I have a graph where I have sales value for Jan, Feb, Mar state wise. I want to mark a flag in a column, if sales exceeds previous month for March month say.
Sales Sales Sales
City1 Person 1 12 29 10
Person 2 14 15 19
Person 3 23 24 11
City2 Person 4 22 28 30
Person 5 14 15 10
Person 6 23 24 2
Jan Feb Mar and so on
So basically expected output would be:
Sales Sales Sales Flag
City1 Person 1 12 29 10 Down arrow
Person 2 14 15 19 Up arrow
Person 3 23 24 11 Down Arrow
City2 Person 4 22 28 30 Up arrow
Person 5 14 15 10 Down arrow
Person 6 23 24 2 Down arrow
Jan Feb Mar and so on
Can anyone tell how to do this in a graph visualisation?
The values of sales are sum (Sales) for Jan , Feb and Mar respectively for Cities corresponding to each person
Related
i have data with fields as shown below
id
grade
grade_id
year
Diff
101
5
7
2022
9
105
k
2
2021
2
106
4
6
2020
5
110
pk
1
2022
1
i want to insert records for same id until we reaches grade = pk , Like shown below for every record in the table .
id
grade
grade_id
year
Diff
101
5
7
2022
9
101
4
6
2021
8
101
3
5
2020
7
101
2
4
2019
6
101
1
3
2018
5
101
k
2
2017
4
101
pk
1
2016
3
need help in sql code
create table amish.cte_test
(id int,
grade int,
year int,
diff int)
insert into amish.cte_test
values (101,5,2022,9)
with recursive temp1( id, grade, year, diff) as
(select id, grade , year , diff from amish.cte_test
union all
select id, grade-1, year-1,diff-1 from temp1
where grade-1 > -2)
select * from temp1
I have 5 mandatory courses which is [ Python, Java, Kotlin, SQL, React ]. And I have different tables
Table name : dbo.course
course_id
course_name
mandatory
category_id
1
python
yes
20
2
java
yes
20
3
kotlin
yes
20
4
sql
yes
20
5
react
yes
20
6
c++
no
21
7
git
no
22
8
vb.net
no
23
table name : Table name : dbo.category which is linked to dbo.course
category_id
category_name
20
Dev
21
Bridge
22
PM
23
Bas
Table name : dbo.attendance (p = present , a = absent)
participant_id
status
course_id
log_in_date
log_out_date
1
p
1
july 2021
july 2021
1
p
2
july 2021
july 2021
1
p
3
july 2021
july 2021
1
p
4
july 2021
july 2021
1
p
5
july 2021
july 2021
2
p
1
july 2021
july 2021
3
a
6
null
null
4
a
8
null
null
5
p
1
july 2021
july 2021
5
p
2
july 2021
july 2021
5
p
3
july 2021
july 2021
5
p
4
july 2021
july 2021
5
p
5
july 2021
july 2021
if the participant finished all the mandatory courses then it will count as 1 and if not, it will not count unless he/she finish the training. I want the output something like this : Assume that there is 5 participant that finished the training in August 2021 and 10 participant in September 2021
select date,count(participant), count(*)
date
participant
count
july 2021
2
2
august 2021
5
7
september 2021
10
17
I have a column called anchor which is a timestamp. I have a row with value of jan 30 2020. I want to compare this to feb 29 2020, and it should give me 1 month. Even though its not 30 days, but feb has no more days after 29. I am trying to bill every month.
Here is my sql fiddle - http://sqlfiddle.com/#!17/6906d/2
create table subscription (
id serial,
anchor timestamp
);
insert into subscription (anchor) values
('2020-01-30T00:00:00.0Z'),
('2019-01-30T00:00:00.0Z');
select id,
anchor,
AGE('2020-02-29T00:00:00.0Z', anchor) as "monthsToFeb29-2020",
AGE('2019-02-28T00:00:00.0Z', anchor) as "monthsToFeb28-2019"
from subscription;
Is it possible to get age in the way I am speaking?
My expected results:
For age from jan 30 2020 to feb 29 2020 i expect 1.0 month
For age from jan 30 2020 to feb 28 2019 i expect -11.0 month
For age from jan 30 2019 to feb 29 2020 i expect 13.0 month
For age from jan 30 2019 to feb 28 2019 i expect 1.0 month
(this is how momentjs library does it for those node/js guys out there):
const moment = require('moment');
moment('Jan 30 2019', 'MMM DD YYYY').diff(moment('Feb 29 2020', 'MMM DD YYYY'), 'months', true) === -13.0
moment('Jan 30 2019', 'MMM DD YYYY').diff(moment('Feb 28 2019', 'MMM DD YYYY'), 'months', true) === -1.0
How about:
select round(('2/29/2020'::date - '1/30/2020'::date) / 30.0);
round
-------
1
select round(('02/28/2019'::date - '1/30/2020'::date ) / 30.0);
round
-------
-11
select round(('2/29/2020'::date - '1/30/2019'::date) / 30.0);
round
-------
13
select round(('2/28/2019'::date - '01/30/2019'::date) / 30.0);
round
-------
1
The date subtraction gives you a integer value of days, then you divide by a 30 day month and round to nearest integer. You could put this in a function and use that.
I'm trying to create a metric for a PostgreSQL integrated dashboard which would show today's "Total Payment Value" (TPV) of a certain product, as well as yesterday's TPV of the same product, up until the same moment as today, so if I'm accessing the dashboard at 5 pm, it will show what it was yesterday until 5 pm and today's TPV.
edit: My question wasn't very clear so I'm adding a few more lines and editing the query, which had a mistake.
I tried this:
select
sum(case when table.product in (13,14,15,16) then amount else 0 end) as "TPV"
,date_trunc('day', table.date) as "Day"
from table
where
date > current_date - 1
group by date_trunc('day', table.date)
order by 2,1
I only want to sum the amount when product = 13, 14, 15 or 16
An example of the product, date and amount would be like this:
product amount date
8 4750 19/03/2019 00:21
14 7840 12/04/2019 22:40
14 15000 22/03/2019 18:27
14 11715 19/03/2019 00:12
14 1054 22/03/2019 18:22
14 18491 17/03/2019 14:28
14 12253 17/03/2019 14:30
14 27600 17/03/2019 14:32
14 3936 17/03/2019 14:28
14 19007 19/03/2019 00:14
8 9400 19/03/2019 00:21
8 4750 19/03/2019 00:21
8 25000 19/03/2019 00:17
14 10346 22/03/2019 18:23
I would like to have a metric that always calculates the sum of the product value today up until the current moment - when the "product" corresponds to values 13, 14, 15 or 16 - as well as the same metric for yesterday, e.g., it's 1 PM now, I want today's TPV until 1 PM and yesterday's TPV until 1 PM as well!
I have the following table from SQL
ID Date Score
-----+-------------+----------
10 2015-01-10 5
20 2015-01-10 5
10 2015-02-10 15
40 2015-02-10 25
30 2015-02-10 5
10 2015-03-10 15
10 2014-01-10 25
20 2014-02-10 35
50 2014-03-10 45
In Tableau I want a line graph to display
(YTD Sum of Score)/Total number of IDs for a year.
For Jan 2015 - 10/4=2.5
For Feb 2015 - 55/4=13.75
For Jan 2014 - 60/3=20
The denominator should remain constant throughout the year and not change monthwise.
Looks like you can achieve your desired result with two calculated fields. First, make a [Year] field with:
year([Date])
Then make a second calculated field as follows:
sum([Score])/sum({fixed [Year] : countd([Id])})
This will sum the score and divide by IDs for the given year. It uses Level of Detail calculation.