Working with Google Sheets, I'm currently making a year schedule. The sheet should be recycled every year.
Column A has several dates.
D2 is the year, e.g. 2015, 2016 or 2017.
I'm trying to apply conditional formatting to column A. Every month to get its own colour. January coldblue, February blue, March little bit green, et cetera.
The easy way is to use date before .., like 'date before 1-2-2015' for January. But then, the conditional formatting should be altered every year.
How can I use custom formulae (in conditional formatting) using the year from D2 + before start of the next month?
I would not recommend that many different colours (if only because each colour after the first needs a separate rule!) and don't really see the point of D2 for the CF - unless you plan to have a separate set of 12 colours for each year? However, I think what you request is a plethora of formulae like:
=and(year(A1)=D$2,month(A1)=1)
to be repeated with the last 1 changed in integer steps all the way to 12, with a different colour for each such value.
Related
]Difference and percent Difference must be calculated.
I cannot do Apr20-MAy20 because it is not always the same. I need to show the current month and previous month
So I did a relative filter to just show the current month and previous month.
So the difference of two columns should automatically change when the month changes.
Now how do I get the same month of prior year, how do I filter ?
I also need to calculate the difference of current year same month and previous year same month.
Thank you in advance for any help!
When I do table across difference, the difference value is overwriting the existing May and Apr month values as the below screen shot, how to show the difference in another column
Currently:
Below is Expected:
Sounds like you should create a custom filter for the dates. You want:
This month this year
This month last year
Last month this year
There are a number of ways you could do this. I'll give one example and will assume there aren't any future dates in your data set.
[DateFilter]: DATETRUNC('month',[YourDateField])>=DATETRUNC('month',DATEADD('month',-1,TODAY())) OR DATETRUNC('month',[YourDateField])=DATETRUNC('month',DATEADD('year',-1,TODAY()))
Put the to the filters shelf, set to True, and it should keep the months you want.
Then you can just use the standard table calculations to calculate Difference and Percent Difference.
Note, the formula isn't tested, just typed directly into here, let me know if it doesn't work
Based on your comments look at creating separate calculations for to YoY / MoM / etc calculation. That also means creating calculated fields to isolate the Current Month, Previous Month, etc.
For example, the current month:
[isCM]: DATETRUNC('month',[YourDateField]) = DATETRUNC('month',TODAY())
The previous month:
[isPM]: DATETRUNC('month',[YourDateField]) = DATETRUNC('month',DATEADD('month',-1,TODAY()))
Then month on month, something like:
[MoM]: (SUM([Measure])*INT([isCM]))/(SUM([Measure])*INT([isPM]))
To make your table check this article about using the placeholder technique to create tables in Tableau
I made a year over year percentage difference of some value in a pivot table. It works ugly: If Year=2018 is selected, the percentage is treaded as 100%. If I choose Year IN (2018, 2017), I can see the proper percentage diff for Year 2018 compared with 2017 treaded as 100%.
One idea I have is to create a radio filter that works like this:
If a user selects Year=2018, I want to show data for Year IN (2018, 2017). So actually two values are selected. The table pivot part with 2017 year is hidden though.
This should work for several Year options.
Is this possible?
What you are looking for are all the years whose difference to the argument is at max one year. So if you choose 2018 as argument, you want to choose 2018 and 2017 from the data, if you choose 1997 you want 1997 and 1996.
So, create a parameter [Date Argument] for your target year. Then create the condition:
DATEDIFF('year',[Date],[Date Argument]) = 0 (OR 1) and add it to the view.
However, I believe what you are trying to do could be more easily achieved using a table calculation.
I have a data set that has dates for many years. I can easily filter the data by month or week, but I was hoping to change the X axis to make it start in October and end in April.
Is there a way to do this in Tableau without altering the original data and listed dates?
I don't know about it ending in April since that would not be a full 12 months but you can make it start in October. Right click on your date field > Default Properties > Fiscal Year Start. Then select October.
I'm an historian of medieval history and I'm trying to code networks between kings, dukes, popes etc. over a period of time of about 50 years (from 1220 to 1270) in medieval Germany. As I'm not a specialist for graph-databases I'm looking for a possibility to handle dates and date-ranges.
Are there any possibilities to handle over a date-range to an edge so that the edges, which represents a relationship, disappears after e.g. 3 years?
Are there any possibility to ask for relationships who have their date-tag in a date-range?
The common way to deal with dates in Neo4j is storing them either as a string representation or as millis since epoch (aka msec passed since Jan 01 1970).
The first approach makes the graph more easily readable the latter allows you to do math e.g. calculate deltas.
In your case I'd store two properties called validFrom and validTo on the relationships. You queries need to make sure you're looking for the correct time interval.
E.g. to find the king(s) in charge of France from Jan 01 1220 to Dec 31st 1221 you do:
MATCH (c:Country{name:'France'})-[r:HAS_KING]->(king)
WHERE r.validFrom >= -23667123600000 and r.validTo <=-23604051600000
RETURN king, r.validFrom, r.validTo
addendum
Since Neo4j 3.0 there's the APOC library which provides couple of functions for converting timestamps to/from human readable date strings.
You can also store the dates in their number representation in the following format: YYYYMMDD
In your case 12200101 would be Jan 1st 1220 and 12701231 would be Dec 31st 1270.
It's a useful and readable format and you can perform range searches like:
MATCH (h:HistoricEvent)
WHERE h.date >= 12200101 AND h.date < 12701231
RETURN h
It would also let you order by dates, if you need to.
As of Neo4J 3.4, the system handles duration and dates, see the official documentation. See more examples here.
An example related to the original question: Retrieve the historical events that happened in the last 30 days from now :
WITH duration({days: 30}) AS duration
MATCH (h:HistoricEvent)
WHERE date() - duration < date(h.date)
RETURN h
Another option for dates that keeps the number of nodes/properties you create fairly low is a linked list years (earliest year of interest - latest year), one of months (1-12), and one of dates in a month (1-31). Then every "event" in your graph can be connected to a year, month, and day. This way you don't have to create a new node for every new combination of a year month and day. You just have a single set of months, one of days, and one year. I scale the numbers to make manipulating them easier like so
Years are yyyy*10000
Months are mm*100
Date are dd
so if you run a query such as
match (event)-[:happened]->(t:time)
with event,sum(t.num) as date
return event.name,date
order by date
You will get a list of all events in chronological order with dates like Janurary 17th, 1904 appearing as 19040117 (yyyymmdd format)
Further, since these are linked lists where, for example,
...-(t0:time {num:19040000})-[:precedes]->(t1:time {num:19050000})-...
ordering is built into the nodes too.
This is, so far, how I have liked to do my event dating
Could someone please explain me creating BINS based on Weekdays in Tableau? I tried creating different Calculation Fields but it won't work
You're working too hard.
Tableau already knows how to bin values by dates at many levels of granualarity: such as year, month, day, weekday, hour etc. So you don't need to create a new field to bin dates by the day of the week. (creating bins is not difficult, it's just already available in this case)
Just put a discrete (blue) date or datetime field on a shelf. You'll see the date level of granularity displayed like, say, YEAR(MyDateField) with a leading plus sign.
You can either
click on the plus sign to drill down by adding a second level, say MONTH(MyDateField)
or
right click on the field to select the date level of granularity you want
Alex's Answer is exactly correct, Tableau will perform the operation automatically. What is great about is that you can select various formats (Full day name, number, 1 letter or 3 letter day etc.).
However if you absolutely need to you can used this formula:
datepart('weekday',[Date])
to give you the 1 (Sunday) to 7 (Saturday) value if you need it for something other reason, say another calculation.