Google Data Studio – displaying a chart based on pivot table, without showing the pivot table?

My raw data is in Google Sheets, with one of the columns representing categories that should act as filter. As a tryout, we’ve created pivot tables in Sheets, and charts on those pivot tables.

Now I’ve got to recreate those charts as a Data Studio report.

Looked at some basic tutorials, but I’m probably missing something crucial:

  • If I use the pivot table data from Sheets as data source, then I can’t apply a filter on the categories (they are in the pivot tables).

  • If I create a pivot table in Data Studio on the raw data, I couldn’t find an option to (1) not show this pivot table and (2) use this pivot table as input for a chart.

Any help is appreciated.

t sql – Add Total Row To PIVOT Query

I want to add a TOTAL monthly row to my query, below is my DDL, how can I have an additional row, under the last employeename that is labeled TOTAL and it shows the SUM() of the sales for ALL employees for that month?

Create Table #empSales
(
    employeename varchar(100)
    ,saleamt decimal(10,2)
    ,saleMonth varchar(100)
)

Insert Into #empSales VALUES
('James', '1.00', 'January')
,('Richard', '3.28', 'January')
,('Barb', '4.13', 'January')


Select 
employeeName
,SUM(January) As JanAMt
,SUM(February) As FebAMt
,SUM(March) As MarAMt
,SUM(April) As AprAMt
,SUM(May) As MayAMt
,SUM(June) As JunAMt
,SUM(July) As JulAMt
,SUM(August) As AugAMt
,SUM(September) As SepAMt
,SUM(October) As OctAMt
,SUM(November) As NovAMt
,SUM(December) As DecAMt
FROM #empSales
PIVOT ( 
    SUM(saleAmt) For saleMonth IN (January, February, March, April, May, June, July, August, September, October, November, December)
) As pvt
GROUP BY employeeName
Order By employeeName

How to Pivot Multiple Columns in SQL Server

welcome to dba.stackexchange. It might help to paste your (unsuccesful) queries and the errors you got.

I am sorry other tipps and tutorials did not help you with your challenge. Since you are specifically asking for pivot, I suggest another documentation that appears (to me) to be quite straight forward:
https://docs.microsoft.com/en-us/sql/t-sql/queries/from-using-pivot-and-unpivot?view=sql-server-ver15

The basic pivot form looks like this:

SELECT <non-pivoted column>,  
  (first pivoted column) AS <column name>,  
  (second pivoted column) AS <column name>,  
  ...  
  (last pivoted column) AS <column name>  
FROM  
  (<SELECT query that produces the data>)   
  AS <alias for the source query>  
PIVOT  
(  
   <aggregation function>(<column being aggregated>)  
FOR   
   (<column that contains the values that will become column headers>)   
   IN ( (first pivoted column), (second pivoted column),  
   ... (last pivoted column))  
   ) AS <alias for the pivot table>  
<optional ORDER BY clause>;  

In your case that might turn out to something along those lines (I did not test this and have not finished it all):

SELECT TimesOfDay,  
  (1) AS Monday,  
  (2) AS Tuesday,  
  ...  
  (last pivoted column) AS <column name>  
FROM  
  (<SELECT query that produces the data>)   
  AS <alias for the source query>  
PIVOT  
(  
   sum(item_count)  
FOR   
   (day_of_week)   
   IN ( (1), (2),  
   ... (7))  
   ) AS <alias for the pivot table>  
<optional ORDER BY clause>;  

Hope that helps
Andreas

Find Difference from Previous Consecutive Row in Google Query Pivot Table

Say I have source data like the below:
OriginDate|Name|IncidentDate| where Origin Date is constant and the earliest date of my imported data set. I’ve formatted the dates to numbers so I can perform calculations in query.

