I'm trying to create an SQL statement to query a table to count quantity of a product, sum the cost and group by item number and for some reason, i'm having a difficult time.
Here is a sample data file:
**MAKE MODEL COST**
Canon C100 125
HP H100 30
HP H100 30
HP H100 30
Canon C100 150
Xerox X100 125
Xerox X100 125
Xerox X200 125
The results i'm looking for would look like this:
**Model Qty Cost**
C100 2 275
H100 3 90
X100 2 250
X200 1 125
Any help would be appreciated.
Try this answer. This is very basic level Aggregate functionality. Can you please search on the net, you'll get the answer easily:
SELECT MODEL
,COUNT(1) AS QTY
,SUM(COST) AS COST
FROM [Table] GROUP BY MODEL
Related
I am working in Microsoft Access
I have two tables Chart_Review and Lab
Blood pressures are entered in the Lab table
Lab_Type Lab_Date Lab_values Study_id
SBP 3/1/2022 150 101
DBP 3/1/2022 100 101
SBP 3/15/2022 160 101
DBP 3/15/2022 105 101
SBP 3/22/2022 145 101
DBP 3/22/2022 95 101
I want to calculate the average SBP and DBP for readings that occur before the chart review date in the chart_review table and store these baseline averages (151.67, 100) in variables (BL_SBP_Mean, BL_DBP_Mean) in the chart_review table triggered by clicking a button on the Chart_Review form.
I can calculate the average, but I have not figured out how to save/store the values
SELECT Avg([lab_values]) AS avgSBP
FROM Labs INNER JOIN Chart_Review ON Labs.Study_ID_FK = Chart_Review.Study_ID_FK
WHERE (((Labs.Labs)="sbp") AND ((Labs.Lab_Date)<[Chart_Review]![Chart_Review_Date]));
I want to create a query to get the total number of produced products for each day in Microsoft Access.
Here are the few rows of my table as a sample:the table's name is Orders
ordernumber number of products Date
100 2 11-May-16
101 1 11-May-16
121 2 24-May-16
122 3 24-May-16
131 1 25-May-16
105 3 11-May-16
127 1 24-May-16
135 2 25-May-16
The desired output is :
TotalNoProducts Date
6 11-May-16
6 24-May-16
3 25-May-16
This is one of the more basic aggregate queries:
SELECT SUM([number of products]) As TotalNoProducts, CDate(Int([Date])) As TheDate
FROM Orders
GROUP BY CDate(Int([Date]))
Note that you can also build this query through the query builder, which is usually easier for beginners than using SQL
I try to put a 5 point avg in my chart. I add a trendline, but it looks like this:
And then I created a new series to calculate there the avg. and this looks like this:
but I would like to show this in a 5 point average. How can I do this?
This answer is based on my experience with Excel, not reporting services, but it is probably the same problem.
Your chart is probably a scatter plot rather than a line chart (note: this is Excel terminology). A scatter plot does not have an intrinsic ordering in the data. A line chart does.
The solution (for a scatter plot) is simply to sort the data by the x-values. The same will probably work for you. If you are pulling the data from a database, then order by can accomplish this. Otherwise, you can sort the data in the application.
Using this post as a starting point you can see that it is possible to calculate a moving average for a chart using the SQL query that pulls the data from the database.
