I created a tracker of learning hours in order to conduct an experiment.
For the purpose of the ticket, there is a time series that does not sum correctly data in Pivot table.
Some other tickets on Stack Overflow mention how to correctly sum. Here's what I tried:
considered blank spaces > the Pivot does not consider them anymore, yet the issue persist.
data type & format > the whole column is set for data type short date
labeling > I use to copy-paste the category for each learning and I double checked if there was no typo in them.
Here's how the file works. There are 3 sheet in my Excel file. The core of it is "Data" where I do track the time spent for each learning / exercise. The columns marked in red are the ones used for the next Pivot Table.
These information are consolidated in another sheet, called SuperLearner Review. I use this one to display overall learning hours by type and category. Numeric outputs here are looked up from Data (or calculated accordingly).
After several checks, I cannot retrieve the issue. All I know is that for February data are not tracked correctly.
Originally I attributed either to wrong data labeling or format, but I can manually see what is the real sum of learning done in February:
In the data-series those hours seem not to display. This is what the Pivot table returns instead:
Whereas, for the consolidated information (coming from the same source) does not seem there are problems in calculation:
When I tried to cancel and build up again the same Pivot Table, the same error occur. So I am not getting out of this wrong calculation. Therefore it must not be a problem of calculation, rather than Excel does not retrieve some data entries at one point.
What would you recommend? Thanks for the help.
I think this problem, when solved by creating additional charts with offsets, is easy. I want to cut out the middle man and not use offsets (unless they are useful to the answer). I have data for daily cohorts and I know specific information about their behavior 1 day later, 2 days, 3 days ect.
Now it is rather easy to make a waterfall chart of day by day activity like so...
What I want to do is skip this step (directly above, the waterfall chart) in hopes of shrinking my current workbook by a substantial amount. You can imagine having simply 1 year of data across multiple channels measuring even 1 aspect of behaviors can account for a lot of data and pivot charts. Also, btw, I have the top chart as a pivot thus allowing this to be hands off when calculating what I am looking for.
What I seek - I look to further construct groups of days as other cohorts to examine (for example, say, 1/1 - 1/5) and see what their activity has been in a cumulative fashion since then. To be more specific, I want a table that will show cohort 1/1-1/5's activity in the date range 1/1-1/5 (11) and then their activity from 1/1-1/9 (24, an additional 13 "behavior points" summed).
So far, as I said, my current solution involves the "blue arrow" schematic where an additional table is constructed and I can sum on, essentially, rectangles build by using OFFSET on sell ranges with the MATCH function. I am stumped with how to go about this without the additional charts.
Thanks!
VBA would better for this, but use this formula in C30:
