Our file is now on Kibana, it is time for you to discover your data! So... click on the discover menu, yes it's a compass and sure you will make your way among large amount of data 🧭
Your data are listed through their index pattern name, sorted by alphabetical order. Select your file, for this example, we go on with our famous "velib" file.
We click on our velib file then... No Data available... 😏
But don't worry... The point is, by default, Kibana only displays the data collected 15 minutes ago. It means that if you have date in your file and you have chosen a time filter as explained in previous step "prepare your data", this field is the time range reference and you have to "expand" it to display all your data.
To expand, it's very simple and one basic and accurate feature to play with timeline. We suggest that you change the time range to 15 years to have a large view of your file but it's up your game to set the range you want....
Now you have all the data, you can crop with your mouse the timeline you wish to visualize. It is that simple to adjust the range!
You have all the records or hits concerned by the time range you chose available now. In our case, 1392 hits.
You can change the timeline scale. By default, it is on auto, means Kibana choose the better option to display the data but you can try to see your data weekly, which means that every bar chart accounts for one week.
All the file fields are displayed on the left frame. There is a sign before the filed name that precise the format type. There are 4 types: "#" means numbers, "t" text, the clock symbol means dates fomat (in our example it is the field df_duedate) and the earth means geolocation data.
You can make searches, add filters and/or quieries. For instance, we want to know how much velib stations were closed. We only have to select the field "Etat des stations" (velib station status), we select equals and all the available responses for this specific field are listed. We click on "closed". To see the results, click on the update button.
This is a perfect way to refine your analysis and get more focused visualizations. This is what we will show you in the next tutorial.
For now, you can check all these steps in action by watching this video.