I am trying to create a scatter plot chart in SSRS 2008 (not 2008 R2). Is this possible? I want to map military time of day for each day that an event occurs. So my data looks like:
Hour of Day Day of the Week
8 3
14 5
2 1
5 1
10 7
But right now it just sums the HOur of Day values. I want each of them as discreet values however. (Day of the week is 1-7 = Sunday-Saturday).
If this is possible, then how do I set this up?
Related
I have a business requirement to show the trend of cumulative percentage of an atribute over last 2 years. I used a measure to create running total of the attribute for this year and the results are correct.However When I tried to apply the same logic for the past 2 years it is giving me incorrect values.I have created a date table that spans from 2021 to 2023 dec and The X axis of the chart displays weeknumber.Could some one help me with this issue?
Thanks in Advance!
The measure for this year :
Cumulative2023 =
CALCULATE(
DIVIDE(
'Table'[CY CountNum2023]
,'Table'[CY CountDen2023]
,0),
FILTER(
ALLSELECTED('Table'),
'Table'[CreatedDate] <= MAX('Table'[CreatedDate])
)
)
I wanted to add three hour to the original date in my Tableau data, I tried 2 difference way (Calculation 1 & Calculation 2) but it does not show my desire result. Sample of my expectation result shall be like this:
Date: 2022-02-14 00:05
Expectation Date: 2022-02-14 03:05
Attached is the formula I used.
Calculation 2
Calculation 1
I am trying to calculate monthly average temperatures for a dataset with daily temperature values that spans three years. With the data.frame appearing like this example"
Date Month Temperature
12-2-2016 December -10
12-3-2016 December -12
01-2-2017 January -15
01-3-2017 January -14
02-3-2017 February 3
02-4-2017 February 7
03-2-2017 March 8
03-3-2017 March 9
I tried running the following code in order to create a new dataframe with the Month and the average temperature:
group_by(df$month) %>%
summarise(mean_airtemp = mean(Temperature))
However, when running this code I get NA for certain months which I believe is attributed to negative values. I have tried to figure it out but have only found solutions that seem to separate the values based on whether they are negative or positive.
you can use groupby of month and temp together
df.groupby(['Month'])['Temperature'].mean().reset_index(name = 'avg')
I am looking for YOY YTD formula that works with fiscal years in tableau.
Method 1 appears to work here: https://resources.useready.com/blog/ytd-cy-vs-py-in-tableau-2-methods/ but does not work for Fiscal years.
the current year filter starts at Jan.
Is there anyway to adjust method 1 to work with fiscal years?
Note: i tried default properties-> fiscal year start to July and that did not work
See "goal in tableau screenshot below"
You're almost there, assuming you computed what you're showing in Tableau
and didn't just mock it up in Excel.
If you don't have one, create a calculated field "FY-Number" where
January -> 1, Feb -> 2, etc. You're already sorting in that order
so maybe you already have such a field.
Assuming your "average" is a "total" ( using AVERAGE ),
all you need now is a filter to select FY-Number < 7.
Which you COULD do manually.
But if you want this to be automatic, and always total down to the most recent month, you could do the following. There may be better ways but this works.
And I have a hierarchy of FY-number and Fiscal-Month-number for generating the grid.
Compute a running number which we can maximize, a sequential number crossing all years, for the month. I used formula for FMRun to be
[FY num]*12 + [FM num]
which has a max of 270 for December 2021. Tableau can find the max.
Next, invert that, basically, to find the max month number.
FMInvert formula:
{FIXED :(MAX([FMRun])/12 - FLOOR(max([FMRun])/12))*12}
which has a value of 6 for the data given.
Finally, filter on that with this filter I called whatmax, which we want true:
if [FM num] <= [FMinvert] then TRUE
else FALSE
END
And voila, you're done.
Here's the workbook.
https://public.tableau.com/app/profile/wade.schuette/viz/YOY-YTD-answer/Dashboard1?publish=yes
My data is excel column. In excel sheet one column contain last 50 years date (no missing date; dd/mm/yyyy format) and in other column everyday rainfall (last 50 years; no blank).
I want to calculate what is the sum of monthly rainfall for every month of last 50 years in Matlab. Remember, there four types of month ending date: 30, 31, 28 and 29. Upto now I am able read the dates and rainfall value from excel file like below
filename = 'rainfalldate.xlsx';
% Extracts the data from each column of textData
[~,DateString ]= xlsread(filename,'A:A')
formatIn = 'dd/mm/yyyy';
DateVector = datevec(DateString,formatIn)
rainfall = xlsread(filename,'C:C');
what is the next step so that I can see every months of last fifty years rainfall sum?
I mean suppose July/1986 rainfall sum... Any new solutions?Code or loop base in Matlab 2014a
As #Daniel suggested, you could use accumarray for this.
Since you want the monthly rainfall for multiple years, you could combine year and month into one single variable, ym.
It is possible then to identify if a value belongs to both a determined year and month at once, and "tag" it using histc function. Values with similar "tags" are summed by the accumarray function.
As a bonus, you do not have to worry about the number of days in a month. Take a look at this example:
% Variables initialization
y=[2014 2014 2015 2015 2015 2014 2014 2015 2015];
m=[1 1 1 2 2 3 3 3 3]; % jan, feb and march
values = 1:9;
% Identifyier creation and index generation
ym = y*100+m;
[~,subs]=histc(ym,unique(ym));
% Sum
total = accumarray(subs',values);
The total variable is the monthly rainfall already sorted by year and month (yyyymm).