Every example of a time-series graph I've seen for Google Data Studio has a metric plotted per day. Is there any way to configure the granularity of the time axis (hour, month, etc)?
I want to show the count of events per hour throughout one day.
My columns are in bigquery as types datetime:TIMESTAMP and count:INTEGER
This is old, but its high in search results, and I found the correct answer here: https://www.en.advertisercommunity.com/t5/Data-Studio/Is-it-possible-to-aggregate-by-hour/td-p/1104815
Click the pencil next to the datasource, on your timestamp, click on the type column, and change "Date(YYYYMMDD" to another format, such as DATE HOUR("YYYYMMDDHH") to get hourly aggregation on the graphs.
Now, there seems to be a straightforward way:
Assuming that you have a Time Series plot, use Timestamp for your dimension and want to show hourly aggregated values.
Select the dimension's preferences:
Change Type to Date Hour
Edit: Based on new updates to Data Studio, #Brian's answer above is the correct one.
You can create a calculated field with the TODATE funciton. Example formula can be TODATE(source_field, 'SECONDS', '%Y%m%d%H'). Then this field should be marked as Date(YYYYMMDDHH) in the field editing screen.
There is a way to do this. If the data is broken up hour by hour, make the hour column(s) the Time Dimension. If all of the hour data isn't in a single column, you may want to reformat your data (manually or using a data prep source, your choice). Or you can go into the time setting of the field and change it into hours.
Related
I'm using Tableau Desktop 2022.0.4
This is what my data looks like (filtered by date):
I would like to be able to get the value associated with the max value of time for the selected date. In the example above will be 46.1 (associated with 15). Times of the day with their values can be different each day. The source is filtered by date.
I have tried using FIXED but I cannot understand completely how to use it or if it is the right thing to use for this situation.
Thank you for your help with this.
I seek your valuable support in finding a way to calculate change rate over time with tabular dataset in google data studio. Here is the link to the dataset: https://docs.google.com/spreadsheets/d/1To1n5JJA6uVkLMgwjKhghJgCJpFmtXkqNog4DzfoEbE/edit?usp=sharing
There are many rows with data stamp and have different categories and sub categories. I have created a change rate table manually based on which I want to create charts in google data studio. The charts will be from the raw tabular data not the separate change rate table that is built only for example purpose.
So the chart could be based on a main category (as in the sample) and can also be viewed as sub-category and show change rate over time between the dates.
The dates can sometimes be months or years. I am not very savy with advanced formulas or scripting but I am hopeful someone here would be able to help me out on this. I will be ever so grateful for this :)
I can only provide you with the quotient of datasets between two days. If you need different mappings between dates (day, months, years), for each the following steps have to be done:
generate a new field "yesterday" with: DATETIME_SUB(date, INTERVAL 1 day)
blend this dataset with itself, using as dimension "date" and "yesterday".
Further dimensions are your categories fields A and B.
As metric, you can use the count of the date field.
I'm using Google Sheets, and wanted to do a Data Studio "real time" report, based on the data in the sheet.
The sheet contains data from an issue management program.
My data in the sheet exactly:
Issue type (string), Work time (number), issue created at (date), issue resolved at (date)
I successfully created a pie chart that's dimension is: Issue type and metric: Work time
I can see that all the data in the pie chart.
Now my problem is:
I can't filter this chart with a date range.
The date is in a correct format: YYYYMMDD
but I can't describe to data studio, which date column it should filter when I set a date range in the control.
Is it possible some way to create two date range filter and one of them filter on created date, and the other one filter on resolved at date?
Thank all of you!
Roland
Check to make sure that the date range you're filtering by is the first date column from the left in your Sheet. If it's not, then Data Studio gets confused and doesn't work properly.
I'm not sure if you can have two different dates in two different filters. The graphs wouldn't know which filter to follow.
Finally I deleted the connection between the sheet and the report, and started again everything, and it works fine. I think I created the connection when the date was not in a correct format, I changed it after making the connection.
Is it possible to write a InfluxDB query that will give me the number of milliseconds since the last entry in a time series? I'd like to add a single-stat panel in Grafana displaying how old the data is.
I don't think it is possible since you are not able to query the time alone. A influxdb query needs at least one non-time field in a query. You could workaround that by double saving the time in a extra field which you are able to query alone.
But you still want to use now() - "the extra time field". But as far as I found out you also can't use now() inside grafana.
Update: there is a [Feature-Request] now on grafanas github. Make sure to vote it up so it gets implemented one day: https://github.com/grafana/grafana/issues/6710
Update 2: The feature got finaly implemented -> See my answer here: How to show "33 minutes ago" on Grafana dashboard with InfluxDB?
I am creating a Crystal Report which consist of a graph. As I am new to this, I might be having problem with a very simple issue.
I have a table which consist of date, actual_rev, hrs_available, etc.
Now what I need in the graph is for each date sum of the actual_rev/ sum of the hrs_available. And this should be done grouping of every single date so that graph shows bar of each date.
In the above example the revenue sums up to 2317.00 and the hours sums up to 15.33 , getting the revenue per hour 151.14, which should be shown in the graph for this date.