=IFERROR(SUM(SUMIF(OFFSET(OFFSET($B$1,$A30-MIN($B$2:$B$10),MIN($B$2:$B$10)-$A30+DAY(C$28)),SEQUENCE($B30-$A30+1),IF(COLUMN(OFFSET($B$1,$A30-MIN($B$2:$B$10),MIN($B$2:$B$10)-$A30+DAY(C$28)))-SEQUENCE($B30-$A30+1,,0)>COLUMN($B$1),0-SEQUENCE($B30-$A30+1,,0),COLUMN($B$1)-COLUMN(OFFSET($B$1,$A30-MIN($B$2:$B$10),MIN($B$2:$B$10)-$A30+DAY(C$28)))+1),1,IF(COLUMN(OFFSET($B$1,$A30-MIN($B$2:$B$10),MIN($B$2:$B$10)-$A30+DAY(C$28)))-SEQUENCE($B30-$A30+1,,0)<=COLUMN($B$1),(C$29-C$28+1)-SEQUENCE($B30-$A30+1,,-(COLUMN(OFFSET($B$1,$A30-MIN($B$2:$B$10),MIN($B$2:$B$10)-$A30+DAY(C$28)))-COLUMN($B$1)-1)),C$29-C$28+1)),"<>")),0)
and this in D30:
=C30+SUM(SUMIF(OFFSET(OFFSET($B$1,$A30-MIN($B$2:$B$10),MIN($B$2:$B$10)-$A30+DAY(D$28)),SEQUENCE($B30-$A30+1),IF(COLUMN(OFFSET($B$1,$A30-MIN($B$2:$B$10),MIN($B$2:$B$10)-$A30+DAY(D$28)))-SEQUENCE($B30-$A30+1,,0)>COLUMN($B$1),0-SEQUENCE($B30-$A30+1,,0),COLUMN($B$1)-COLUMN(OFFSET($B$1,$A30-MIN($B$2:$B$10),MIN($B$2:$B$10)-$A30+DAY(D$28)))+1),1,IF(COLUMN(OFFSET($B$1,$A30-MIN($B$2:$B$10),MIN($B$2:$B$10)-$A30+DAY(D$28)))-SEQUENCE($B30-$A30+1,,0)<=COLUMN($B$1),(D$29-D$28+1)-SEQUENCE($B30-$A30+1,,-(COLUMN(OFFSET($B$1,$A30-MIN($B$2:$B$10),MIN($B$2:$B$10)-$A30+DAY(D$28)))-COLUMN($B$1)-1)),D$29-D$28+1)),"<>"))
And copy both down.
If one does not have the dynamic Array formula SEQUENCE() then replace all the SEQUENCE($B30-$A30+1) and SEQUENCE($B30-$A30+1,,0) with ROW($ZZ$1:INDEX($ZZ:$ZZ,$B30-$A30+1)) and (ROW($ZZ$1:INDEX($ZZ:$ZZ,$B30-$A30+1))-1) Respectively, and use Ctrl-Shift-Enter instead of Enter when exiting edit mode.
I was able to collaborate on a solution. I am told that it will be highly inefficient at scale but it gets the job done. It ss less automation-friendly but can be formulated to capture data not currently present on a, say, a pivot table that you call to update later by extending the area that the formula works on.
Formula in in I31:
=SUM(IF(($C$1:$O$1+OFFSET($B$2,$G31-$B$2,0):OFFSET($B$2,$H31-$B$2,0))>=I$29,OFFSET($C$2,$G31-$B$2,0):OFFSET($O$2,$H31-$B$2,0)))-SUM(IF(($C$1:$O$1+OFFSET($B$2,$G31-$B$2,0):OFFSET($B$2,$H31-$B$2,0))>I$30,OFFSET($C$2,$G31-$B$2,0):OFFSET($O$2,$H31-$B$2,0)))
I'm analyzing a set of clinical data in Excel that includes
the level of care that a variety of individuals have received
the date of the receipt of that care
the date that the care ended
The question I'm trying to answer in a report is how many individuals that have received a higher level of care connected to a lower level within 14 days.
I've organized the data in such a way that by creating a pivot table, it organizes the data nicely. However, in this dataset individuals have had multiple instances of each level of care that may or may not be connected within 14 days to a lower level of care.
Granted, the dataset is small enough to count this out by hand, but I foresee having to do this many times in the future with possibly much larger datasets.
As such, I'm wondering if there's a way to automate this process. I can almost conceptualize a nested if statement to flag the instances prior to developing the pivot table, and then count these flags as follows:
as everything is already 2 way sorted by individual and then by date, I might be able to do if(levelofcare<>levelofcare of the cell above it, if(date of admission - date of discharge of the cell above it <=14,1),0 and then generate the pivot table and sum that column.
However, I feel this would be rather inaccurate considering the data and that sometimes, the "level of care" field isn't a standardized string.
I would add columns to the data that calculate what you need to show in the pivot table.
Probably a column that shows individuals that received a higher level of care (an if statement that gives a yes or no answer). A column that shows if an individual received a lower level within 14 days if the previous column is yes.
