This week we are celebrating Your Week @ PHD. That means you get to read the excel tips shared by other readers of this blog.
Unhide all the sheets using simple macro by Kat
My single favourite simple macro ever – to fill in the gap that Excel leaves. Unhiding -all- hidden tabs in a workbook at once. I install it in the personal.xls workbook, and save myself hours of clicking.
Sub Unhide_All_Sheets() Dim wsSheet As Worksheet For Each wsSheet In ActiveWorkbook.Worksheets wsSheet.Visible = xlSheetVisible Next wsSheet End Sub
A KPI Dashboard using VBA and Charts by David
After learning a whole lot over the past few months from this site and others (so many I can’t even remember right now – but I will make a list soon of where I found things), I constructed a KPI spreadsheet (see link below). This spreadsheet allows our institution to create standardized KPI reports for university consumption.
I attempted to keep the colors muted even though I chose school colors (from the publishing guide) for the actual graph.
Features
The chart is dynamically configured in numerous ways. The user can control the title (via cell entry on left), color of bars (via color of data labels), number format (via number format of the first data cell), and the display and printing of the trend line. The KPI name comes from the sheet, and the vertical axis is determined based on the data (I find the maximum value and divide by 4).
To-dos
I would like the user to be able to enter new descriptive items via a form with the option to include variables (KPI_Name, KPI_Category, etc.). I would like the user to be able to include more than one chart on a page (some KPIs actually need to track parts of the whole).
I am sure there are more features I will think of as time goes on but I wanted to let others see this and hopefully be able to incorporate it into their/your own work. The file is available here: http://dl.getdropbox.com/u/749941/KPIs_PHD.xlsm. Hopefully I will be starting a blog soon to talk more about what we are doing here with excel and other products.
Using Find Dialog to Solve a Tricky Problem by Christy Lee
Introduction:
On a project I recently worked, we crunched several hundred (about 400) rows of data. The creator of the original document did not have any way to foresee the life this project would take on! So…there was only one field for ‘Name’ which contained the names of the team members for the corresponding step of the overall project.
Challenge:
As the project progressed, an individual may be added to multiple task teams. So, your name might be one of three in four records, one of ten in fifteen records, etc. Also, the team members could be added on the fly…you see how the complications arise quickly! Oh, and the project was run on three continents in four countries….
Each person was responsible for updating their pertinent information. Because of the complexity of that one name cell, filtering and sorting became cumbersome.
Solution:
Hide all rows except for the header row.
Do a search on your name (fortunately, in about three dozen team members, we had no duplicate last names!)
When the search results dialog comes up, select all of the records (select first, shift+select last)
Go to Format>Row>Show.
Whoo Hoo! There are all (and ONLY) the records that belong to you.
Array Formulas to the Rescue by Rajinikanth
This is the formula to find out Employees first login time and last logout time for the day.
Example : Suppose employee table is starting form Column B
then the table looks like :
Name Code
1001 rajinikanth
1002 srinivas
1003 vardhan
and the Login Data is starting from Column G in a sheet
Then The formula for First login :
{=1/MAX((B8=$G$7:$G$15)*($H$7:$H$15<>0)*(1/$H$7:$H$15))}
and the formula for Last Logout :
{=MAX(($G$7:$G$15=B7)*($I$7:$I$15))}
A Big Warm Lovely Heartfelt Thank you to Kat, David, Christy and Rajinikanth. You are truly wonderful.
Be a part of the “your week” @ PHD
Come, be part of the your week celebrations at PHD. Click here to submit your excel tips. Your tips will be shared with all our readers during this week (May 11-15, 2009)
PS: If you have already shared your tips and not seeing them in this post, don’t worry. I am posting only a few everyday, so yours will be in the next 3 posts.
18 Responses to “Best Charts to Compare Actual Values with Targets – What is your take?”
Great post. I can't vote, though, because the answer I want to put down is "it depends". As with all visualisations, you've got to take into account your audience, your purpose, technical skills, where it will be viewed, etc.
I'm with Andy: It depends. Some I would use, some I might use, some I won't touch with a barge pole.
Naturally I have comments 🙂
The dial gauge, though familiar, is less easy to read than a linear type of chart (thermometer or bullet). It's really no better than the traffic lights, because all it can really tell you is which category the point falls in: red, yellow, or green.
By the same token, pie charts are so familiar, people don't know they can't read them. Remember how long it takes kids to learn to read an analog clock?
Bullet charts don't show trends.
With any of the charts that have a filled component and a marker or ine component, it makes more sense to use the filled component (area/ column) for target, and the lines or markers for actual.
[...] Best Charts to Compare Actual values with Targets (or Budgets … [...]
I voted for #6 even though I agree with the other comments that it depends.
The majority of the votes are for the #2, thermometer chart. I still have yet to understand what happens when you are above plan/goal, which was brought up in yesterday's post.
Also, I agree with Jon in that it would be better to flip the series and make the filled part the target or goal and the line or marker the actual.
I am also a fan of using text when appropriate if the data is among other metrics in a type of dashboard. Calling it out by saying actual and % achievement is a good option.
Another "it depends" vote. Are you just looking at one or are you comparing a number of targets with actuals? You didn't include a text box. The problem with sentences is that they can get lost in a page of gray text. A text box can call attention to the numbers and line them up effectively.
I'm with Jon: "Some I would use, some I might use, some I won’t touch with a barge pole" and I'm surprised that some of your readers voted for the last group.
Jon says:
With any of the charts that have a filled component and a marker or line component, it makes more sense to use the filled component (area/ column) for target, and the lines or markers for actual.
Why does this make more sense? I like 6 the way it is, although I would use a heavy dash for the plan/target marker.
"It depends" is also my take. What I usually try to drill into my clients dashboard design is the fu ndamental difference between spot results (am I on target for this month) and long term trends.. I always try to create 3 different set of graphs to represent real perormance:
- spot results vs objectives
- cumulative results vs objectives
- long-term trend (moving average) mostly) to see where we're going
[...] Best Charts to Compare Actual Values with Targets – What is your take? (tags: excel charts) [...]
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Jon says:
With any of the charts that have a filled component and a marker or line component, it makes more sense to use the filled component (area/ column) for target, and the lines or markers for actual.
Why does this make more sense? I like 6 the way it is, although I would use a heavy dash for the plan/target marker.
I totally agree, Bob. I would normally favour a line for the target and a column for the actual, you can see quite easily then which columns break through the line, then.
[...] best charts to compare actual values with targets — den Status mal anders zeigen, z. B. als Tacho [...]
Thermometer charts: "Not appropriate when actual values exceed targets" - this is easily solved by making the "mercury" portion a different color from the border, then you can clearly see where the expected range ends and the actual values keep going.
People seem to knock gauges quite a bit in dashboarding, but trying to show comparison of realtime data between operating sites and targets for each site can easily be done with a bank of gauges that have the optimal operating points at 12 o'clock.
The human eye is great at pattern stripping, and any deviation of a gauge from the expected 12 position will quickly register with an operator and attract his attention. Using a colour background, or meter edge, will also indicate the sensitivity of a particular site.
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I am wondering how will the plotting work, for some of the targets which may have been achieved before time. E.g. for the month of Jul the target was 226 and the actual was 219. So the chart will show a deficit in meeting the target by 7 points but what if this 7 may have been completed earlier in month of June. So ideally it not a deficit.