Hi I am new to SSRS and I am trying to create a line graph from the following dataset that has a single line and I am confused with how to achieve this simple task.
column1|column2|column3
1,11,35
If I try and add column 1-3 as values it will show nothing because it is trying to do a separate line per column.
I have tried making a temp table in sql and reformatting it as follows:
values
1
11
35
This works however this causes me to lose the axis names for each value.
How can I achieve a single line in my line graph as well as keeping the axis names?
You're correct in that you need separate rows (i.e. pivoting your data) to meet your chart requirements.
You can need to add another column to your new Dataset to have group names, too:
Just example names, obviously.
In your chart, add the Series and Category as required:
Now you have labels on the axis:
Related
I'm used to creating grouped bar plots like this:
new_data<-data%>%
mutate(new_variable=ifelse(variable<100, "Low", "High"))
ggplot(gap,aes(x=random_variable, fill=new_variable))+geom_bar()
Basically I create an additional column that distinguishes any numeric value in the original column I'm using for this example called "variable," and then using "ifelse" it knows how to categorize the new column called "new_variable"
However, can someone please help me separate the fill into three or more levels, for example:
<10, 10-19, 20-59, 50-100, >100
and then generate a grouped bar plot with multiple filled variables based on these numeric conditions?
I'm looking to compare two datasets with each other. In an ideal world, I'd like to have it to show a green item if the data matches between the two. I have created two different GDocs files to get the code out there, to prevent SO from dinging me on formatting.
The first dataset is from our program itself, it pulls everything from our application, and displays the information, based on company code. The second dataset is from an external source requiring validation. The main fields I am matching are "NPI Number (Type 1)" from DS1 vs. "NPI" from DS2. If there is a match to highlight in green the row from both sides of data.
Dataset 1
Dataset 2
You may need to use LookUp function and set that as a expression to fill the background color of a text box or row of a table
Sample Expression: =iif(Len(Lookup(Fields!NPI.Value, Fields!NPI.Value, Fields!ProviderName.Value, "DS1"))>0,"Green","Red")
I have created a sample here. Download entire content and run it.
I would like to create a report / line chart in Splunk which shows mulitple series of data points for weekly loads. Below is a simple example in a spreadsheet, but I am having difficulty finding if this is even possible in Splunk and if so, how it could be implemented. I am using
"| dbquery mydatabaseconn "Select load_date, source, sum(transactions) from mytable group by load_date, source "
as my Search.
This should be possible in Splunk. From the documentation chapter Data structure requirements for visualizations:
Column, line, and area charts are two-dimensional charts supporting
one or more series. They plot data on a Cartesian coordinate system,
working from tables that have at least two columns. In tables for
column, line, and area charts, the first column contains x-axis values
and subsequent columns contain y-axis values (each column represents a
series).
So your data will need to look something like:
2015-10-01, 25, 17
2015-10-01, 50, 45
etc.
where column 2 represents "Source 1" and column 3 represents "Source 2".
I have a report that in the values I have 2 data sets, and then grouping by a location to display the data. If I use the one location within 1 dataset then sure one of the averages I am displaying is perfect but the other is incorrect showing the same result across the board.
No down I need to join these together to get an outcome.
here is what I have:
Values:
1. =Avg(Fields!Rating.Value)
2. =((sum(Fields!Low_rating.Value,"MIN_MAX_CCR") + sum(Fields!Max_rating.Value, "MIN_MAX_CCR")) / 2 ) / Count(Fields!Case_ID.Value, "MIN_MAX_CCR")
Category Grouping:
1.=lookup(Fields!CaseID.Value,Fields!Case_ID.Value, Fields!location.Value,"MIN_MAX_CCR")
So the first field is from the current dataset, the second is from the MIN_MAX_CCR dataset, the location is from the first data set, and then getting the data set for the case_ID.
Now when I run this I get this lovely error:
System.Web.Services.Protocols.SoapException: The Group expression for the grouping ‘Chart8_CategoryGroup’ refers to the field ‘location’. Report item expressions can only refer to fields within the current dataset scope or, if inside an aggregate, the specified dataset scope. Letters in the names of fields must use the correct case.
at
I just cant see a way around this - I cant combine the data in one query due to the nature of the query differences.
You are trying to return location from MIN_MAX_CCR, but it doesnt exist.
I would read the documentation or intellisense hints on the Lookup function to learn how to write it correctly.
I have sales data that I'd like to plot on my chart. However, at a specific point in time, we had a change taking place I'd like to ensure is clearly visible in the chart, preferably by dividing the sales data (which is stored in a single SQL Server column) into two different chunks, which would allow me to then treat them as different data series.
I used to solve this in Excel by storing the post-event data in a different column (by simply dragging them to a different column), and thus I was able to treat them as a different series (the blue and green line in the chart below. The red and orange line are pre-event and post-event averages):
I'd like to reproduce this effect in SSRS, but am not sure how to tackle it. I've tried using an approach where I added two category groups, both pointing to the date-time column, and applying filters to them (one <= the cutoff date, the other >=).
I then added my sales data twice, with the idea I could somehow connect them to the individual category groups, but that does not seem possible.
Has anyone tried anything like this before, or would have a different approach to achieve what I'm trying to get?
Thanks!
I managed to get this to work, and figured I'd share how to do it.
My dataset contains a field called DATEKEY, which stores the date in the format YYYYMMDD. It's possible to use this in an expression and evaluate the date for a specific row. In case the expression evaluates to true, we display the value. If not, we display a blank string.
In case we want to show the values prior to the date, the expression would be:
=IIF(Fields!DATEKEY.Value <= 20130601, Avg(Fields!My_NUMBER.Value), "")
The second series can then be made by reversing the symbol:
=IIF(Fields!DATEKEY.Value >= 20130601, Avg(Fields!My_NUMBER.Value), "")
The graph then looks like this: