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I am new to Power BI. I know how to create a measure between two columns present within a field. But how do I create a measure from two different columns present in two different fields (IVIGUsage and TargetvsActuals?
I need to create a measure for gram variance and grams to target. So, could you please help me out? Earlier I had created the measure based on the one field targetvsactual which are as:
%GM_Target = Calculate(
DIVIDE(
Sum('TargetVsActuals'[Total_Grams]),
SUM('TargetVsActuals'[Target_Grams])))
Gram Variance = (Sum('TargetVsActuals'[Target_Grams]) - Sum('TargetVsActuals'[Total_Grams]))
So, this has to be modified. Please help me out.
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I have a decent-sized table 'countries' with about 10 columns. I recently added a new column to the table 'GDP' and I am entering the information per row using
UPDATE countries
SET GDP=(value)
WHERE name = (country);
I have 200 countries in this table. Is there a better way to update this information?
This project is from Khan Academy. We are asked to select a database and run queries on it. The data was pulled from https://gist.github.com/pamelafox/ad4f6abbaac0a48aa781
I am just making sure that there isn't a more efficient way of adding this information to the existing table 'countries' where the primary key is the name of the country.
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Want to filter dataset with SQL query using RegEx to filter entries based on the time (hour) e.g. 19:XX or 09:XX. The hour part of the string would be in position 12 and 13.
Checked a few other questions and articles, but I'm very new to this and can't figure it out. Don't know which SQL database it is, but I work with it on Google BigQuery.Thanks for your help!
Screenshot of data entries
The standard way to access the hour in a date/time is:
where extract(hour from timecol) = 19
Not all databases support extract. All should have something similar.
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I have a simple tasks I would like to do. Using an RODBC connection I have connected R to a SQL server database. There are four tables in the database and they are tenors of Libor rates
Libor_1_mos
Libor_3_mos
Libor_6_mos
Libor_12_mos
Each table has two columns. The first column shows dates and the second column shows rates.
I would like a simple chart that plots the rates based on the dates in column 1. Straightforward - that is all that needs to be done. The x-axis should be dates (column 1) and the y axis should be rates (column 2). Note it is 5 years worth of data so showing every possible date on the x-axis may not be feasible.
Here is my work so far I am using the Libor_3_mos as an example
threemosdata <- sqlQuery(con,"select * from Libor_3_mos)
Using that line I can read the data from the table. So for instance
colnames(threemosdata)
will give me the names of the column in the table.
So this worked lovely
> date <- (threemosdata$observation_date)
> rates <- (threemosdata$USD3MTD156N)
> plot(date,rates)
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I have a specific column, called DELIVER_TO_LOCATION_ID , which is in a table called apps.po_requisition_lines_all
I need to dig into the database and derive the continent from the DELIVER_TO_LOCATION_ID ,
In SQL Developer I can't seem to find a way to do this .
any tips appreciated. thanks
You can use following command-
desc tableName
It'll give you description of table including every column in it having any constraints on it or not like primary key, reference key etc.
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I am trying to figure out how to choose between two things based on a percentage, but I don't know how to code it correctly. I am trying to choose between item a and item b when the chance of item a being chosen is 33.33% and item b is 66.67%. I'm not sure if I should use if else statements or something else. I would like to know how to code it in objective c, but any advice would be helpful.
Thanks
If the percentages are fixed, it's quite easy:
int result = (arc4random_uniform(3) == 0) ? a : b;
Essentially, this says "if a uniformly distributed non-negative integer strictly less than 3 is exactly equal to 0 (which happens 1/3 of the time), then the value of this expression is a, else it is b".