I need to create a table (either pivot or normal) that combines data laid out in this grid:
The grid shows the count of items by their size, broken down by width on one axis and height on the other. I can't figure out a way to correlate the sizes with the data. The only way I have gotten it to work so far is by manually creating table rows one by one using formulas that reference each cell.
For example, the table should read like this:
Size
Count
3 X 3
0
3 X 4
0
3 X 6
20
I'm eventually going to use this table to create a Pareto chart, but if I can create the chart from this grid that would work too.
If you can get columns K and L below to show your distinct combinations, which shouldn't take more than several minutes, then the rest is pretty easy.
Column M is simply concatenating your results to show your data how you desire.
M2 formula: =CONCAT(K2, " x ", L2)
Then column N is using a formula against your data, referencing your values in columns K and L.
N2 formula: =INDEX($A$1:$H$8,MATCH(K2,$A$1:$H$1,0),MATCH(L2,$A$1:$A$8,0))
Drag 'em down and that's it.
Related
In Excel, I have two fields per row, a start date/time and an end date/time. I am looking to plot a histogram that shows how many of the rows' intervals contain the time on the x axis.
For example, some start and end times could be: [1,3], [3,4], [7,9], and [7,8]
And I want an output similar to:
x x x
x x x x x x x
1.2.3.4.5.6.7.8.9
How can this be done?
One way is to split your tuples (say with Text to Columns) into say ColumnsA:B, starting in Row3 (say to Row6) and series filling D1:L9 (or to suit) with D1 = 1 and an integer increase.
Then in D3 copied across to L3 and D3:L3 copied down to Row6:
=IF(AND(D$1>=$A3,D$1<=$B3),"X","")
and in D2 copied across to L2:
=COUNTIF(D3:D6,"X")
Then make a column chart (INSERT > Charts) from D1:L2.
However, I may have misunderstood because there is no particular time significance to the above - the data is just treated like integers.
I'm attempting to use pivot tables to interpolate a value from a large, multi variable table in excel. Is there any way to interpolate on a range within a Calculated Field? (Or any other good way to accieve this).
What I'm trying to do -
I have the following table, and I'm trying to interpolate the Delta for each combination of Alpha and Beta at a Gamma of 5. With this simplified data, the answer would 15 for each set Alpha/Beta. In my real data, the Gammas and Deltas are not always nice even arrays, though they are sorted properly.
Alpha Beta Gamma Delta
A X 0 10
A X 10 20
A Y 0 10
A Y 10 20
B X 0 10
B X 10 20
B Y 0 10
B Y 10 20
What I've tried
Formula -> Calculated Field -> Formula: = INTERP(5,Gamma,Delta)
*Note that INTERP is a custom linear interpolater. yv = INTERP(xv,x,y).
Excel won't let me do that, so I was wondering if there is a better way? I could obviously just manualy pull the interpolation arrays, but my data has ~50 Alphas and ~50 Betas, so that would take a very long time. I've tried automatically pulling the arrays with a combination of INDEX and MATCH (using array formulas), and it works. The only problem is that it becomes so slow that every time the cells recalculate, it ties up the program for ~30 seconds or so.
Any ideas would be appreciated. I'm thinking of using pivot tables, but a regular formula solution or VBA solution would work too. Thanks!
I want to multiply x*y until x>=20, then multiply z that value and have the results displayed as two values, the multiple and multiple*z
The question behind the formula is, how many boxes of x capacity do I need to have a total capacity of 20 liters and how much does that cost.
x = volume of bottle
y = number of bottles in a box
z = price per box
This could be done very easily by hand, but I've been playing (with little effect) in excel for a while and would like a solution.
I hope that makes sense
I rather think what you would like is the formula provided by #Jeeped but for:
I want to multiply x*y until x>=20, then multiply z that value and have the results displayed as two values, the multiple and multiple*z
label two arrays from 1 to 20 for columns and rows as shown, populate V1 with the price per box and in B2:
=IF(AND($A2*B$1>20,A2>=20),"",$A2*B$1)
and in X2:
=IF(B2="","",$V$1*B2)
with both formulae copied across 19 columns and those two sets of 20 formulae then copied down 19 rows. The result should be similar to:
I'd like to accomplish the following task. There are three columns of data. Column A represents price, where the sum needs to be kept under $100,000. Column B represents a value. Column C represents a name tied to columns A & B.
Out of >100 rows of data, I need to find the highest 8 values in column B while keeping the sum of the prices in column A under $100,000. And then return the 8 names from column C.
Can this be accomplished?
EDIT:
I attempted the Solver solution w/ no luck. 200 rows looks to be the max w/ Solver, and that is what I'm using now. Here are the steps I've taken:
Create a column called rank RANK(B2,$B$2:$B$200) (used column D -- what is the purpose of this?)
