I am preparing a datastudio report. The data studio report consists of the following columns below:
As seen in the picture it captures metric data at a particular time.
The date range is set as the end_time
The X axis will represent the end_time column and the breakdown dimension will be InstanceName column and I am preparing to show it as line chart.
There are 2 metrics readops and writeops columns.
I need to represent these 2 metrics as 2 different lines in the same chart so that the read and write operation fluctuations for the instance at a particular time can be easily viewed.
I am not sure on how to represent this on data studio. If it is 1 metrics, i know it is straight forward. I can set instancename as breakdown dimension and end_time as dimension and date range is set to end_time and can represent it. But to represent the 2 metrics as 2 different lines for a particular Instance, with the time range on x axis, i don't know as I am very new to datastudio. I want to do it without drill-down. similar to the picture below which I got from google cloud console which shows ReadBytes the Big Triangle and the smaller one at the bottom in red for WriteBytes
Can anyone help me? Thanks
There are two approaches based on how the the charts need to be displayed:
1) Filter Control
If the aim is to only display 2 lines (2 Metrics):
readops
writeops
While allowing the user to select the required InstanceName, then a Filter Control (optionally with a default selection) could be used.
The chart would be set up using:
Dimension: end_time
Metric #1: readops
Metric #2: writeops
Editable Google Data Studio Report and a GIF to expand on the above:
2) Multiple Metrics
If the objective is to display a line for each of the InstanceName values as well as both the Metrics (readops and writeops), then the below approach would be one way.
Currently, when using a Breakdown Dimension, Google Data Studio charts (such as a Time Series chart) support a single metric.
Using the Data Set below, based on the screenshot in the question (Editable Google Sheets):
One approach is to create and use multiple CASE statements at the Data Source; for example:
readops_dum
CASE
WHEN REGEXP_MATCH(InstanceName, "(dum)") THEN readops
ELSE NULL
END
writeops_dum
CASE
WHEN REGEXP_MATCH(InstanceName, "(dum)") THEN writeops
ELSE NULL
END
etc...
Editable Google Data Studio Data Source and an image to elaborate:
A Chart could then be created with end_time as the Dimension and using the newly created Metrics; Editable Google Data Studio Report and an image to visualise with a Time Series chart:
Related
I have a column chart in SSRS that looks like the attached. This shows the percentage of calls across the day. I have been asked to also show the hours on the chart where there were zero calls.
I have tried adding this into my dataset in SQL however this turned almost 200 rows into 20000 rows (due to the period of time looked at which can sometimes be years)
I have tried using the lookup function to add a time dimension into my report, and then join the dataset onto this time dimension - I then found out that I can't use SUM in a lookup function so I am a bit stuck. Does anyone have any workarounds for this?
Value expression is "=Sum(Fields!Calls.Value) / Sum(Fields!Calls.Value, "UsageSummary")"
What chart looks like now (wrong)
What chart should look like (with all hours included)
Have you tried clicking on the horizontal axis properties
On the Axis Options update the Interval from Auto to 1
I have a Google Data Studio dashboard that loads really slowly since it's using Google Sheets as a Data Source. I migrated the same data to BigQuery then used it as my new Data Source however, I came across an issue:
When creating a calculated field, the new calculated field is not tagged as Auto in the Default Aggregation I still have to select Sum as a Default Aggregation. This causes problems in my report. Also, it's not Blue, where normal fields are shown as green, and calculated fields are shown as Blue.
When I was using Google Sheets, I could do direct computations in the calculated fields.
Example:
Handle Time = Talk Time / Number of calls
I just create a calculated field called Handle Time, then put the formula Talk Time / Number of calls
Now, I need to create 3 separate Calculated Fields:
Calculated Field 1: SUM(Talk Time)
Calculated Field 2: SUM(Number of calls)
Calculated Field 3: Calculated Field 1 / Calculated Field 2
This is even though I already tagged them as Sum in the Default Aggregation. Can anyone help me understand what I'm doing wrong?
Solution:
A single calculated field will do the trick; the aggregation of each respective field needs to be stated explicitly in the calculated field:
SUM(Talk Time) / SUM(Number of calls)
Why the Change?
To elaborate, the change was part of the Data Modeling update on 31st October 2020; one of the benefits of explicitly stating the aggregation is that it offers greater flexibility with the ability to aggregate fields as required when creating a calculated field, for example, something like:
MAX(Talk Time) - MIN(Talk Time) / COUNT(Handle Time) * AVG(Handle Time) / COUNT_DISTINCT(Text_Field1) * COUNT(Text_Field2)
Speed
Regarding speed, where the Data Set is large and static (daily updates are fine and real time data is not required), then a Data Extract would be a good option.
Dimensions are shown as green, metrics are shown as blue. Data imported from other sources, particularly from Google sheets tend to show metrics as green but when you add them to a chart or table they get recognised as metrics and change to blue.
I am trying to create a line chart counting all the optins per date, however the only dimension that is will allow me to choose from have to be a date column on my source. The problem with this is it only chooses from dates that are populated in those fields with an optin date.
For example: I have 5 optins on 1/1/2019, 0 on 1/2/2019, and 3 on 1/3/2019
If I use this series and want to include another metric, 1/2/2019 will not show anything for that other metric
I just want a standard everyday series that counts every metric on a given day. The google analytics connection source has a generic Date dimension but I can not figure out how it was done
Ive tried creating a new column with everydate on it and trying to use that as a dimension without any luck
You should be able to use a Time Series graph (of which there are 3 types) instead of a Line graph.
A Time Series will keep the days where no data is available unlike the Line Graph which only presents labels for those which have values in the data.
I have an excel spreadsheet from a Questionnaire. One of the questions was in checkbox format. The result of this question are held in a single column, and where the user has selected more that one answer, the answers are separated by comma's.
What devices do you own? Mobile, PC, Laptop, Tablet
So in a single cell I get 'Mobile,PC' when these two are selected.
I am using Google Data Studio to visualise the data, but stuck on how to create a graph that shows all the values individually.
At the minute I get a combination for every value. So a value of 1 for 'Mobile,PC' rather than a value for 1 'PC' and '1'Mobile.
Google Data Studio doesn't allow countif statements, so a bit lost.
I have tried to TRIM, COUNIF and REGEX but none have worked.
Count(REGEXP_MATCH(Device, "PC"))
I'm a bit lost on this, tried so many combinations. If someone can put me on the right track I would be very grateful
I don't think you'll be able to achieve that with a pie chart without changing your data source first as it needs one dimension (Device) and then one count metric which your data doesn't seem to support.
You could create 4 metrics like
SUM(
CASE
WHEN REGEXP_MATCH(Device, "PC") then 1
ELSE 0
END
)
And put them into a Stacked bar / column chart. You might need to create a dimension that has a single value to avoid having multiple bars/columns.
I am developing an SSRS 2008 report which contains a number of simple charts. On the x axis I have the 12 months of this year - Jan 2009 thru December 2009. On the Y is an integer value ranging from 0 to 100 in increments of 10. I am plotting the number of times an issue occurred per month. So January could have a value of 10, February 30, etc. etc.
I would like to have a horizontal line/series that is constant and shows the yearly average for 2008. So, say the average was 30 issues per month in 2008, I would like for that line to be shown in my chart. Basically, I want to draw a straight line across the chart for that value... I can see how to add more complex series, but this seemingly simple task is getting the better of me.
Doe anyone have any idea how this could be accomplished?
Thanks in advance,
Jason
[Update] To add some further details, I am already pulling the average for each row in my dataset and have it set up as its own series. However, rather than plotting a line, this approach plots individual points for each month. While this is close to what I want, I need to join the dots so to speak. The chart is of the Error Bar (Range) variety.
Can you use a column / line hybrid chart? If so then add a constant or dynamic target value to the chart:
Design the chart.
On the Data tab in the Chart Properties dialog box, add a new data value (for example, Target).
Set the target value (see the example in Figure 9 on link this uses a constant target value of 100000 across all categories but you can do it dynamically too). Make sure to use an expression starting with = (equals). Otherwise, the value is not interpreted as a numeric value.
See the example on the MS charts page at http://msdn.microsoft.com/en-us/library/aa964128.aspx
Add the yearly average to each row in the underlying the query. Add data series on just that value.
I managed to solve this issue myself.
As I mentioned, I was using an Error Bar graph. Right-clicking on the series of interest, I was able to change the graph type for that particular series - essentially leaving me with a chart with multiple graphs in it...particularly simple if you know where to look - which i did not! Thanks everyone for your suggestions.