I am new to Kibana. Appreciate if somebody help me to solve this problem.
I want to show count of unique session Ids in a given period of time on the Dashboard.
I use Data Table but it shows aggregation at the session_id level.
session_ids count
----------- ------
123456 5
78012 12
56453423 2
I want to show on the dashboard the count of unique session_ids
Count = 3
Thanks,
Manoj
To build a dashboard like this in Kibana you should go to Visualize -> Select your Index -> Select a Vertical Bar chart and then in the visualize panel:
In the Y axis you want the unique count of session_ids (select the field where you stored the session_ids) and in the X axis we want a date histogram with your timefield.
Your Visualization will look something like below :
You may also do the same with data table. your visualization will look like :
Related
So I have a series of data that the EU would like visualized as a bar chart displaying the % variance to the prior month. They only want the last 4 months. Easy enough. My problem is being a perfectionist I'd like the 4 months displayed BUT you technically need 5 months of data pulled to get 4 months of data and the 5th month has no value displayed because there's nothing to compare it to. Filters of course drop the 5th month's value. I just want it to not show that fifth month.
There are several ways to solve your problem:
Use the Limit Displayed Rows option in the Visualization Settings:
Choose to Hide the First 1 rows with the data of the 5th month being the first row to hide it. Source: Looker docs
Create a custom calculation to exclude that specific row. The calculation should be something like diff_months(${data.created_month},now())!=5. The value should be Yes except for the month you want to exclude. Then click on the Settings wheel next to your calculation's name and select Hide "No"'s from Visualization and Hide from Visualization.
Romain
I have built a bar graph using tableau for the following data. How to add Total sales (120,150,200,180,140) on top of the each bar in tableau
[The following image has the data and bar graph that I was trying to build]
[1]: https://i.stack.imgur.com/NdA7s.png
Thanks for your help
Hope this helps.
I pivoted the data first to make it easier by working with a single measure.
Go to the data tab and select the Sale A and Sale B measures:
Then hit the dropdown and select Pivot.
Then your data will look like this
Next, you want to set the fields up like this so it mirrors your screenshot.
The SUM(Pivot Field Values) is a table calculation set up as percent of total calculated Table (down).
Then just duplicate your measure by holding Ctrl and dragging to Rows. Make it a label in the Marks section. This will add the total. You just have to play with the axis and format to get it into the place you want from here.
I have an index of data; for example Animals and all data under Animals has 10 fields but some has 9 fields; for example field:human.
In a pie graph, I want to show the count of all data with column human and count of data without the column human.
How can I do it within a pie graph?
In Split Slices Bucket, use the Terms Aggregation on human field and don't forget to tick Show missing values checkbox. You will get the required result in the pie chart. Check out the following screen for reference.
I read every possible forum and I couldn't find a specific answer. I'm new to Tableau and I need to perform what I thought would be a very simple task but I can't figure it out.
I need to create a chart with multiple lines plotted in the same graph. On one column, I have a timestamps in seconds (decimal). For each timestamp value, I have 4 columns associated (Temperature, Pressure, Humidity, Voltage) and I need to visualize how they trend over time. The data in Excel looks something like this (I simplified it for visualization purpose):
In Excel, it takes me less than seconds to obtain a chart that looks like this:
How can I replicate the same exact chart in Tableau? I would like someone to tell me exactly how each column should be formatted, if the data has to be a dimension or a measure and data type for each (string, number etc) and what steps to take in the chart. I would do this in Excel but the file is almost 1M rows and Excel keeps crashing.
drag & drop measure values & timestamp.
EDIT - first make Timestamp a dimension instead of a measure, and make sure it remains continuous instead of discrete. So you should not see the word SUM in front of Timestamp
remove no. of row & timestamp from the measure values.
uncheck aggregate measure.
EDIT this step is not usually needed or desirable. If you do have multiple recordings per Timestamp, you will want to select the best aggregation function for each measure, perhaps AVG or MEDIAN instead of SUM
select line from mark and drag measurement to color
If your X-axis is a Date Column, (i.e. You have a list of dates on your X-axis)
Drag your 'date column' to Columns and choose Month/Year/Week etc. and make it continuous
Drag 'Measure Names' to Filters and choose your Measures
Drag 'Measure Values' to Rows
Drag 'Measure Names' to the Colors section of the Marks card
In R, I would like to make an aesthetically pleasing visualization of the following data (modification of time series):
User ID | Date | Numeric_value | Category
-----------------------------------------
I would like to plot a change of a numeric value daily for different users in the same graph, in each of the categories. That is we split this original data to observe numeric value change in each of the categories per user daily. Looks like 3-dimensional plot.
Data specifics: there are 50 different categories in data. User has numeric value in 1-5 categories at a time, and overtime this subset of categories for a user changes. We want to observe level of numeric values in these categories per user, how it cycles, when new categories per user appear and disappear and with what numeric value level.
The number of users goes in 10000s. Dates period is about 100 days.
Same User ID does not necessary appear every day with values in at least one category, while on the other day this User ID might have values in several categories. If I plot an individual, for example, I want every day to be shown, even if there is no value in any of categories. I guess, when I deal with many User IDs I will have values and categories on every day.
I can consider simplifying the task, producing separate graphs. Naturally, it suggests different graphs by category (like example provided here), but I would not want that, because it is important to see a set of categories and respective values per user together.
I am not a pro with R, but considering data size, it also has to be a tool that can handle that size. Thanks for suggestions.