AO       X         AP

OriginDate|Name|IncidentDate
5/19/2019 |Mary|5/21/2019
5/19/2019 |Lisa|5/29/2019
5/19/2019 |Lisa|5/29/2019
5/19/2019 |Lisa|6/1/2019

enter image description here
I’ve successfully created a google query pivot to get to the following:
=query(‘Source Data’!A1:AU,”SELECT AP,((SUM(AP)/COUNT(AP))-AO) group by AO, AP pivot X label ((SUM(AP)/COUNT(AP))-AO) ‘ ‘ “)

       Lisa    Mary

6/1/2019 13
5/29/2019 10
5/21/2019 2

enter image description here

What I’m trying to result is the calculated difference between Lisa’s incidents on 6/1 and 5/29 or 3 days to know Lisa went 3 days between errors. The reason I’m dividing by count AP is that a pivot table adds dates together if there are multiple errors on the same day. I use the minimum date of the source data as the baseline on the sheet. That’s the Origin Date value. I’m not sure it’s needed but I could at least perform that subtraction and it worked.

My data is constantly updating so I’m using Importrange to get the data daily thus the need for a query.

Anyone got any clever ideas on how to get to this final step? I tried in excel to use diff from previous
in a pivot table but could not get that to work either.

php – Should I create a model of a pivot table?

I want to link the destination trip table (pivot table between trips and destinations) to users in another pivot table that would be destinations_travels_users. My question arises when I create the relationship between models, because if I do, I am among many users that I need to refer to. Create a model of the table for a model table (destinations_travel) that has no model, even though it's a pivot table? What name should I put in this case? Thanks in advance

// destinations_travels table (it's a pivot table)

public function up()
{
    Schema::create('destinations_travels_users', function (Blueprint $table) {
        $table->increments('id');
        $table->string('rating');
        $table->string('image');
        $table->string('start_date');
        $table->string('ending_date');


        $table->integer('destinations_travel_id')->unsigned()->nullable();
        $table->integer('users_id')->unsigned()->nullable();

        $table->foreign('destinations_travel_id')->references('id')->on('destinations_travels');
        $table->foreign('users_id')->references('id')->on('users');

        $table->timestamps();
    });
}

// Users table

 public function up()
{
    Schema::create('users', function (Blueprint $table) {
        $table->increments('id');
        $table->string('profile');
        $table->string('username');
        $table->string('password');
        $table->string('email');


        $table->rememberToken();
        $table->timestamps();
    });
}

// destinations_travels_users table

 public function up()
{
    Schema::create('destinations_travels_users', function (Blueprint $table) {
        $table->increments('id');
        $table->string('rating');
        $table->string('image');
        $table->string('start_date');
        $table->string('ending_date');


        $table->integer('destinations_travel_id')->unsigned()->nullable();
        $table->integer('users_id')->unsigned()->nullable();

        $table->foreign('destinations_travel_id')->references('id')->on('destinations_travels');
        $table->foreign('users_id')->references('id')->on('users');

        $table->timestamps();
    });
}

Improvement of the QuickSort algorithm with pivot as the first element

I tried to improve the algorithm because it is the most effective and well known algorithm among many others. I came across "Quicksort algorithm with an early exit for sorted subfiles 1987 from the University of Tulsa, Roger L. Waiwright" You know other ways / researches?
I think reducing memory would work by reducing the number of arrays and working on an array IDK, as I will do.

Sorting bubbles or sorting selections for large arrays is not helpful, and checking whether to sort a large array with them would add complexity.
P.S: I only learn and study, do no research, etc.

Quicksort algorithm with premature termination for sorted subfiles

What are pivot points?

Pivot points are used by traders to try to predict support and resistance levels. They are widely used in the forex market and serve as visual cues for executing trades.

Pivot points are calculated based on the Open, High, Low and Close of the previous trading day. Standard pivot points include the pivot point itself, three full support levels and three full resistance levels, but often two half support levels and two half resistance levels are also included.

Daily pivot points are the most common, but weekly and monthly pivot points are also available.

http://www.forex-metal.com/affiliate/46199/2