I am trying to create a chart showing the 10 highest-performing teams according to their "proportion of target achieved" score.
My dataset comprises every day worked by every individual in my organisation. The data is grouped in a stored procedure by month, team, job role, area of the organisation...
My SSRS report takes this data and sums it at a report level, based on a half-dozen parameters (mainly to the above groups).
The data is presented via a table, showing (for a given person/group/category) the hours worked, actual contact time (time with clients), expected contact time (time they're meant to spend with clients), and the proportion of their target they are achieving (actual contact time / expected contact time). All of this is reported for each of the last 6 months.
I.e.
I wanted to create a bar chart showing the 10 teams with the highest proportion of target achieved values. This variable is calculated in SSRS in order to allow for the data to be more flexible.
SSRS wouldn't let me use that calculation in a chart filter, so I added a denserank (called TeamOrder) for the teams in the stored procedure.
This is where the issue arises.
TeamOrder is used in the filter, and set to <= 10. 10 teams are displayed in the graph, but not the 10 that have values of TeamOrder equal to 1-10. The top couple are right, but in 10th position, for example, it's displaying the 32nd-best team.
Weirdly, when I set the filter to TeamOrder = [value], then it displays the one (correct) team (including the correct number 10 when TeamOrder = 10).
I'm at a complete loss as to what might be happening; any help would be enormously appreciated.
Related
EDITED (AGAIN): added tables and two screenshots (one of Google Sheets Chart and another showing mutliple issues in DS) to help demonstrate what I am seeing.
Short Version: I have created a parameter to help me score trending topics based on the date range filter. However, I want to be able to show a range of dates' worth of data, not just a specific date's worth of data. In theory, I could make the parameter a checklist with a huge range, but that doesn't seem efficient or sustainable down the road.
Disclaimer: I am about a week into SQL and Data Studio.
Long Version: We are tracking trends over time from a specific customer data set. I'd like to make it so that when a user adjusts the time range, various topics’ " score " depends on the end date. For instance, every time the topic "Recession" is brought up, it is given a score. That score is weighted based on when it was said. I was using 365 as the highest possible score so that anything over a year is null. So if "Recession" is referenced twice, once a week ago and once today, the avg score for recession is 361.5, but if a reference is made to the topic "Talent Management" twice today, then it would have a score of 365, and so forth across a growing list of 50+ topics pertaining to 50+ specific communities we are tracking the topics across.
Here is an example:
topics
groups
entry_date
recession
A
2022-11-24
talent mgt
A
2022-11-24
recession
B
2022-11-22
economy
A
2022-11-22
recession
C
2022-11-15
talent mgt
B
2022-11-8
This score would then affect the bubble size on a chart where the Y-axis is the count of unique groups referencing the topics, and an x-axis based on the range of average scores.
The goal is to be able to see which topics are the most common across groups, which ones are emerging trends, and which ones are dated trends by having a range slider. That way users (colleagues in other departments) can play with the date range "see" the bubbles moving in location and size.
example of static chart in google sheets
I could then also use the same data and fields to measure the percentage of topics being discussed across groups based on the weighted averages against a time range.
In Goolge Sheets I can do this with an xLookUp to a tab that has a column of 0-365 and then next to it a column of 365-0 (on a tab called 'scales') and then a cell on a sheet that you can put any date as the point in time, and it affects all the scores, tables, charts, etc. (I used. =xlookup((point_in_time - entry_date), 'scales'!A:A, 'scales'!B:B, "0")
In the data studios custom SQL I used:
SELECT
*
FROM
`qRaw_data'
where
DATE(_entry_dates_) between
parse_date('%Y%m%d', #DS_START_DATE) and
parse_date('%Y%m%d', #DS_END_DATE)
AND
#pit_date_diff = date_diff(
parse_date('%Y%m%d', #ds_end_date),
_entry_dates_,
day
)
Then I created a field that is time_score of:
avg((Pit_Date_Diff-365)*(-1))
I have been googling and youtubing like crazy and think I either have to come up with a way to override the #pit_date_diff default value OR I need to use a CASE WHEN in the custom query where each time the date_diff is 1 then 365, and so on, but when I try that I get all sorts of errors.
I would like below to include all topics averaged based on all entry dates, not just those that correlate with the inputted parameter field.
currently, I can only show specific entry dates due to the parameter
I appreciate any and all help. I am a week into using data studio and am going cross-eyed Googling and YouTubing things. There is likely a better logical path to accomplish all this. Hoping for a holiday miracle.
Thanks in advance.
It turns out this was much easier than I realized... I added an AS syntax to create a column and then created a field that created the same metrics that I had in the Google Sheets:
SELECT
*,
(date_diff(parse_date('%Y%m%d', #ds_end_date), _entry_dates_,day)) AS q_time_diff
FROM
`qRaw_data`
Then the score field is: (avg(q_time_diff)-365)*(-1)
In case that helps any others in the future... ¯\(ツ)/¯
Happy Holidays!
I am new to Qlikview and after several failed attempts I have to ask for some guidance regarding charts in Qlikview. I want to create Line chart which will have:
One dimension – time period of one month broke down by days in it
One expression – Number of created tasks per day
Second expression – Number of closed tasks per day
Third expression – Number of open tasks per day
This is very basic example and I couldn’t find solution for this, and to be honest I think I don’t understand how I should setup my time period dimension and expression. Each time when I try to introduce more then one expression things go south. Maybe its because I have multiple dates or my dimension is wrong.
Here is my simple data:
http://pastebin.com/Lv0CFQPm
I have been reading about helper tables like Master Callendar or “Date Island” but I couldn’t grasp it. I have tried to follow guide from here: https://community.qlik.com/docs/DOC-8642 but that only worked for one date (for me at least).
