I'm wondering if anyone could give me tips or example code on how to query and output multiple months worth of data to a Google Sheet. For example, I'd like to create a table that lists all of the eventLables and the totalEvents for each during the last 3 months.
For instance:
May June July
Video Plays 5 10 20
External Links 6 8 15
Get Directions 6 2 3
Thanks for any ideas.
Related
Let’s suppose, I have a table like this
(*I should be able to modify the structure of the table if I want)
Title q_point a_point
element_1, 4 5
element_2, 1 2
element_3, 2 4
element_4, 2 4
element_5, 1 2
I’d like to generate something similar to what I’ve below with Grafana, I’ve been looking around but I did not find anything that exactly fit what I've to do.
Is there any plugin/graph which allows me to build something similar, possibly including colors…
Thanks a lot
My task is to build a table in 4 columns and 6 lines of quick replies buttons. Messenger api allows display 11 quick replies in 1 line.
Is it possible to build answers in several rows?
You probably want to check the Quick Reply docs first: first of all it's 13 max not 11, but most importantly Quick Replies aren't permanent and disappear after the next message and therefore you cannot have multiple "rows" of Quick Replies.
I have three data sets:
First, called education.dta. It contains individuals(students) over many years with their achieved educations from yr 1990-2000. Originally it is in wide format, but I can easily reshape it to long. It is presented as wide under:
id educ_90 educ_91 ... educ_00 cohort
1 0 1 1 87
2 1 1 2 75
3 0 0 2 90
Second, called graduate.dta. It contains information of when individuals(students) have finished high school. However, this data set do not contain several years only a "snapshot" of the individ when they finish high school and characteristics of the individual students such as backgroung (for ex parents occupation).
id schoolid county cohort ...
1 11 123 87
2 11 123 75
3 22 243 90
The third data set is called teachers.dta. It contains informations about all teachers at high school such as their education, if they work full or part time, gender... This data set is long.
id schoolid county year education
22 11 123 2011 1
21 11 123 2001 1
23 22 243 2015 3
Now I want to merge these three data sets.
First, I want to merge education.dta and graduate.dta on id.
Problem when education.dta is wide: I manage to merge education and graduation.dta. Then I make a loop so that all the variables in graduation.dta takes the same over all years, for eksample:
forv j=1990/2000 {
gen county j´=.
replace countyj´=county
}
However, afterwards when reshaping to long stata reposts that variable id does not uniquely identify the observations.
further, I have tried to first reshape education.dta to long, and thereafter merge either 1:m or m:1 with education as master, using graduation.dta.
However stata again reposts that id is not unique. How do I deal with this?
In next step I want to merge the above with teachers.dta on schoolid.
I want my final dataset in long format.
Thanks for your help :)
I am not certain that I have exactly the format of your data, it would be helpful if you gave us a toy dataset to look at using dataex (and could even help you figure out the problem yourself!)
But to start, because you are seeing that id is not unique, you need to figure out why there might be multiple ids in any of the datasets. Can someone in graduate.dta or education.dta appear more than once? help duplicates will probably be useful to explore the data in this way.
Because you want your dataset in long format I suggest reshaping education.dta to long first, then doing something like merge m:1 id using "graduate.dta" (once you figure out why some observations are showing up more than once) and then, finally something like merge 1:1 schoolid year using "teacher.dta" and you will have your final dataset.
I am quite new to Tableau, so have patience with me :)
I have two tables,
Table one (T1) contains all my data with the first row being Year-Week, like 2014-01, 2014-02, and so on. Quick question regarding this, how do I make Tableau consider this as a date, and not as string?
T1 contains a lot of data that looks like this:
YearWeek Spend TV Movies
2014-01 5000 42 12
2014-02 4800 41 32
2014-03 2000 24 14
....
