your files. In that logic we’ll just update chosen timeline from a “3 months until now” period to the 1st of October 2020 to 8th of October 2020 period.
You can see that data updates and gives expected results in 1st to 8th of October 2020. Hits number going from 1 505 to 441 hits. That means 441 rows belong to the chosen timeline.