I have 3 tables in PowerBI
Table 1
Num
111
222
333
Table 2
Number Code
111 aa
333 cc
222 bb
444 ff
666 gg
These 2 tables are connected by the Number column
Which means the connected value looks like this-
Number Code
111 aa
222 bb
333 cc
Now on my table 3 I have the following -
Table 3
Number Code
111 aa
222 bc
222 bb
444 ff
666 gg
Now what I would like to do is to compare the code when the Number Matches. Means the Output should look like -
Number Code Result
111 aa Y
222 bc N
222 bb N
444 ff N
666 gg N
Do anyone knows any solution to solve this challenge!
I'm not sure how Table 1 is relevant but it seems like you can just do a lookup and check if it matches.
Result =
IF (
LOOKUPVALUE (
Table2[Code],
Table2[Number], Table3[Number]
) = Table3[Code],
"Y",
"N"
)
Related
I have a dataset that looks like this
ID Model_Value Count_Model
111 24 2
222 12 9
234 88 6
111 88 8
222 24 10
222 88 17
I want it to look like this:
ID Model_12 Model_24 Model_88
111 0 2 8
222 9 10 17
234 0 0 6
I don't think I am searching online for the correct terms, I thought initially a transform might work but I still want the row to represent the ID not the model.
How do I go about creating this output from what I have?
Ok I believe this is it! Thank you #mjsqu !!
I was able to do this with the help of this link: http://www.sascommunity.org/mwiki/images/d/dd/PROC_Transpose_slides.pdf
data test_transpose ;
input #1 ID_P #6 Model_Value #18 Count_Model ;
cards;
111 24 2
222 12 9
234 88 6
111 88 8
222 24 10
222 88 17
run;
proc print data=test_transpose;
run;
proc sort data=test_transpose out=test_transpose_S;
By ID_P;
run;
proc transpose
data = test_transpose_S
out = test_transpose_result (drop=_name_)
prefix=Model_Value;
var Count_Model;
BY ID_P;
id Model_Value;
run;
proc print data=test_transpose_result ;
run;
Output of the original sorted dataset and the transpose!
I need to assign seq number by group. I have tried using seq number but got it by one group (1,2,3, etc). However, I need it by two groups. As in the example below:
Have:
Var1 Var2 Var3
101 aaa 202
101 aaa 202
101 bbb 203
101 ccc 206
101 ddd 207
102 aaa 222
102 aaa 222
102 bbb 223
Want:
Obs var1 var2 var3 seq
1 101 aaa 202 1
2 101 aaa 202 1
3 101 bbb 203 2
4 101 ccc 206 3
5 101 ddd 207 4
6 102 aaa 222 1
7 102 aaa 222 1
8 102 bbb 223 2
If you sort your data it is quite simple:
proc sort data=sashelp.class out=class;
by sex age;
run;
data class;
set class;
by sex age;
if first.sex then
seqn = 0;
if first.age then
seqn + 1;
run;
I have a .csv file named fileOne.csv that contains many unnecessary strings and records. I want to delete unnecessary records / rows and strings based on multiple condition / criteria using a Python or R script and save the records into a new .csv file named resultFile.csv.
What I want to do is as follows:
Delete the first column.
Split column BB into two column named as a_id, and c_id. Separate the value by _ (underscore) and left side will go to a_id, and right side will go to c_id.
Keep only records that have the .csv file extension in the files column, but do not contain No Bi in cut column.
Assign new name to each of the columns.
Delete the records that contain strings like less in the CC column.
Trim all other unnecessary string from the records.
Delete the reamining filds of each rows after I find the "Mi" in each rows.
