I am new in using Cognos and I have data for the overall project, and I need to create some kind of table or cross tab may be to count the overall project of each year and how many of them are active, canceled and inactive
I have tried using a cross tab but no success.
ProjectId Status Date
1589 Active 8/29/2018
1566 Inactive 4/17/2018
1042 Cancelled 1/6/2014
1374 Completed 1/20/2015
1543 Completed 8/4/2014
1065 Cancelled 7/15/2014
1397 Completed 10/1/2012
1520 Inactive 4/13/2017
1420 Completed 1/1/2015
1443 Completed 1/1/2015
1048 Cancelled 10/16/2014
1002 Active 2/6/2017
1357 Completed 1/19/2017
1606 Active 11/6/2018
Output should look like this
New Projects Active Cancelled/Terminated/Inactive Carried Forward
2013 32 45 4 11 30
2014 45 75 17 14 44
2015 46 90 25 21 44
2016 30 74 27 10 37
2017 82 119 11 26 82
2018 86 168 29 24 115
2019 23 138 9 4 125
Going with -- project Id, status, Date
The ideal scenario is we have a data item for year. If not, to get the year
extract(year, Date)
Calculation data items: for each count
For example, this is for active
if (status = 'Active')Then(1)Else(0)
For properties
Make sure the aggregation is set to total
Adding the column should give you the count
Related
I am executing the following command with these results:
SQL> select * from employee;
12 sachin 48000 23
13 raja 49000 23
35 vikas 40000 26
11 sau 22000 24
23 viru 40000 26
87 raju 4500
I would also like to get the name of the column. How may I do this?
Try Set heading on - this will toggle the column headers on or off.
I have a time series with temperature measures every 5-minutes over ca. 5-7 days. I'm looking to set the correlation structure for my model as I have considerable temporal autocorrelation. I've decided that moving averages would be the best form, but I am unsure what to specify within the correlation = corARMA(q=?) part of the model. Here is the following output for ACF(m1):
lag ACF
1 0 1.000000000
2 1 0.906757430
3 2 0.782992821
4 3 0.648405513
5 4 0.506600300
6 5 0.369248402
7 6 0.247234208
8 7 0.139716028
9 8 0.059351579
10 9 -0.009968973
11 10 -0.055269347
12 11 -0.086383590
13 12 -0.108512009
14 13 -0.114441343
15 14 -0.104985321
16 15 -0.089398656
17 16 -0.070320370
18 17 -0.051427604
19 18 -0.028491302
20 19 0.005331508
21 20 0.044325557
22 21 0.083718759
23 22 0.121348020
24 23 0.143549745
25 24 0.151540265
26 25 0.146369313
It appears that there is highly significant autocorrelation in the first ca. 7 lags. See also the attached images: 1[Residuals] & 2[Model]
Would this mean I set the correlation = corARMA(q=7)?
I'm newbie in machine learning, so I need your advice.
Imagine, we have two data sets (df1 and df2).
First data set include about 5000 observations and some features, to simplify:
name age company degree_of_skill average_working_time alma_mater
1 John 39 A 89 38 Harvard
2 Steve 35 B 56 46 UCB
3 Ivan 27 C 88 42 MIT
4 Jack 26 A 87 37 MIT
5 Oliver 23 B 76 36 MIT
6 Daniel 45 C 79 39 Harvard
7 James 34 A 60 40 MIT
8 Thomas 28 B 89 39 Stanford
9 Charlie 29 C 83 43 Oxford
The learning problem - to predict productivity of companies from second data set (df2) for next period of time (june-2016), based on data from the first data set (df1).
df2:
company productivity date
1 A 1240 april-2016
2 B 1389 april-2016
3 C 1388 april-2016
4 A 1350 may-2016
5 B 1647 may-2016
6 C 1272 may-2016
So as we can see both data sets include feature "company". But I don't understand how I can create a link between these two features. What shoud I do with two data sets to solve the learning problem? Is it possible?
I have a list of sporting matches by time with result and margin. I want Tableau to keep a running count of number of matches since the last x (say, since the last draw - where margin = 0).
This will mean that on every record, the running count will increase by one unless that match is a draw, in which case it will drop back to zero.
I have not found a method of achieving this. The only way I can see to restart counts is via dates (e.g. a new year).
As an aside, I can easily achieve this by creating a running count tally OUTSIDE of Tableau.
The interesting thing is that Tableau then doesn't quite deal with this well with more than one result on the same day.
For example, if the structure is:
GameID Date Margin Running count
...
48 01-01-15 54 122
49 08-01-15 12 123
50 08-01-15 0 124
51 08-01-15 17 0
52 08-01-15 23 1
53 15-01-15 9 2
...
Then when trying to plot running count against date, Tableau rearranges the data to show:
GameID Date Margin Running count
...
48 01-01-15 54 122
51 08-01-15 17 0
52 08-01-15 23 1
49 08-01-15 12 123
50 08-01-15 0 124
53 15-01-15 9 2
...
I assume it is doing this because by default it sorts the running count data in ascending order when dates are identical.
I Have a table in my spreadsheet like this
FEB MAR APR MAY
10 14 7 13
12 9 8 19
15 11 14 16
And I want to use this info in another table. What I want to accomplish is in this another table compare two months by getting this info with the name of the month.
FEB APR
10 7
12 8
15 14
What I did was
=QUERY(AnotherTable!1:1001; "SELECT * WHERE Row2 = 'FEB'")
But it didn't seems to work.
Any thoughts?
You might be able to use a FILTER formula instead:
=FILTER(AnotherTable!1:1001;AnotherTable!2:2="FEB")
or to return both months:
=FILTER(AnotherTable!1:1001,((AnotherTable!2:2="FEB")+(AnotherTable!2:2="APR")))
Use TRANSPOSE built-in function two times, the first to flip the source data, the second to flip the result, and instead of referencing rows, the formula should reference columns.
The resulting formula is
=TRANSPOSE(QUERY(TRANSPOSE(A:D),"Select * where Col1='FEB' OR Col1='APR'"))
Applying the above formula to the following source data
FEB MAR APR MAY
10 14 7 13
12 9 8 19
15 11 14 16
will return the following result
FEB APR
10 7
12 8
15 14