I have created my own dashboard and would like to add a new tab with a calendar/schedule or task manager/viewer; as an example, would it be possible to come up with something like
On that picture I am mostly interested in the overall Month view (and the scroll down feature) in the center-right.
My "Calendar" would only run for the next 4 months and would be fed from a database (a table birthdays, a table appointments, a bank_holidays table...). A birthday would show up in yellow for instance while an appointment would be in red and a bank_holidays in blue. It wouldn't be dynamic as the Calendar would be initialized upon a button clicked and the data would be "frozen" until the next day/click of a button. From what I found this is far from being straightforward. I thought (think) I could have used the DatePickerRange and instead of having the calendar popping-up, having a way to have this calendar fixed/static within my page.
If this is not possible to be done intuitively based on dash/plotly I was thinking I need to create my own calendar template based on dash datatable: one datatable for each upcoming months (max 4 months). How can I initialized a dataframe to represent a month, with columns being the day of the week, and the values per rows being the day of that month?
My idea would then to cast those values into a list and then append the dates from my birthday table, appointment table and so on.
Edit: it seems there are some Calendar templates based on javascript, but then how can I embed such template into my dash/plotly dashboard?
Related
I'm working on a charging matrix where project managers can input time to the top three contracts in each category based on a week to week basis. Right now I have a pivot table with the categories (Production, Spares, Development) with multiple contracts that were charged that week. I manually select the top three from each category and copy into a table where I have formulas creating charge numbers for the project managers to use.
The question is, is there a way I can automate selecting the top 3 contracts from each category based on number of hours for that specific week?
Pivot Table & Charging Matrix
You can use LARGE() to get the top 3 (large(data,1) etc)
Then use index() and match() to get the contract names.
I have made a simple example here, but it will not deal with duplicate results in the hours if they are in the top 3...
There are solutions to that already posted.
If I understand you correctly, you want to automate the process of finding the top 3 contracts under each category and then create the charge number based on the results.
You can do so by creating a new pivot table as demonstrated below, put the Category Name and Contract Name in the Rows field, and put the Hours in the Values field, then right click anywhere within the Row Labels column of the pivot table, go to Filter -> Top 10... -> enter 3 in the second field, then you should have the top three contracts for each category.
P.s. You can choose to sort the hours from largest to smallest, and choose NOT to show the subtotals for each category.
Once you have the list, you can enter your formula (I presume you used a formula) in corresponding cells in column H (as in my example) to create the desired charge number.
Currently i had a project using Microsoft SQL Server Analysis Service. I found a problem regarding filtering data with excel timeline.
Here is my date dimension screenshot:
<img src="https://i.stack.imgur.com/NUr2x.png"/><img src="https://i.stack.imgur.com/5OSgA.png" />
I had a cube with 2 measures, Sales Quantity (measures) and Sales Quantity Last Year (calculation). Here is MDX expression for Sales Quantity Last Year calculation:
( ParallelPeriod([Date].[YM].[Calendar Year],1,[Date].[YM].CurrentMember),[Measures].[Sales Quantity In 1000] )
After deploying the project to my local server, the data can be shown perfectly using excel 2013:
Pic: Data in Excel without filter
The problem start when i want to filter the data using excel timeline. When i filter only '2016', my calculation measure is no longer working. You can see the data in 'Sales Quantity in 1000 LY' column is blank. It looks like that i cant see the data outside current filter (2016). Pic: Filtered using timeline filter
But when i use slicer, the data can be shown normally Pic:Filtered using Slicer
Did i make a mistake in building date dimension? Or i need to fix the MDX calculation query? Because when i test this case in Microsoft AdventureWorksDW2014 with the same date hierarchy and the same calculation, all is going well.
Your parallel period calculation looks correct assuming [Date].[YM] is your date hierarchy. I am guessing that your date dimension is off somehow.
Make sure that:
it has a hierarchy created, and the hierarchy is what you are referencing in the parallel period calculation. Here is an example, you could have more or less attributes in the hierarchy obviously.
Your attribute relationships are defined correctly.
Key columns on the attributes in the hierarchy are correct. In the example above, you would just make year the key for the year column, but then for quarter it would be a collection of the year and quarter column. For period, key columns would be year, quarter, period. For week, key columns would be year, quarter, period, week. Date would just use the date column since date is the key.
4.Make sure that the date key attribute is using a date field for it's value column, as a time slicer needs this.
define time intelligence on your date dimension. Right click on the date dimension on the solution explorer and choose add business intelligence, then on choose enhancement screen pick define dimension intelligence. Then set the attribute type for each dimension attribute. Here is how it would be for our example.
Hopefully one of these does it for you.
I have a long list of dates (about 2000) in an excel spreadsheet and I want to see how many of these dates lie within particular years (and roughly which part of the year also if possible). I know how to make basic graphs in excel, but I'm not sure how to make a bar graph that uses dates. Any suggestions?
I can obviously split events in day, month, and year and then use count to count the amount of each year, but this would not show the placement of the event within the year in the final graph.
