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Hi,
I have half hourly intervalwise raw data available on which when I use pivot in excel and get #DIV error, I replace those with '0' which make my pivot look presentable. However, when I use the same data in power BI and add a new column as abandoned % in data view where i use total abandoned/total calls offered and add that formulated column in visuals, I get the error as "NaN". Now, I am not able to replace this with '0'. My question is, how do I do that?
Looking for instant help..thanks
Hi @jeevan_mehra,
Can you provide the measure formulas which you mentioned? I'm not very clear these formula.
Regards,
Xiaoxin Sheng
Hi,
For calculating SL% I have used measure - DIVIDE (calls answered in 20 sec, net calls offered(Total calls offered-calls aban in 10 sec))
For calculating Aban% I have used measure - DIVIDE (total calls abandoned, total calls offered)
Thanks sean for your help. But, still not able to get the perfect result. Actually, I am calculating SL%, Aban% and Ans% based on the raw data. However, the result varies big time in power bi as compared to excel. For eg. SL% for 1st day of the month in excel comes to 89.3% and comes as 97.44% in power bi. Not sure, what to do next??
Hi @jeevan_mehra,
Can you please share some detail content of your issue? It is hard to reproduce your issue from your description.
Regards,
Xiaoxin Sheng
Hi,
I am not sure how to attach my data here. Can you guide me on that?
Hi @jeevan_mehra,
You can upload to your file to 1dv and share the link here.
Regards,
XIaoxin Sheng
Hi,
I am actually new to this environment. Can you explain me what 1dv is?
Hi @jeevan_mehra,
1dv means the "Microsoft OneDrive".
Regards,
Xiaoxin Sheng
Hi,
I am not able to connect to Microsoft OneDrive as of now. However, I am pasting my data below. Let me know if it helps..
Date | Time | Total Calls Offered | Total Calls Answered | Calls Answered After 20 Sec | Calls Answered within 20 Sec | Abandoned Calls | Abandoned <10 Sec | SpeedOfAnswer | Talk_time | ACW_Time | Hold_time | Handled calls | LOB |
01-Feb-17 | 0:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 0:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 1:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 1:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 2:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 2:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 3:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 3:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 4:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 4:30 | 1 | 1 | 0 | 1 | 0 | 0 | 3 | 199 | 3 | 0 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 5:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 5:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 6:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 6:30 | 1 | 1 | 0 | 1 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 7:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 324 | 7 | 0 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 7:30 | 2 | 2 | 1 | 1 | 0 | 0 | 37 | 260 | 10 | 0 | 2 | Prepaid 12345 Gold |
01-Feb-17 | 8:00 | 2 | 2 | 0 | 2 | 0 | 0 | 8 | 153 | 7 | 0 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 8:30 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 705 | 10 | 41 | 2 | Prepaid 12345 Gold |
01-Feb-17 | 9:00 | 1 | 1 | 0 | 1 | 0 | 0 | 4 | 87 | 7 | 0 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 9:30 | 5 | 5 | 1 | 4 | 0 | 0 | 47 | 580 | 23 | 33 | 5 | Prepaid 12345 Gold |
01-Feb-17 | 10:00 | 1 | 1 | 0 | 1 | 0 | 0 | 4 | 51 | 3 | 0 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 10:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 11:00 | 1 | 1 | 0 | 1 | 0 | 0 | 21 | 131 | 7 | 0 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 11:30 | 10 | 10 | 0 | 10 | 0 | 0 | 30 | 769 | 54 | 0 | 10 | Prepaid 12345 Gold |
01-Feb-17 | 12:00 | 8 | 8 | 0 | 8 | 0 | 0 | 27 | 183 | 40 | 0 | 8 | Prepaid 12345 Gold |
01-Feb-17 | 12:30 | 1 | 1 | 0 | 1 | 0 | 0 | 4 | 85 | 7 | 0 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 13:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 13:30 | 3 | 3 | 0 | 3 | 0 | 0 | 4 | 517 | 17 | 46 | 3 | Prepaid 12345 Gold |
01-Feb-17 | 14:00 | 3 | 3 | 0 | 3 | 0 | 0 | 8 | 547 | 17 | 0 | 3 | Prepaid 12345 Gold |
01-Feb-17 | 14:30 | 2 | 2 | 0 | 2 | 0 | 0 | 8 | 300 | 10 | 0 | 2 | Prepaid 12345 Gold |
01-Feb-17 | 15:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 15:30 | 1 | 1 | 0 | 1 | 0 | 0 | 3 | 246 | 3 | 62 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 16:00 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 100 | 3 | 0 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 16:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 17:00 | 3 | 2 | 0 | 2 | 1 | 0 | 6 | 280 | 3 | 0 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 17:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 107 | 3 | 0 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 18:00 | 2 | 2 | 0 | 2 | 0 | 0 | 8 | 258 | 6 | 0 | 2 | Prepaid 12345 Gold |
01-Feb-17 | 18:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 19:00 | 7 | 7 | 1 | 6 | 0 | 0 | 44 | 1282 | 15 | 0 | 5 | Prepaid 12345 Gold |
01-Feb-17 | 19:30 | 5 | 5 | 0 | 5 | 0 | 0 | 11 | 1262 | 21 | 0 | 7 | Prepaid 12345 Gold |
01-Feb-17 | 20:00 | 1 | 1 | 0 | 1 | 0 | 0 | 4 | 78 | 3 | 0 | 1 | Prepaid 12345 Gold |
01-Feb-17 | 20:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 21:00 | 3 | 3 | 1 | 2 | 0 | 0 | 38 | 1003 | 9 | 0 | 3 | Prepaid 12345 Gold |
01-Feb-17 | 21:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 22:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 22:30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 23:00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Prepaid 12345 Gold |
01-Feb-17 | 23:30 | 2 | 1 | 1 | 0 | 1 | 0 | 76 | 60 | 3 | 0 | 1 | Prepaid 12345 Gold |
Hi,
I have a table with complete month data and it has some columns like total calls offered, answered, abandoned etc. Now, if I am trying to add a column like aban% where I am dividing abandoned by offered and trying to reflect it in my chart I am not getting the result which I am expecting, like it is giving me infinity error for some dates under the aban% column. Now, my main concern is how do I get rid of it. I know I can do this in excel but not sure how to do it in power bi. So, I am really looking for some help here...
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