For example, using this table in my database called mySalesTable
myDate sales myDate sales myDate sales
---------- ------ ---------- ------ ---------- ------
01/01/2015 456 16/01/2015 546 31/01/2015 658
02/01/2015 487 17/01/2015 12 01/02/2015 121
03/01/2015 245 18/01/2015 62 02/02/2015 654
04/01/2015 812 19/01/2015 516 03/02/2015 261
05/01/2015 333 20/01/2015 1 04/02/2015 892
06/01/2015 449 21/01/2015 65 05/02/2015 982
07/01/2015 827 22/01/2015 15 06/02/2015 218
08/01/2015 569 23/01/2015 656 07/02/2015 212
09/01/2015 538 24/01/2015 25 08/02/2015 312
10/01/2015 455 25/01/2015 549 09/02/2015 21
11/01/2015 458 26/01/2015 261
12/01/2015 542 27/01/2015 21
13/01/2015 549 28/01/2015 21
14/01/2015 432 29/01/2015 61
15/01/2015 685 30/01/2015 321
You can pull out this data, and create a Moving average based on the last 5 dates by using the following query for your dataset
SELECT mst.myDate, mst.sales, avg(mst_past.sales) AS moving_average
FROM mySalesTable mst
JOIN mySalesTable as mst_past
ON mst_past.myDate
BETWEEN DATEADD(D, -4, mst.myDate) AND mst.myDate
GROUP BY mst.myDate, mst.sales
ORDER BY mst.myDate ASC
This is effectively joining a sub-table for each row consisting of the previous 4 dates and the current date, and finds the average for these dates, outputting that as the column moving_average
You can then chart both these fields as normal, to give the following output (with the data table so you and see the actual calculated moving average)
Hopefully this will help you. Please let me know if you require further assistance
I want a list of employees who
have worked on the activity that has the highest Total Pay value.
don't use code such as …where actid = 151…ect
• Note: Total Pay worked for an activity is the sum of the (Total Hours Worked * matching
Hourly Rate)
(e.g. Total Pay for Activity 151 is 10.5 hrs # $50.75 + 11.5 hrs # $25 + 3hrs # $33,)
You must use a subquery in your
solution.
ACTID HRSWORKED HOURLYRATE Total Pay
163 10 45.5 455
163 8 45.5 364
163 6 45.5 273
151 5 50.75 253.75
151 5.5 50.75 279.125
155 10 30 300
155 10 30 300
165 20 25 500
155 10 30 300
155 8 27 216
151 11.5 25 287.5
151 1 33 33
151 1 33 33
151 1 33 33
You time and effort much appreciated. Thanks !!
Without knowledge of the schema, I can only provide a possible sketch (you'll have to compute total pay and provide all necessary JOINs and predicates):
SELECT DISTINCT(employee id) -- reconfigure if more then just employee id
FROM <table(s)>
[WHERE...]
{ WHERE | AND } total pay = (SELECT MAX(total pay)
FROM <table(s)>
[WHERE...]);
I used DISTINCT because it's possible to have more than one activity with the same MAX value and overlapping employees. If you're including ACTID in the output, then you won't need DISTINCT because the same employee shouldn't be on a project twice (unless they are tracked by roles on a project in which case a single employee might have multiple roles - it all depends on the data set).
I'm running a site with user ranking-list based on elo-rating.
I want to provide more statistics to users and I have pretty much covered, but cant really figure out how to make queries for these ones.
Players highest ranking points
Players ranking points history (for graph)
MySQL db has two tables for statistics: ranking_statistics which holds overall statistics:
id, ranking, wins, losses, draws, total6m, total8m, total10m
and ranking_matches which holds statistics for matches played:
id, home_id, away_id, home_ranking, away_ranking, home6m, away6m, home8m, away8m, home10m, away10m, datetime
Here is some sample data from ranking_matches:
46 442 456 30 -30 6 6 5 3 3 4 2013-10-14 21:22:58
54 456 480 34.0391 -34.0391 6 4 6 4 2 1 2013-10-16 17:33:37
55 473 475 30 -30 9 9 7 8 6 4 2013-10-17 03:06:41
and from ranking_statistics:
442 1029.97 7 2 6 120 89 55
456 1003.93 6 2 5 99 84 65
I would want to retrieve players highest ranking points on history (ranking_statistics.ranking holds current points) and that could be retrieved from ranking_matches by quering all matches with players id as home or away and then calculating all ranking changes with highest score remembered (starting points is 1000). With this query, a graph of points history would be drawn also.
I have tried to understand how this is done but could not get it by myself and there doesnt seem to be any similar questions posted (or atleast I did not found any)
Results could be also calculated with PHP because all the data is output with it.
Sample output:
Player id: 442
Current rating: 1029.97
Highest rating: 1054.32 (on 10-23-2013)
For history graph, 2 values need to be retrieved to be able to draw a history line graph, date and rankingpoints.