I have a sample source table here and currently, it is returning multiple records due to multiple tutors.
I want to select only the tutor_name if the exam_date is between the effective date and the next record's effective date.
Sample desired output:
Related
I'm doing a break fix on a Tableau report visualization that shows the outcomes of clients by client id for a given year by showing a running sum of distinct count of client id or RUNNING_SUM(COUNTD([ID])). The X axis of the visualization is the initial date of contact with the client. Occasionally, due to errors in the data or weird behavior, there are clients that have two initial dates, listed as two separate data rows where the column Initial Date will have different values but they will share an ID.
Currently, the visualization shows such people with their chronological last Initial Date and I need it to dedup such that the visualization shows them as starting from the chronological first Initial Date.
I could create a calculated field for if there are two IDs with multiple non identical Initial Dates then use the first, but I'm not sure how to create a calculated field that can groupby or otherwise check multiple dates per ID.
In Python/psuedo code, it would be something like
For ID in IDS:
if len(groupby.IDS.ID)>1:
then Initial_Date = min(InitialDate)
But I have to do the transformation in Tableau
Keep everything the same, but create a calculated field named "Initial Contact Date" with the calculation:
{FIXED [ID]: MIN(InitialDate)}
Then replace the date field on the X axis (Columns) with this date field instead.
That LOD Expression loops through all rows given the ID, and returns only the min one.
I have a random table of data - with dates and numbers:
Date Open Volume abschange
2016.12.08D00:00:00.000000000 11035.76 1.74835e+008 1.30177
2016.12.09D00:00:00.000000000 11170.18 1.0383e+008 0.2994598
2016.12.12D00:00:00.000000000 11198.42 8.98117e+007 0.07331357
...
2016.12.30D00:00:00.000000000 11443.31 4.18109e+007 0.3298871
2017.01.02D00:00:00.000000000 11426.38 4.74561e+007 1.504853
So from this table, i would like to be able to create a list, which holds all the entries from 10 days prior to the days, which has abschange>1.
I thought it would be easiest to start with a focus on those dates:
Date abschange
---------------------------------------
2016.12.08D00:00:00.000000000 1.30177
2017.01.02D00:00:00.000000000 1.504853
2017.01.25D00:00:00.000000000 1.099709
2017.01.31D00:00:00.000000000 1.344625
2017.02.06D00:00:00.000000000 1.016427
2017.02.21D00:00:00.000000000 1.265196
Then create a flat list:
mynewdates: raze tablewithDateAndabschange each
which gives me:
2016.12.08D........ 2017.01.02D......
Then i get stuck, when i want to add 10 prior dates for each entry in this list.
Could i actually get my wanted result in one line of code, based on the first table or should i follow the path i am on ?
For both - if possible, what would the possible solution to this be ?
If my understanding is correct your requirement is:
for each date for which abschange>1, get last 10 dates before this date from table.
Below query will create that map. It is based on following assumptions:
Date column is unique and ordered(ascending) as it appears from your example.
If above condition is not true then it will require a minor change in below query to work with duplicates and unordered list.
Table is not keyed.
q) (tbl[`Date]a)!b#'where#'not null b:tbl[`Date] -1+(a:where 1<tbl`abschange)-\:til 10
UPDATE: Based on discussion in comment section.
Just add the second step to check if dates list for first result is empty. In that case generate last 10 dates from that date.
Finally it generates the table where each row contains prior dates(max 10) for each date with abschange>1.
q)d:b#'where#'not null b:tbl[`Date] -1+(a:where 1<tbl`abschange)-\:til 10
q)d[0]:$[0=count d 0;(t[`Date]a 0)-1+til 10;d 0]
q)([]dates:d)
I’m trying to combine two separate date fields into one so that I can calculate a defect rate between the two.
I have two date fields:
1. EndDate
2. FundingDate
The EndDate field is used to capture the # of units for a particular ‘project’ for a particular month. The FundingDate is used to capture the total # of volume generate for a particular month.
If I create a worksheet using just EndDate and filter to a ‘project’ I’m interested in and COUNTD the # of units, those figures turn out to be accurate for their respective months.
Same goes for the FundingDate, separate worksheet, COUNTD the # of units, figures are accurate for their respective month.
If I try to view the COUNTD of units from a project using the FundingDate, the #’s are off. Same goes for the total volume if I use EndDate trying to find the total volume.
How do I create a Date Dimension that both can pull off of that reflect the correct COUNTD?
this was resolved by creating an external .TXT file with a Master Date list. I then duplicated the original data source and did a cross data base join to the two date fields to the Master Date
https://onlinehelp.tableau.com/current/pro/desktop/en-us/multipleconnections_troubleshooting.html
I'm trying to find a way to create a table like the one above, but instead of having columns of months I would like to have columns of MTD, QTD, YTD for all selected measure values. I created calculated fields on the [Date] field but when I try to use that it still splits the data in to separate columns of months and quarters... I'm using two data sources and they are linked on the [Date] field. If I try to put two of my calculated fields in the columns bar it just combines them like 'MTD/YTD'. How can I get them to display as separate columns?
I know this is strange because there will be overlapping data (everything in the MTD will also be in the QTD and the YTD).
I found a way to do this. I created a calculated field on the date field and assigned 'MTD' to all records from the last month. Then I assigned 'QTD' to all records from the start of the quarter to the day before the start date of the 'MTD' records. Then I assigned 'YTD' to all records from the start of the year to the day before the start of the 'QTD' records. (this way there are no overlapping records).
After that I just did a quick table calc to make each of them a 'running total' table (across).
I created parameters for the dates so the can easily be updated.
I have a table with 6 columns and 140,000 rows, and I can't figure out how to extract specific information from the table. For instance, when I try to extract all the accidents that happens on a specific date, either it tells me that the row '12/05/2015' does not exist or it doesn't let me set 'Date' as a Row Name since the dates repeat because more than one accident happens in a day, thus giving me the error that 'Duplicate row name: '01/01/2015'.
How can I pick a date and extract all of the data that corresponds to it?
P.S. Below you can see two photos, one of the table and one of the errors I get when trying to set date as a row to make everything clearer.
if I understand correctly your matter, you want to extract from the table, the rows that contain Date1, if so try this :
new_table = table(table(:,1)==Date1,:);