Can someone show how I would format/transform a ton of these types of data...
(single cell, one column)
| 040/2.5OZ |
| 001/20# |
| 012/2.8# |
To this
(three cells, three columns)
| 40 | 2.5 | OZ |
| 01 | 20 | # |
| 12 | 2.8 | # |
Thanks!
You can try below formula-
=TRANSPOSE(FILTERXML("<t><s>"&SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(A1,"/","</s><s>"),"#","</s><s>#"),"OZ","</s><s>OZ")&"</s></t>","//s"))
I would like to calculate the minimum of some values. Beside this I want to catch the value of the "Minimum" header.
Example:
+------------+----------+--------+------+--------+
| A | B | C | D | result |
+------------+----------+--------+------+--------+
| item | New York | Boston | Phil | --- |
| Apple | 3.4 | 4.2 | 2.3 | Phil |
| Peach | 2.2 | 2.5 | 1.7 | Phil |
| Strawberry | 5.5 | 5.1 | 7.3 | Boston |
+------------+----------+--------+------+--------+
I can find the MIN() in the row 'Apple'. But how can i manage to receive the column header as a result like Phil in this example?
You can use INDEX + AGGREGATE:
=INDEX($B$1:$D$1;AGGREGATE(14;6;(B2:D2=MIN(B2:D2))*COLUMN(B2:D2)-1;1))
I try to get a timeseries into tenserflow to work for an LSTM. I have 4 Files but I'm not sure how to get them together running together. The biggest problem I have is that my first dataset has 1 Data-point per year but 2 others monthly data which should be used for correlation to predict the first set. The 4th Dataset just has some Metadata like Species and Coordinates. Should I put them together somehow, if so how? Any advice in right direction would be nice.
I already looked to the timeseries documentation of tenserflow and also was trying to follow this guide: https://machinelearningmastery.com/multivariate-time-series-forecasting-lstms-keras/
but I struggle with getting the year and month data good together. I manage the data in R but run Tensorflow in Python. I'm more familiar with R in general.
Thank you all for being here!
Header samples of the Data structure:
File1.csv:
years | noaa-tree-2657 |noaa-tree-2658 |noaa-tree-2659 |noaa-tree-2662
1901 | 1.676948 | 1.305594 | 0.6756204 | 0.7149572
1902 | 1.562344 | 0.899884 | 0.5102933 | 0.6351094
1903 | 1.687270 | 1.354678 | 0.9899198 | 0.6158589
File2.csv:
noaa-tree-2657 |noaa-tree-2658 |noaa-tree-2659 |noaa-tree-2662 |noaa-tree-2664
1 6.41 | 1.85 | 0.33 | 8.61 | 6.07
2 10.45 | 3.20 | 0.38 | 8.58 | 5.30
3 10.81 | 4.30 | 1.50 | 9.34 | 8.50
File3.csv:
noaa-tree-2657 |noaa-tree-2658 |noaa-tree-2659 |noaa-tree-2662 |noaa-tree-2664
1 -0.3 | 11.0 | 10.1 | -22.4 | -15.1
2 -2.9 | 10.2 | 8.8 | -14.5 | -13.3
3 1.0 | 14.3 | 14.7 | -13.8 | -12.7
File4.csv:
noaa-tree-2657 |noaa-tree-2658 |noaa-tree-2659 |noaa-tree-2662 |noaa-tree-2664
1 QUPR | PSME | PSME | PCGL | THOC
2 280.28 | 249.65 | 250.08 | 298 | 280.72
3 39.1 | 31.45 | 32.72 | 56.55 | 48.47
Horrible title, but I couldn't find a way to describe what I'm trying to do concisely. This question was posed to me by a friend, and I'm usually competent in Excel, but in this case I am totally stumped.
Suppose I have the following data:
| A | B | C | D | E | F | G | H |
---------------------------------------------------------------------
1 | 0.50 | 0.50 | 1 | | | 0.30 | 0.30 | |
2 | 0.25 | 0.75 | 2 | | | 0.40 | 0.70 | |
3 | 1.00 | 1.75 | 8 | | | 0.30 | 1.00 | |
4 | 0.75 | 2.50 | 2 | | | 0.50 | 1.50 | |
5 | 1.25 | 3.75 | 3 | | | 1.75 | 3.25 | |
6 | 0.50 | 4.25 | 1 | | | 0.25 | 3.50 | |
7 | 1.00 | 5.25 | 0 | | | 0.50 | 4.00 | |
8 | 0.25 | 5.50 | 2 | | | 0.30 | 4.30 | |
9 | 0.25 | 5.75 | 9 | | | 0.25 | 4.55 | |
10 | 0.75 | 6.50 | 4 | | | 0.70 | 5.25 | |
11 | | | | | | 1.00 | 6.25 | |
12 | | | | | | 0.25 | 0.25 | |
Column A represents the distance traveled while the measurement in column C was collected. Column B represents the total distance traveled so far. So C1 represents some value produced during the process from distance 0 to 0.5. B2 represents the value from distance 0.5 to 0.75, and B3 represents the value from 0.75 to 1.75, etc...
Column F represents a PLANNED second iteration of the same process, but with different measurement intervals. What I need is a way to PREDICT column H, based on a WEIGHTED AVERAGE of values from column C, based on where the intervals in column F intersect with the intervals in column A. For example, since F2 represents the measurement taken from distance 0.30 to 0.70 (an interval of 0.4, split 50/50 across the measurements in C1 and C2), H2 would be equal to: C1*0.5 + C2*0.5: 1.5.
Another example: H3 represents the expected measurement from an interval between 0.7 and 1.0, which is split between C2 (from 0.7 to 0.75 = 0.05) and C3 (from 0.75 to 1.0 = 0.25). So H3 = 16.6%*C2 + 83.3%*C3 = 0.332+6.664 = 6.996.
I'm looking for a way to do this in an Excel spreadsheet without using VBA or breaking it down into something like a Python script to process externally, but so far I'm not finding any way to do it.
Any ideas for accomplishing this entirely within Excel without any special add-ins/scripts installed ?
It's not pretty, but I think the following should work for all except H1 (which would need an added zero row):
=(MAX(0,INDEX(B:B,MATCH(G2,B:B,1))-G1)*INDEX(C:C,MATCH(G2,B:B,1)) +
(G2-INDEX(B:B,MATCH(G2,B:B,1)))*INDEX(C:C,MATCH(G2,B:B,1)+1)) /
MAX(G2-G1,G2-INDEX(B:B,MATCH(G2,B:B,1)))
It matches the values in B and C and weights them accordingly.
I have a certain number of measurements. Each in the following form:
Table A:
| Time [s] | Value |
| 0.5 | 2.0 |
| 50.3 | 33.7 |
| 100.0 | 25.5 |
Table B:
| Time [s] | Value |
| 1.3 | 12.7 |
| 27.8 | 25.0 |
| 97.5 | 20.0 |
| 100.0 | 7.1 |
Table C:
...
The time is always the same, from 0.0 seconds to 100.0 seconds.
The measurement-points as to be seen in the example differ.
I now want to display the different measurements in one chart. Each table has its own line-graph. The X-Axis would display the Time.
Is something like this possible in Excel?
Solved my problem by using a Scatter graph instead of a Line graph...