2015-24 7000 45 65
I have another table (T2) that contains information regarding some values I want to multiply with the T1 columns, T2 looks like:
NAME TV Movies
Weight 2 5
Response 6 3
Ad 7 2
Version 1 0
I want to create a calculated field (TVNEW) that takes the values from T1 of TV, and adds Response(TV) to it, and times it with the weight(TV),
So something like this:
(T1[TV]+T2[TV[Response]])*T2[TV[Weight]]
This looks like this for the rows:
(42+6)*2
(41+6)*2
(24+6)*2
...
(45+6)*2
So the calculation should take a specific value from T2, and do the calculation for each value in T1[TV]
Thanks in advance
The easy answer to your question will be: No, not natively.
What you want to do sounds like accessing a 2 dimensional array and that's not really the intention of Tableau. Additionally you have 2 completely independent tables without a common attribute to JOIN on. Tableau is just not meant to work that way.
I cannot think of a way to dynamically extract that value (I assume your example is just that, an example; and in your case you don't just use two values in the calculation, otherwise you could create 2 parameters that you can use in your calculated fields)
When I look at your tables it looks like you could transpose and join them that they ideally look like this: (Edit: Comment says transposing is not an option)
Medium Value YearWeek Spend
Movies 12 2014-01 5,000
Movies 32 2014-02 4,000
Movies 14 2014-03 2,000
Movies 65 2015-24 7,000
TV 42 2014-01 5,000
TV 41 2014-02 4,000
TV 24 2014-03 2,000
TV 45 2015-24 7,000
and
Medium Weight Response Ad Version
TV 2 6 7 1
Movies 5 3 2 0
Depending on the systems you work with you could already put it in one CSV or table so you wouldn't have to do a JOIN in Tableau.
Now you can create the first table natively in Tableau (from Version 9.0 onwards), if you open your data source, in the Data Source Preview choose the columns TV and Movies, click on the small triangle and then on Pivot. (At this point you can also choose the YearWeek column click on the triangle and Split to create a seperate field for Year and Week. You won't be able to assign the type date to it put that shouldn't give you any disadvantages.)
For the second table I can think of two possibilities:
you have access to a tool that can transpose your table (Excel can do that see: Convert matrix to 3-column table ('reverse pivot', 'unpivot', 'flatten', 'normalize') Once you have done that you can open it in Tableau and join the two tables on Medium
You could create calculated fields depending on the medium:
Field: Weight
CASE [Medium]
WHEN 'TV' THEN 2
WHEN 'Movies' THEN 5
END
And accordingly for Response, Ad and Version
Obviously that is only reasonable if you really just need a handfull of values.
Once this is done it's only a matter of creating a calculated field with
([Value]+[Response])*[Weight]
And this will calculate all the values for your table
I have the following problem with MS Access:
Suppose I have a list of companies with monthly performance values. I can view the performance of a single company in a chart by hooking the chart into a query with a Month column and a Performance column.
Now suppose I want to display a chart for N companies. I could theoretically do this if I were to generate a query with a Month column and N Performance columns (one for each company). Is there any way to create a query with a variable column count like this? I have a SQL backend that I can use if necessary, and I'm fine with putting together any VBA code necessary to support it. The only impediment I'm seeing is that I'm stuck using MS Access, which I am not very familiar with.
So here are my main questions:
Is this even possible?
How would I go about tackling this issue? I'm trying to minimize research time, so it would be great if I could just get pointed in the right direction.
Thanks!
With this table:
company pmonth performance
1 1 10
2 1 8
3 1 15
1 2 15
2 2 5
3 2 25
1 3 5
2 3 4
3 3 20
I create this query:
SELECT p.company, p.pmonth, p.performance
FROM MonthlyPerformance AS p;
Then change the query to PivotChart View and drag company field to "Drop Series Fields Here", drag pmonth to "Drop Category Fields Here", and drag performance field to "Drop Data Fields Here".
If you prefer, you can create a form using the same query SQL as its data source, then set the form's Default View to PivotChart, and set up the chart the same way as I did for PivotChart view on the query.
If that's not what you want, give us some more information about the type of chart you want and the context in which you will display it.