What I want to do is to select the record from database based on two conditions, the first condition is to select all of the records that has reached 30 days today, and the second one is the records that has reached 25 days today based on the date field of the records. And for each condition I want to add a column (status) for marking the result. I want the result to be like this:
+--+--------------------+-------------------+-------------------+
|No| Date | Name | Status |
+--+--------------------+-------------------+-------------------+
|1 | 2018-10-17 | John | 30 days |
|2 | 2018-10-22 | Daniel | 25 days |
+--+--------------------+-------------------+-------------------+
This is my query:
$data = DB::table('data_pemohon')->select('*')->whereRaw('tanggal_permohonan + INTERVAL 30 DAY <= NOW()')->orWhereRaw('tanggal_permohonan + INTERVAL 25 DAY <= NOW()')->where('status_paspor','Serahkan paspor')->get();
return Datatables::of($data)->addIndexColumn()->make(true);
How can I do that, help me guys, thanks.
Related
I want to create an analysis table in AWS Quicksight that shows the quantity sold in a given month and it's subsequent month based on users who made a purchase on the given month.
Let's say I have a dataset called user_orders with the following data:
+---------+----------+------------+
| user_id | quantity | order_date |
+---------+----------+------------+
| 1 | 2 | 2020-04-01 |
+---------+----------+------------+
| 1 | 3 | 2020-04-02 |
+---------+----------+------------+
| 1 | 1 | 2020-05-23 |
+---------+----------+------------+
| 1 | 2 | 2020-06-02 |
+---------+----------+------------+
| 2 | 1 | 2020-05-03 |
+---------+----------+------------+
| 2 | 1 | 2020-05-04 |
+---------+----------+------------+
| 3 | 2 | 2020-04-07 |
+---------+----------+------------+
| 3 | 1 | 2020-04-10 |
+---------+----------+------------+
| 3 | 1 | 2020-06-23 |
+---------+----------+------------+
For example, using the table above I want to be able to show how many quantities sold in April, May, June, and so on (max 12 months) by users who made a purchase in April.
The resulting table should look like this:
+-----------+----------+
| | quantity |
+-----------+----------+
| 04-2020 | 8 |
+-----------+----------+
| 05-2020 | 1 |
+-----------+----------+
| 06-2020 | 3 |
+-----------+----------+
8 sold in April because user_id 1 made 5 purchase and user_id 3 made 3 purchase while user_id 2 did not make any purchase.
There is only 1 item sold in May because only user_id 1 made the purchase in May, but also made a purchase in April. user_id 2 also made a purchase in May but didn't in April so it's not counted.
I can make the table above using PHP and MySQL fairly easily using the following code:
# first get all the user ids who made a purchase in April
$user_ids = sql_query("SELECT DISTINCT user_id FROM user_orders WHERE order_date BETWEEN '2020-04-01' AND '2020-04-30'");
# get the quantity sold for each month by users who made a purchase in April
$purchases = sql_query("SELECT MONTH(order_date), SUM(quantity) FROM user_orders WHERE user_id IN ({$user_ids}) AND order_date BETWEEN '2020-04-01' AND '2021-03-31' GROUP BY MONTH(order_date);")
(Obviously, April is just an example, I'd like to be able to change the starting month dynamically using QuickSight control)
As my above example shown, it requires two queries to perform this analysis. First, is to get the user_ids of the users, and the next is to actually get the quantity sold by the users.
I have been trying to achieve this using Quicksight for the last 3 days but hasn't found any way yet.
I hope someone can point me in the right direction.
Thank you!
You can achieve this by creating a calculated field like this and filtering on it
distinctCountOver(ifelse(truncDate('MM', {order_Date}) = parseDate('2020-04-01'), 1, NULL), [{user_id}], PRE_AGG)
(ofcourse, you can change the parseDate portion to be your date parameter)
Now, lets say the name of the above calculated field is SpecificMonthUser. You can add a filter sum(SpecificMonthUser) != 0.
And then create a pivot table visualization with OrderDate, user id in the rows and sum(quantity) in the values. You should get the desired result.
I want to create a table analysis in AWS Quicksight that shows the number of new user per day and also the total number of user that has registered up until that day for the specified month.
The following sample table is what I want to achieve in Quicksight.
It shows the daily register count for March:
+-----------+----------------------+----------------------+
| | Daily Register Count | Total Register Count |
+-----------+----------------------+----------------------+
| March 1st | 2 | 42 |
+-----------+----------------------+----------------------+
| March 2nd | 5 | 47 |
+-----------+----------------------+----------------------+
| March 3rd | 3 | 50 |
+-----------+----------------------+----------------------+
| March 4th | 8 | 58 |
+-----------+----------------------+----------------------+
| March 5th | 2 | 60 |
+-----------+----------------------+----------------------+
The "Total Register Count" column above should show the total count of users registered from the beginning up until March 1st, and then for each row it should be incremented with the value from "Daily Register Count"
I'm absolutely scratching my head trying to implement the "Total Register Count". I have found some form of success using runningSum function however I need to be able to filter my dataset by month, and the runningSum function won't count the number outside of the filtered date.
My dataset is very simple, it looks like this:
+----+-------------+---------------+
| id | email | registered_at |
+----+-------------+---------------+
| 1 | aaa#aaa.com | 2020-01-01 |
+----+-------------+---------------+
| 2 | bbb#aaa.com | 2020-01-01 |
+----+-------------+---------------+
| 3 | ccc#aaa.com | 2020-01-03 |
+----+-------------+---------------+
| 4 | abc#aaa.com | 2020-01-04 |
+----+-------------+---------------+
| 5 | def#bbb.com | 2020-02-01 |
+----+-------------+---------------+
I hope someone can help me with this.
Thank you!
I am new to QuickSight but the way I was able to get Total Register Count is by creating a calculated field called count and assigned it the fixed value of 1.
Then I created a second calculated field "Total Register Count" with the following formula
runningSum(sum(count), [{ registered_at} ASC], [])
It sounds as if the CountOver function would work well for you. You'll need to partition your count by the day of the month (using the extract function). Here is a link related to the CountOver function.
https://docs.aws.amazon.com/quicksight/latest/user/countOver-function.html
This is called a Level Aware Aggregation in QuickSight. Here is additional information on that:
https://docs.aws.amazon.com/quicksight/latest/user/level-aware-aggregations.html
Here is information on the extract function:
https://docs.aws.amazon.com/quicksight/latest/user/extract-function.html
If I were to take a stab at your formula, it would look like this:
countover(ID,[extract('DD',registered_at)],PRE_FILTER)
Your table would have the registered_at field as the date.
I have small problem with chart in PowerBi.
I created 4 tables and set up connections between them:
Year
-----------
Id | Value
-----------
Y_19| 2019
Y_20| 2020
Y_21| 2021
Month
-----------
Id | Value
-----------
M_Jan | January
M_Feb | February
M_Mar | March
M_Apr | April
Tax
--------------------------
Id | Value | YearId
--------------------------
Tax_Y_19 | 0.9 | Y_19
Tax_Y_20 | 0.1 | Y_20
Tax_Y_21 | 0.4 | Y_21
Amount
-------------------------------
Id | MonthId | YearId | Value
A_01 | M_Jan | Y_19 | 10000
A_02 | M_Feb | Y_19 | 2000
A_03 | M_Mar | Y_19 | 4000
A_04 | M_Jan | Y_20 | 5000
A_05 | M_Feb | Y_20 | 70000
A_06 | M_Mar | Y_20 | 10000
Then I created slicers where I can choose year (connected column Year[Value]) and created chart with Amount[Value] (y axis), Month[Value] (x axis).
Everything works fine for me, thanks to the relationship of the tables, everything is filtered by year.
But I would like to show the values multiplied by tax if I can somehow make the chart [Tax] * [Amount] - both tables are already filtered by the slicers and when I get it,
I would like to show the bar for Year-1 data on this chart, but I already have a global filter by slicers for a specific year, how could I do it.
I tried to use measure in which I get data from a slicers (Year) using selectedvalue and change the filter on the tables (Tax and Amount) with keepfilter, but measure returns an error that I can't return the table
Your question isn't entirely clear but if your Year table has a relationship with Tax and Amount, then I'm guessing you're after something like this as a measure:
TaxedAmount =
SUMX ( Year, RELATED ( Tax[Value] ) * CALCULATE ( SUM ( Amount[Value] ) ) )
Ussing SSRS, I have data with duplicate values in Field1. I need to get only 1 value of each month.
Field1 | Date |
----------------------------------
30 | 01.01.1990 |
30 | 01.01.1990 |
30 | 01.01.1990 |
50 | 02.01.1990 |
50 | 02.01.1990 |
50 | 02.01.1990 |
50 | 02.01.1990 |
40 | 03.01.1990 |
40 | 03.01.1990 |
40 | 03.01.1990 |
It should be ssrs expression with average value of each month or mb there are other solutions to get requested data by ssrs expression. Requested data in table:
30 | 01.01.1990 |
50 | 02.01.1990 |
40 | 03.01.1990 |
Hope for help.
There is no SumDistinct function in SSRS, and it is real lack of it (CountDistinct exist although). So you obviously can't achieve what you want easy way. You have two options:
Implement a new stored procedure with select distinct, returning reduced set of fields to avoid repeated data that you need. You then need to use this stored procedure to build new dataset and use in your table. But this way obviously may be not applicable in your case.
The other option is to implement your own function, which will save state of aggregation and perform distinct sum. Take a look at this page, it contains examples of code that you need.
using datamapper, how do you filter a date field by month and year?
I can filter all records with today's date.
:date => Date.today
but i am curious if there is an elegant solution
for returning all records from december 2012.
posts.all
+----+------------+
| id | date |
+----+------------+
| 1 | 2009-10-20 |
| 2 | 2012-11-18 |
| 3 | 2012-12-10 |
| 4 | 2012-12-14 |
+----+------------+
posts.all(:date => Date.today)
+----+------------+
| id | date |
+----+------------+
| 4 | 2012-12-14 |
+----+------------+
I think your best bet is to use the date range form (which will result in an SQL "BETWEEN" query):
posts.all(:date => (Date.parse('2012-12-01') .. Date.parse('2012-12-31')))
For other years/months you'll have to lookup or compute the last date of the month instead of hardcoding them as in the example above.
def month_range(year, month)
d0 = Date.parse([year, month, 1].join('-'))
(d0 .. (d0>>1)-1)
end
posts.all(:date => month_range(2012, 12))