I have to send an email out to all the team managers of my company providing the individual stats for each member of their team. Unfortunately I am not very well acquainted with mail merge and have been running into multiple knowledge gaps. I was hoping somebody here could help me understand how I can do this. If the sample data looks like this:
TM Email
Employee Name
Call Goal
Actual
% Goal Met
# of Audits
Accuracy
email1#fakeemail.com
John Doe
100
50
50%
4
92%
email1#fakeemail.com
Jane Doe
100
50
50%
4
92%
email1#fakeemail.com
Eric Stultz
100
50
50%
4
92%
email1#fakeemail.com
Christian Noname
100
50
50%
4
92%
email1#fakeemail.com
Fakename Mcgee
100
50
50%
4
92%
email1#fakeemail.com
senor chapo
100
50
50%
4
92%
email2#mail.com
Duck Werthington
100
50
50%
4
92%
email2#mail.com
Myster Eeman
100
50
50%
4
92%
email2#mail.com
Ion No
100
50
50%
4
92%
email2#mail.com
No Idea
100
50
50%
4
92%
email2#mail.com
Mail Man
100
50
50%
4
92%
Assume that there are over 2 dozen Team Managers with varying team sizes. and the email will be sent in the same format as listed above. How would I go about this, I don't even know where to begin. Please help.
Related
I have a data set as following:
week number
date
item
location
Out of stock %
23
2022-06-05
apple
Seattle
55%
23
2022-06-06
apple
Seattle
60%
23
2022-06-07
apple
Seattle
50%
23
2022-06-08
apple
Seattle
50%
23
2022-06-09
apple
Seattle
50%
23
2022-06-10
apple
Seattle
50%
23
2022-06-11
apple
Seattle
60%
23
2022-06-06
orange
California
10%
23
2022-06-07
orange
California
5%
23
2022-06-08
orange
California
5%
23
2022-06-09
orange
California
30%
23
2022-06-06
orange
California
20%
23
2022-06-07
orange
California
10%
23
2022-06-08
orange
California
2%
My desired output is to have an Out of stock filter for the viewers so that when they enter a certain value, it returns a list of a certain week in which the out of stock is no lesser than the certain value.
For example, if I enter 40% in the filter, then apple at Seattle would only show up.
This apple would be then marked as continuously out of stock. Please help me!
A test with 20 questions was applied to 300 people. We know that 8 questions had at least
100 hits and the rest at least 200 hits. Prove that some student got at least 11 questions right.
OK assume exactly 8 questions got 100 hits and the remaining 12 got exactly 200 hits. That means there were exactly 8 * 100 + 12 * 200 = 800 + 2400 = 3200 hits. If no student had at least 11 questions right, then the most any student could have got right is 10. If 300 students each got 10 answers right, that's just 3000 hits. But we know there were at least 3200 hits. Therefore, it can't be that there's no student with at least 11 hits; some student must have at least that many.
I am trying to benchmark Kafka Cluster. I am newbie. I build 3 node-cluster. Each node has one partition. I did not change default broker settings. I just copied producer and consumer code directly from official website.
When i create topic with replication 1 and partition 3, i was able to 170 MB per sec. throughput. When i create topic with replication 3 and parititon 3, i hardly see 30 MB per seconds throughput.
Then i applied production config in this link https://kafka.apache.org/documentation#prodconfig. The result got worse.
Can you share your experience with me?
disk type replication insert count one message length elapsed time req per sec concurreny throughput MB
hdd 1 10,000,000 250 25 400,000 1 95.36743164
hdd 1 10,000,000 250 28 357,000 2 170.2308655
hdd 1 10,000,000 250 55 175,000 4 166.8930054
hdd 1 1,000,000 250 22 45,400 8 86.59362793
hdd 1 10,000,000 250 22 85,000 8 162.1246338
hdd 3 1,000,000 250 10 100,000 1 23.84185791
hdd 3 1,000,000 250 19 55,000 2 26.2260437
hdd 3 1,000,000 250 30 32,000 4 30.51757813
hdd 3 1,000,000 250 45 20,000 8 38.14697266
hdd 3 10,000,000 250 559 18,000 8 34.33227539
You should expect performance to decrease when increasing replication. You're initial run had such high throughput because Kafka didn't need to copy the message data to multiple different partitions. When you increase the replication factor you're basically trading speed for durability.
I created the below view that gives No. of students got PASS/FAIL in each subject . The tool Tip gives me some default options.
But I would like to have Percentage in tool tip
Basically I need Percentage field in tooltip that says 50% for below screen.
PASS Percentage 50%
FAIL Percentage 50%
This Percentage field needs to vary as per each subject and its grade among students
Could somebody help me on steps to include Percentage in Tooltip?
sample dataset
id name age gender subject grade
100 Steve 14 MALE ENGLISH PASS
100 Steve 14 MALE PHYSICS PASS
100 Steve 14 MALE CHEMISTRY PASS
101 Edward 15 MALE ENGLISH FAIL
101 Edward 15 MALE PHYSICS FAIL
101 Edward 15 MALE CHEMISTRY FAIL
102 Andy 15 FEMALE ENGLISH PASS
102 Andy 15 FEMALE PHYSICS PASS
102 Andy 15 FEMALE CHEMISTRY FAIL
103 Kim 16 FEMALE ENGLISH FAIL
103 Kim 16 FEMALE PHYSICS FAIL
103 Kim 16 FEMALE CHEMISTRY PASS
Table calcs let you calculate percent of totals without creating new calculated fields.
Put SUM(Number of Records) on the Tooltip shelf. Then click on it and choose Quick Table Calc->Percent of Total. You will see a triangle icon next to the field indicating it is now a table calculation
Experiment with changing the Compute Using setting for the Field. I believe compute using Grade is probably the one you want.
I did this with a few calcs. First, get the PASS count.
if [Grade] = 'PASS' then 1 END
Then create a Pass % calc.
sum([Pass count]) / total(countd([Id]))
Now you can place this field in the Tooltip. Repeat for FAIL as well and place that in the Tooltip.
Then I updated the tooltip as follows:
Number of students <CNTD(Id)> (<AGG(pass %)> <AGG(fail %)>) who got a <Grade> in <Subject>
see sample workbook here for details. https://dl.dropboxusercontent.com/u/60455118/160326%20stack%20question.twbx
Suppose that one instructions requires 10 clock cycles from fetch state to write back state. And we want to calculate the time required to execute 1,000,000 instructions. Each clock cycle takes 2 ns.
(a) Calculate the time required.
The answer says that 1,000,009*2 ns. The last digit 9 is for the number of clock cycles for filling the pipeline. Why is this?? I thought since each instruction fetch is happenin in each clock cycle, it would be 1000000*2 ns.
1 2 3 4 5 6 7 8 9 0
1 2 3 4 5 6 7 8 9 0
1 2 3 4 5 6 7 8 9 0
Let's consider these three instructions.Here you can see for the first instruction it has taken 10 clock cycles and and when coming to next two it will only take 2 more clock cycles, so that for the rest 999 999 instructions it will take more 999 999 clock cycles.Therefore 1 000 000 instructions it will take (10+999 999) 1 000 009 clock cycles.