These can then be added to the pivot.
Hypothetical answer as no data was provided in the question - happy to edit if data provided.
I've done some Googling for each of my issues but haven't found exactly the results as I wanted. Things I need to be done doesn’t probably include any macros/VBA skills, just basic knowledge of Excel.
Now to my spreadsheet. I'm a Dota 2 player and I like statistics. I like it that much that I'd like to keep track of my achievements and results. Only problem is that the game tracker sucks and to get great information in web you have to pay for it, so I decided it's time for me to create my own spreadsheet to track my skills.
I don't know which place is the best to share my spreadsheet but I uploaded it to Estonian uploading host, link is here. I will also provide with pictures so you don't have to download anything.
This is what it looks like in general:
Problem number 1: The left table, or column has 1000 rows. In web design it's possible to make elements fixed depending on the scroll, I'd like to use similar feature here. If the table gets scrolled down, the right table (area with games, bonus and graph) will get scrolled down with it.
Problem number 2: Average MMR. I'd like to show average MMR after each entry depending on the first entries. Right now there's avg MMR for J4:J8. The calculation for J8 looks like this: =AVERAGE(C4:C8). For J7 it looks like this: =AVERAGE(C4:C7). I'd like to do this for all my 1000 rows, but I don't want to type it out. If I try to drag down from the corner, it will continue with C5:C8, C6:C9 etc (so it changes the starting point)
Problem number 3: Under longestGame there's currently Date and Hero. This should show the Date and Hero of which the longest game occurred. I tried to do this with LOOKUP function but it required table to be in ascending order, which I don't want. For current, 44,22, there should be Storm Spirit and 14.06.2015.
Problem number 4: Graph. I'd like to display three series on graph - MMR, average MMR and game length (time). The problem is, that MMR and average MMR will be in the numbers on 3000-7000 but the game length will only be probably in timeframe 20:00-120:00. Maybe it's possible to add two sets of values to the Y axis or maybe set Time series maximum 200:00 and minimum 0:00 and create graph according to this. I'm really stupid making graphs and I haven't figured out a clever way yet.
Problem number 5: Graph again. Right now I have to set the series for the graph. I've currently set it to C4:C54 (so 50 rows). I'd like it to move around a bit and by that I mean that if there happens to be C55-th game then the graph would start from C5:C55 and move along (so it'll count 50 last games).
I'm in a benevolent mood so rather than downvoting your question, because it is not really suitable for this forum I'm going to give you some hints and guidance. The numbers below correspond to the problems in your question.
Excel permits more than one window to be used on the same workbook -
so one window can show the data and one the summary.
Find out about absolute and relative cell addressing - its a valuable bit of knowledge for anyone serious about Excel and it will be of use in solving your problem.
Find out about the MATCH function. You can use this to find out which row of your table contains the longest game, shortest game, max MMR, min MMR by matching an element from the summary on the right (cols M onward) against the appropriate column table on the left. The find out about the INDEX function - this can be used to pull the values in the columns for Hero and Date which correspond to a specific row (such as the row containing the longest game, shortest game, etc). Search INDEX MATCH and find out why using these two functions in combination is often preferred to using the VLOOKUP function
Persevere - there are graph options available to do what you want and the only way to really learn is to go through the pain of trying them out, failing and working at it until you succeed.
Set up an area of worksheet to hold the 50*3 table of data for your graphs. Find out about the COUNT function and think how it might be of use in determining which rows of the data table map to the 50 rows of graph data. Then think about how to populate the graph data table using one of the functions mentioned above. Incidentally, C4:C54 is actually 51 rows, not 50.
Morning guys,
I'm hoping that one (or more) of you can help me.
I have been tasked with creating a dashboard which needs to display trends and have a dynamic frontsheet, preferably with drop-down or data forms so as to update a chart / graph.