Create a column called flag just put in zeroes (used column E)
Create 3 total cells total_price (=SUM(A2:A200)), total_value (=SUM(B2:B200)) and total_flag (=(E2:E200))
Use solver to minimize total_value (shouldn't this be maximize??)
Add constraints -Total_price<=100000 -Total_flag=8 -Flag cells are binary
Using Simplex LP, it simply changes the flags for the first 8 values. However, the total price for the first 8 values is >$100,000 ($140k). I've tried changing some options in the Solver Parameters as well as using different solving methods to no avail. I'd like to post an image of the parameter settings, but don't have enough "reputation".
EDIT #2:
The first 5 rows looks like this, price goes down to ~$6k at the bottom of the table.
Price Value Name Rank Flag
$22,538 42.81905675 Blow, Joe 1 0
$22,427 37.36240932 Doe, Jane 2 0
$17,158 34.12127693 Hall, Cliff 3 0
$16,625 33.97654031 Povich, John 4 0
$15,631 33.58212402 Cow, Holy 5 0
I'll give you the solver solution as a starting point. It involves the creation of some extra columns and total cells. Note solver is limited in the amount of cells it can handle but will work with 100 anyway.
Create a column called rank RANK(B2,$B$2:$B$100)
Create a column called flag just put in zeroes
Create 3 total cells total_price, total_value and total_flag
Use solver to minimize total_value
Add constraints
-Total_price<=100000
-Total_flag=8
-Flag cells are binary
This will flag the rows you want and you can grab the names however you want.
I have three columns. Column A consists of numbers, column B consists of bin ranges, and column C consists of number data relevant to the individual data in column A.
Using columns A and B, I created a frequency histogram where all the data in column A have been grouped into the bins of column B. I would like to calculate the average value of each bin using the data from column C (i.e., calculate a mean value for each bin using data from column C that is associated to each value (from column A) that made up each bin).
Can anybody help?
Thanks for the replies. Here is an example of the data (Unfortunately I can not paste in images):
Below are three columns with headers Jar Type (in volume (ml)), Cookies (he number of chocolate chip cookies in the jar), and Interval for bins (bins to count the jar types):
Jar type-cookies-intervals for bins
500 3 100
500 1 150
500 0.5 200
250 3 250
150 1 300
500 1 350
150 2 400
250 2 450
### # 500
Making a histogram of the frequency of jar types gives this grouping:
Bin-Frequency
100 0
150 2
200 0
250 2
300 0
350 0
400 0
450 0
500 4
More 0
Now what I am trying to do is to find out what is the mean number of cookies that can be found in each type of jar. For example, for the 500ml we know that there are 4x500ml jars, and that in each of the 500ml we have 3+1+0.5+1 = 5.5 cookies in total. the mean would be 1.735 cookies.
My issue is that I have 5000+ numbers that separate into 100 bins.
The question calls for a "wandering trace" of a scatterplot: the values of column A (plot them on the horizontal axis) are placed into bins, which therefore comprise vertical strips in the scatterplot. The values of column C (plotted on the vertical axis) are averaged within each strip. This technique smooths out and summarizes apparent trends in the scatterplot.
In this example with 100 records the original data are in black and computed values are in green. Here is the wandering trace of means:
The open circles plot column C (associated values) against column A (data) while the solid squares, connected with a dashed red trace, plot the bin means (column G) against the midpoints (column F).
Any statistical package will provide functions for grouping data and performing operations on those groups. Excel does this to a limited extent with its SUMIF and COUNTIF functions. To use them, create a column (D in the spreadsheet) showing the grouping factor. (That's a simple lookup in the sorted BINS vector using the VLOOKUP function with its "range" option set to true.) SUMIF computes sums by group factor and COUNTIF counts by group factor. Their ratios are the bin means.
Here is what the formulas look like:
Only three formulas were actually entered and then copied down as needed:
=VLOOKUP(A2, Bins, 1, TRUE) computes the group for the value in cell A2. Bins a name for the array $(-2,-3, \ldots, 3)$ in column B.
=AVERAGE(B3:B4) computes the midpoint of the first bin. This was used as a horizontal plotting position in the scatterplot.
=SUMIF(Bin,"="&B3,NewValues)/COUNTIF(Bin, "="&B3) is where all the work is done. Bin refers to the group codes in column D and NewValues refers to the associated values in column C. The tricky parts are the constructs "="&B3: these form a text value instructing the data to be grouped by comparison to the number in cell B3, which is the first endpoint. Because this is a formula, copying it down automatically updates the B3 to B4, then B5, etc.