How should I setup dimension and expression on my chart, so I can count the ID field if Created Date matches one from dimension and Status is appropriate?
I have personal edition so I am unable to open qwv files from other authors.
Thank you in advance, kind regards!
My solution to this would be to change from a single line per Call with associated dates to a concatenated list of Call Events with a single date each. i.e. each Call will have a creation event and a resolution event. This is how I achieve that. (I turned your data into a spreadsheet but the concept is the same for any data source.)
Calls:
LOAD Type,
Id,
Priority,
'New' as Status,
date(floor(Created)) as [Date],
time(Created) as [Time]
FROM
[Calls.xlsx]
(ooxml, embedded labels, table is Sheet1) where Created>0;
LOAD Type,
Id,
Priority,
Status,
date(floor(Resolved)) as [Date],
time(Resolved) as [Time]
FROM
[Calls.xlsx]
(ooxml, embedded labels, table is Sheet1) where Resolved>0;
Key concepts here are allowing QlikView's auto-conatenate to do it's job by making the field-names of both load statements exactly the same, including capitalisation. The second is splitting the timestamp into a Date and a time. This allows you to have a dimension of Date only and group the events for the day. (In big data sets the resource saving is also significant.) The third is creating the dummy 'New' status for each event on the day of it's creation date.
With just this data and these expressions
Created = count(if(Status='New',Id))
Resolved = count(if(Status='Resolved',Id))
and then
Created-Resolved
all with full accumulation ticked for Open (to give you a running total rather than a daily total which might go negative and look odd) you could draw this graph.
For extra completeness you could add this to the code section to fill up your dates and create the Master Calendar you spoke of. There are many other ways of achieving this
MINMAX:
load floor(num(min([Date]))) as MINTRANS,
floor(num(max([Date]))) as MAXTRANS
Resident Calls;
let zDateMin=FieldValue('MINTRANS',1);
let zDateMax=FieldValue('MAXTRANS',1);
//complete calendar
Dates:
LOAD
Date($(zDateMin) + IterNo() - 1, '$(DateFormat)') as [Date]
AUTOGENERATE 1
WHILE $(zDateMin)+IterNo()-1<= $(zDateMax);
Then you could draw this chart. Don't forget to turn Suppress Zero Values on the Presentation tab off.
But my suggestion would be to use a combo rather than line chart so that the calls per day are shown as discrete buckets (Bars) but the running total of Open calls is a line
We have a system that records data to an SQL Server DB captured from field equipment every minute. This data is used for a number of purposes, one of which is for charting in reports via SSRS.
The issue is that with such a high volume of data, when a report is run for period of for example 3 months, the volume of data returned obviously causes excessive report rendering times.
I've been thinking of finding a way of dynamically reducing the amount of data returned, based on the start and end time periods chosen. Something along the lines of a sliding scale where from the duration between the start and end period, I can apply different levels of filtering so that where larger periods are chosen, more filtering occurs while for smaller periods less or no filtering occurs.
There is still a need to be able to produce higher resolution (as in more data points returned) reports for troubleshooting purposes.
For example:
Scenario 1:
User is executing a report for a period of 3 months. Result set returned by the query is reduced for performance reasons without adversely affecting what information the user wants to see (the chart is still representative of the changes over time).
Scenario 2:
User executes the report for a period of 1 hour, in order to look for potential indicator(s) of problems with field devices while troubleshooting the system. For this short time period, no filtering is applied.
My first thought was to use a modulo operation on the primary key of the data (which is an identity field), whereby the divisor is chosen depending on the difference between the start and end dates.
For example, something like if the difference between the start and end dates for the report execution period is 5 weeks, choose a divisor of 5 and apply a mod to the PK, selecting where the result is equal to zero.
I would love to get feedback as to whether this sounds like a valid approach or whether there is a better way to do this.
Thanks.
i have a database used at work for evaluating calls, the database is somewhat dated and originally created on Access XP. Once evaluated these calls are given a score out of 5 which is entered along with other data (such as date, employee name, etc) on a form. I have the reports set up so they generate when you enter the employee name and then the start of a date period and the end of a date period, the report will then generate and show the entries made between those 2 dates. i am trying to include a section on the report which shows an average of the call score for the employee for the period chosen. I understand this may be pretty simple but i'm struggling! cheers, Kris
If you want to work out group calculations on reports, you can either put them in the group header/footer, or report header/footer (for calculations over the whole report).
In this case, placing a textbox with something like =AVG([CallScore]) as the control source in the Report Footer should work.
This page should explain more about using aggregate functions in reports: http://office.microsoft.com/en-gb/access-help/summing-in-reports-HA001122444.aspx
I am currently trying to implement the following scenario on Tabular Mode SSAS, appreciate your support.
We have a fact table of Transactions that is the linked to the customer dimension, and we have a measure called Frequency that shows the number of times the user used his card during the selected period (The fact table is also linked to Date Dimension). What we need to do is create a dimension that would have the frequency groups as follows (For example, 1 to 5, 5 to 10 , 10 to 15 and 15 & Above). The problem here is that I am unable to link the Fact table to this dimension becuase the link between them would be a calculated measure.
Any thoughts?
Thanks and Best Regards
Omar Sultan
If you want to link the fact to a bucket dimension, you are going to have to specify the time granularity. I would suggest that you decide one or more useful periods (day, week, month) and create a facts (or several) to bucket your data at the appropriate grain.
This solution will lose flexibility from your original request, as the user will not be able to dynamically select the time period for the bucket, however they will gain from being able to compare fixed time periods to identify trends over time.