The information itself is incredibly limited - the scope of the document is tracking a value (0-4) assigned to a staff member's ability to fulfill a task, e.g. 'Quotes - 4', 'Cancellation - 2' and so on. So the metrics are limited to:
Month (a worksheet for each month of the year and one front for the dashboard)
Team (Presently 6 teams, but this is likely to increase over time, so hopefully the solution facilitates relatively easy incorporation of new teams)
Employee (Self explanatory)
Task (Presently 25, but as above - subject to change)
Score (the 0-4 value referred to above)
So as you can see, it's a very simple dataset. The sheets are presently set out with six grids with data validation lists for determining Team and Score (dropdowns for easy data input), with the Task being pre-written and the employee entered manually by the user.
What I'm hoping to do is have a frontsheet with dynamic tables that update accordingly when a dropdown and/or data form is changed. The key focus is on getting the staff members up to 4s for all tasks, so ultimately, the charts will display trends for the individual teams (one chart for each team - 6 charts) on a month-on-month basis and also a dynamic table which can reflect specific information (e.g. employee performance on a specific month, or number of '3s' achieved by a specific team to date).
I've read a reasonable amount on this, but seem to have overwhelmed myself with the sheer amount of options. However, the options can be narrowed given that I'm working on a large corporate network that doesn't really facilitate downloads (so add-ins or anything extraneous to Excel 2007 'out-the-box' isn't an option) and preferably without the use of VBA (1. I'm quite a novice insofar as VBA, 2. Easy distribution and maintainence of the document might be marred by VBA?), though I appreciate that my requirements may dictate VBA to be essential.
Does anyone have any suggestions around how best to proceed creation of this dashboard?
Any and all help is appreciated and I apologise as a newbie if I've contravened any conventions around forum etiquette.
Thank you all for your time,
Rob
There are a couple of things that you need to consider in a task such as this:
a) what sort of output do you require?
b) how are you going to manage the data?
For a) I'd separate it further into the basics of what's required (time series charts of employee and/or team performances [how will team performance be measured? average, % achieving 4, or ?]) and then the bells and whistles of drop-downs. Focus on the basics, the other stuff first the whizzy stuff can come later. Getting b) right is vital - you are going to be extracting subsets of the data to build the charts you want to display. Get b) wrong and you'll just create a horrible task for yourself.
In your position I would consider re-organising the data into the form of a table. Excel's help defines what is meant by a table, but in essence it is a list of your observations where each observation simply comprises the score for a particular month/team/employee/task combination (so each observation comprises 5 values). The observations are arranged as successive rows of the table with the first row being the header row which will contain suitable labels such as "Month", "Team", "Employee", "Task", "Score". The real advantage of using a table such as this is that Excel provides a heap of in-built facilities for manipulating them - look up the help for Sort and Filter on the Data tab. In your case there is an even more compelling reason for using a table - you can use the Pivot Table and Pivot Chart facilities for analysing and displaying the data. If you have not used these before some time and effort spent learning about them will pay dividends. Once your data is organised and you know how to use Pivot Tables and Charts you should be able to prototype sum output very quickly.
If you do decide to organise your data as a table you can still keep a nice friendly looking grid of 6 team "tables" (different from Excel's use of the word) as a data entry facility to enter each month's scores by employee and task. You will need to find a way of getting each month's data from the data entry "tables" to the main data table. (Easiest way would be to use a bit of spare worksheet under the data entry tables to reproduce the entered data as a series of observation rows and then use Paste Special Values to append these rows to the end of the main table of observations. You can use VBA to automate the copy/paste operation if you want, you just need to figure out a way of identifying how may observations are currently in the main table and precisely where you want the paste to end up - COUNT() or COUNTA() is a useful friend here). Main problem to avoid (whether automated or not) is to avoid appending same entered data more than once to main data table.
Have a look at http://www.mediafire.com/download/x64swkp689k10a1/DataEntrytoTable.xlsx for a simple example of some of the above thoughts