20/03/2000
2/04/2000
3/04/2000
26/05/2000
7/06/2000
20/06/2000
22/06/2000
10/07/2000
12/07/2000
22/07/2000
2/08/2000
8/08/2000
11/08/2000
14/08/2000
15/08/2000
12/09/2000
15/09/2000
20/09/2000
25/09/2000
2/10/2000
22/10/2000
24/10/2000
25/10/2000
27/10/2000
1/11/2000
10/11/2000
13/11/2000
16/11/2000
18/11/2000
20/11/2000
25/11/2000
27/11/2000
3/12/2000
6/12/2000
20/12/2000
21/12/2000
22/12/2000
4/01/2001
7/01/2001
11/01/2001
24/01/2001
25/01/2001
2/02/2001
4/02/2001
9/02/2001
12/02/2001
13/02/2001
20/02/2001
21/02/2001
2/03/2001
11/04/2001
19/04/2001
20/04/2001
21/04/2001
24/04/2001
27/04/2001
28/04/2001
2/05/2001
3/05/2001
5/05/2001
12/05/2001
13/06/2001
20/06/2001
25/06/2001
3/07/2001
5/07/2001
18/07/2001
20/07/2001
21/07/2001
22/07/2001
25/07/2001
4/08/2001
5/08/2001
9/08/2001
10/08/2001
11/08/2001
12/08/2001
13/08/2001
31/08/2001
11/09/2001
12/09/2001
17/09/2001
3/10/2001
10/10/2001
18/10/2001
21/10/2001
23/10/2001
4/11/2001
5/11/2001
17/11/2001
22/11/2001
23/11/2001
27/11/2001
29/11/2001
3/12/2001
I cannot check this in earlier versions of Excel, but in Excel 2016, if you build a Pivot Table with your data and drop the date in the Rows - you get your data grouped in Years, Quarters, and Months. If you also drop the date into Values, then you get the Count of values in each year, quarter, and month.
Then a pivot chart looks like this ...
A less magical way to do it
Applies to Excel 2013 and up
From your single column of dates, build a pivot table.
Put the date in Rows. Put Count of date in Values.
Select any one of the dates. Right Click and choose "Group...", or choose "Group Selection" from the Analyze ribbon.
Click on each of Months, Quarters, and Years.
Filter how you would like.
Select PivotChart from the Analyze Ribbon.
You can create a scatter graph as suggested in the comment. Consider your data set and see if there is any other quality that could be added to the chart, which could be plotted on the value axis. For example the number of people attending the event, or the duration of the event in seconds, or something like that, so that the graph contains more information. In the following screenshot, the blue dots are just the 1's from column B plotted on the time line. The orange dots plot another data aspect on the vertical axis.
If you create a pivot table of the dates and drag the date into the Sums area you will get a count of each day, make sure this is sorted. Then a chart will show the number of records for each day. You will need to copy and past values from the pivot to a new sheet to be able to make a scatter diagram from the output of the pivot table (in Excel 2010). But once it is a scatter diagram the events will be in the "correct" places.
If you wanted to group it by month instead you could use a formula to create a column of year & month and then do the pivot and chart on that column. For example the formula below will give you 201605 for May 2016.
=YEAR(A2)&RIGHT(100+MONTH(A2),2)
Weeks would be a bit trickier, but I suppose you could divide the date by seven and then INT it to get a 7 day grouping. These wont show the actual events occurance within the period but would let you see which periods have the most events.If you are looking for things like more events at the beginning of the month or something you might need to try different "groupings" like weekly.
I have data for three years. This years data 15/16 is updating each week. The previous two years data is complete and is static (no longer updating).
I can make a chart with all three years on a different series but I have to manually change the range each week to update the chart.
How can I make a chart that will map the two previous years and the current weekly data to one chart. Pulling data from this years pivot and the weekly totals from the last two years which are static data?
Thanks
Update:
After trying the suggestion to add "=iferror" as blank ("") the graph plots the rest of the year but the future dates appear as 0 on the graph, how can this be removed but keep the mapping for the rest of the year, so the graph is dynamic?
Easiest way to get a chart that updates automatically is to convert all of your data to a table (select your current table, go to the ribbon > Table, select "New"). Then have your chart read the data from the new table, and it will automatically update any new data points that are added, no need to manually adjust the data being grabbed each week. You just pull down the bottom right corner of the new table, and it incorporates the new data, and sends it to the chart.
That will take care of all the static information. This next step will take care of the dynamic data, might get a little tricky.
Basically, set up the next rows in the table to read directly from the pivot table (fill in the cell to say "=b20", "=c20", etc). If there's no data for a particular week, you'll have to either manually drag the new formula down week by week, filling in the table as you go (which, helpfully, will continue updating the chart)... or you can maybe try something with an "=iferror" function, where it fills in a "" if the cell is empty. Not so certain about that last option, but it's worth a try.
Let me know you need any clarification!
I have a list (30+) of users with the number of times those users were active per month in my system. I'm using an Excel chart to show which users have been consistently active over time. About one third of the users come consistently (several times a month) while others come one month and not another.
Unfortunately since I have 30+ users, the colors in the Excel chart are difficult to distinguish from one another. What I was thinking to remedy this was to only show the top 10 (or 15) users and group the others into an "others" or "catch-all" bucket and still shows it in the chart.
A sample image of the chart:
What's the best way to do this?
Add a column that differentiates 'Active' from 'Non-active'. In the sample I had to create overall B and C were the most active so I populated D2 down with:
=IF(OR(B2="B",B2="C"),"Active","Non-active")
Adjust the formula if that distinction is made on a month by month basis. Create a Stacked Column PivotChart and in the PivotTable move the 'Active' together as necessary. Select each of the Non-active series (here only two for illustration) in the chart and apply the same colour fill to all.