I'm not sure if this is possible and have tried unsuccessfully to find out online.
I have a journal in Ulysses (a markdown editor for Mac/iOS). I create a new sheet (markdown document) for each entry, and the first line is the date in this format:
24/2/2019, 09:49
I have nearly 500 entries in this way. I'm interested in moving my journal to Day One app, and in order to import in this way, I need to change the date format for every entry to:
Date: June 24, 2016 at 10:59:06 AM MDT
Is there a way to do this somehow in an automated fashion? I don't think I could bear to go through around 500 entries and manually rewrite the date.
Related
I don't understand the logic of Power Query Editor.
I have a big table with data from 2019 to 2024 (one column contains the monthly information).
I want to filter the data by the date of that column, but it has to be dynamic.
Two options:
The data I want to consider is "Current month -2". So all historical data minus current month.
The data I want to consider is a parameter extracted from somewhere (e.g. I set the latest month to consider manually somewhere in an Excel, which usually is "current month -1" but not always (best).
I would be happy with any of the two solutions.
Currently I found somewhere this formula which filters out vs last month:
= Table.SelectRows(#"Changed Type",each [Month]< Date.From(Date.StartOfMonth(DateTime.LocalNow())))
But somehow I do not find the way to go 2 months back.
Thanks a lot!
BR
I was wondering if there's a way where I can filter out my table results based on two years. My table A has date column and many miscellaneous columns. So currently I would like the table A to display January 2018 (or 1/1/2018) and December 2019 (or 12/31/2019 --basically ongoing) information. However, once January 1st, 2020 appears, I would like my table A to display row results between January 2019 and December 2020. Is there a way I can do so? Maybe in DAX or clicking some filter option? Could someone show me? I'm still fairly new to PowerBI.
Thanks
The easiest way to meet this requirement is usually using the Relative Date Slicer or Filter functionality:
https://learn.microsoft.com/en-us/power-bi/visuals/desktop-slicer-filter-date-range
Not sure if any of those options will meet your scenario. Maybe Last 12 Months (Calendar)? Your requirements description didnt make much sense to me - you probably need to explain "ongoing" and "appears".
If the Relative Date functions dont meet your needs, then you'll need to construct a column (in Power Query or DAX) that returns a static value you can use in a Slicer or Filter.
I have a situation where I'm trying to look at changes in data based on timestamp of user entry (or 'created on').
The data highlights planning for delivery of goods, users have the ability to 're-plan' their dates of entry.
What I need to do is look at the timestamp for each 're-planning' date and be able to tell if the date of planning was changed within 7 days of delivery. For example
Data line XXY was planned for delivery on the 29th of August, 2017...but was changed, ON the 27th, to the 30th....this is a flag...
Like wise XXZ was planned for the 30th but changed to September 15th on the 29th...also a flag. Both were changed within 7 days of their previous 'delivery' date. Does this make sense and is there a simple way to do this?
I've been tasked with getting data from an existing database table and transferring it into another. Everything is fine except the date in the original table is in a format that I don't recognise. It looks suspiciously like a unix timestamp but when converting it it seems to be coming out as the year 2727 or something.
Here is an example of what's in the existing table: 1424786878240
The matching date for this on the front end of the site is 24th February 2015. I cannot seem to find any correlation between this and the number in the database - and since I have no access to the original site code I am unable to determine how it's being converted.
If anyone recognises this date format / structure I would appreciate some help.
I work on OCR. We extract text from invoices automatically. When the contents of the invoice are extracted they are stored in a text file, and then we write scripts to extract the data from the text file according to our requirements.
One requirement that has got me stuck is, I need to extract the date from a text file which is not written in any particular format. Its written as 12 08 2014 in a line. I need to extract this and print it out in the dd/mm/yyyy format.
Also, the dates can be written in any format, for example 2nd December 2013, 12-12-2013, 12 Aug 2013 and so on. I need to read the date and extract it in the form of dd/mm/yyyy.
A little heads up for the problem.
There is no fixed location for the date. There are about 14000 invoices, most have a separate location of the date and separate format. I get the images and the scanned text file of the invoices, and i have to locate the date and try to format it.
The date is not after any fixed keyword that i could use. Like i mentioned in the first point, it can be after the word invoice number, or cost or any other work. SO the idea of searching it using keywords does not work as well.
This is the most stupid one, suppose I get the date 1/2/2011, how do I know whats the day and whats the month? The client has just entered a date, i have no way of finding out whats the day and the month. Is it even possible to find this out?
ORDERED SHIPPED
01239751 28 08 14 03 09 14 E31192-00 1
CUST.NO. ItN1 R 0 R NO SALE MM
NOM CI WATT VOTRF NO nr CAMMANOF in-W.01M
ADDRESS HERE
Te1:(123)123-1234/ Fax:(123)795-1234
Facture / Invoice
OUTPS:R-103958989 CONE:MONS Taws> NET 60 DAYS
SOLD TO / VENDU A SHIPPED TO / EXPEDIE A
You've already asked this.
You don't know and there is no way to know. We normally base it on the locale of the computer how dates are read. Yanks do m/d/y while the rest of the world do d/m/y. In the US windows functions assume the first and in the rest of the world the second.
As to years. Two digits are interpreted according to control panel settings. 29 and below is 2000 to 2029. 30 and above is 1930 - 1999.
Computers can not read the minds of people who write dates.