My fileOne.csv is as follows:
AA BB CC DD EE FF GG
1 1_1.csv (=0 =10" 27" =57 "Mi"
0.97 0.9 0.8 NaN 0.9 od 0.2
2 1_3.csv (=0 =10" 27" "Mi" 0.5
0.97 0.5 0.8 NaN 0.9 od 0.4
3 1_6.csv (=0 =10" "Mi" =53 cnt
0.97 0.9 0.8 NaN 0.9 od 0.6
4 2_6.csv No Bi 000 000 000 000
5 2_8.csv No Bi 000 000 000 000
6 6_9.csv less 000 000 000 000
7 7_9.csv s(=0 =26" =46" "Mi" 121
My 1st expected results files would be as follows:
a_id b_id CC DD EE FF GG
1 1 0 10 27 57 Mi
1 3 0 10 27 Mi 0.5
1 6 0 10 Mi 53 cnt
7 9 0 26 46 Mi 121
My final expected results files would be as follows:
a_id b_id CC DD EE FF GG
1 1 0 10 27 57
1 3 0 10 27
1 6 0 10
7 9 0 26 46
This can be achieved with the following Python script:
import csv
import re
import string
output_header = ['a_id', 'b_id', 'CC', 'DD', 'EE', 'FF', 'GG']
sanitise_table = string.maketrans("","")
nodigits_table = sanitise_table.translate(sanitise_table, string.digits)
def sanitise_cell(cell):
return cell.translate(sanitise_table, nodigits_table) # Keep digits
with open('fileOne.csv') as f_input, open('resultFile.csv', 'wb') as f_output:
csv_input = csv.reader(f_input)
csv_output = csv.writer(f_output)
input_header = next(f_input)
csv_output.writerow(output_header)
for row in csv_input:
bb = re.match(r'(\d+)_(\d+)\.csv', row[1])
if bb and row[2] not in ['No Bi', 'less']:
# Remove all columns after 'Mi' if present
try:
mi = row.index('Mi')
row[:] = row[:mi] + [''] * (len(row) - mi)
except ValueError:
pass
row[:] = [sanitise_cell(col) for col in row]
row[0] = bb.group(1)
row[1] = bb.group(2)
csv_output.writerow(row)
To simply remove Mi columns from an existing file the following can be used:
import csv
with open('input.csv') as f_input, open('output.csv', 'wb') as f_output:
csv_input = csv.reader(f_input)
csv_output = csv.writer(f_output)
for row in csv_input:
try:
mi = row.index('Mi')
row[:] = row[:mi] + [''] * (len(row) - mi)
except ValueError:
pass
csv_output.writerow(row)
Tested using Python 2.7.9
I have a sequence of number from 1 000 000 to 9 999 999 (Total: 9,000,000). I've generated them in the excel and I would like to match them in following formats
Last 6 digits in:
1. XXX XXX (For example, 000 000 or 111 111 or 222 222)
2. X00 000 (For example, 100 000 or 200 000 or 300 000)
3. XYY YYY (For example, 122 222 or 233 333 or 411 111)
4. XY0 000 (For example, 230 000 or 750 000 or 120 000)
5. XYZ ZZZ (For example, 231 111 or 232 222 or 233 333)
6. X00 Y00 (For example, 200 300 or 100 400 or 500 600)
7. XXX Y00 (For example, 333 300 or 666 600 or 777 700)
8. XXX YYY (For example, 111 333 or 222 555 or 555 666)
9. XX YY ZZ (For example, 11 22 33 or 22 33 44 or 44 55 66)
10. X0 Y0 Z0 (For example, 10 20 30 or 30 40 50 or 60 70 80)
Would it be possible to do with regex or vba in excel 2013?
Since I don't have knowledge in Excel, should I seek someone's help for a simple program for such matching?
You can use VBA, but I believe you will need to set up each classification separately, and also ensure that they are in an order so as to not overlap.
Here is a partial example, showing a few VBA techniques, which you should be able to extend. I only dealt with the rightmost 6 digits and initially constructed a string; and also put each digit into an array element to make the testing formulas simpler.
Option Explicit
Function Classify(N As Long) As String
Dim I As Long
Dim S(1 To 6) As String
Dim sN As String
sN = Format(Right(N, 6), "000000")
For I = 1 To 6
S(I) = Mid(sN, I, 1)
Next I
If Left(sN, 3) = Right(sN, 3) Then
Classify = "XXX XXX"
ElseIf S(1) <> 0 And Mid(sN, 2) = 0 Then
Classify = "X00 000"
ElseIf S(1) <> 0 And Mid(sN, 2) Like WorksheetFunction.Rept(S(2), 5) Then
Classify = "XYY YYY"
ElseIf S(1) <> 0 And S(2) <> 0 And S(1) <> S(2) And Mid(sN, 3) = 0 Then
Classify = "XY0 000"
elseif ...
End If
End Function
In the following SAS statement, what do the parameters "noobs" and "label" stand for?
proc print data-sasuser.schedule noobs label;
per SAS 9.2 documentation on PROC PRINT:
"NOOBS - Suppress the column in the output that identifies each observation by number"
"LABEL - Use variables' labels as column headings"
noobs don't show you the column of observations number
(1,2,3,4,5,....)
my first title
results without noobs
Obs name sex group height weight
1 mike m a 21 150
2 henry m b 30 140
3 norian f b 18 130
4 nadine f b 32 135
5 dianne f a 23 135
results with noobs
my first title
name sex group height weight
mike m a 21 150
henry m b 30 140
norian f b 18 130
nadine f b 32 135
dianne f a 23 135