i have one visualization,
on x-axis i have months of date column,
on Y-axis i have unique count of issues.
i have 2 filters in text area,
when i am selecting some values in filter 1 or filter 2 than if count is not available for any month than i need 0 for that month.
Lets suppose i have 5 month(Jan to may) data in my data table, i selected 1 value from filter 1 and 1 value from filter 2, if that combination data is not available for march and April, than trend should show 0 count for march and April.
it is a trend line so if count is not available for any month for selected filters than it should show 0. any lead will help.
TIA
Go to the x-axis settings of your vizualization, click on settings next to your month variable and with the categorical options, choose show all values. If you have a bar chart it will show you the 0 values. In a line chart Spotfire will continue the line as if there are no missing values. In this case you need to add markers to your line.
1:
Related
I want to count the number of occurrences of categories in a variable and plot it against time.
The data looks like following:
Date_column Categorical_variable
20-01-2019 A
20-01-2019 B
20-01-2019 C
21-01-2019 A
21-02-2019 A
22-02-2019 B
........................
23-04-2020 A
I want to show that in month of Jan I had 1 occurrence of B/C whereas 2 occurrences of A. In feb, I had 1 occurrence of A/B and so on. The bar plots can be stacked to know the total number of occurrences.
I've been very close to it. But haven't been able to draw plot out of it.
df['Date_column'].groupby([df.Date_column.dt.year, df.Date_column.dt.month]).agg('count')
The other way is to change the dates to 1st of every month, and then group by to count a occurence. But I'm unable to draw plot out of it.
df.groupby(df['Date_column'], df['Categorical_variable']).count()
Use crosstab with Series.dt.to_period:
df['Date_column'] = pd.to_datetime(df['Date_column'])
df = pd.crosstab(df['Date_column'].dt.to_period('m'), df['Categorical_variable'])
df.plot.bar()
I have a table with info about different tasks with following structure
id start_time finish_time
1 20.12.2018 16:12:06 20.12.2018 16:18:52
2 20.12.2018 16:15:03 20.12.2018 16:22:48
3 20.12.2018 16:18:04 20.12.2018 16:25:23
I would like to create bar chart with visualization about how many tasks are processed in each moment of time: binned datetime by minutes on X-axis and Count for rows on Y-axis.
As was planned before, the first row from example table should be counted in each bar in range from 16:12 to 16:18. But I only was able to make spotfire count values on the column that was binned on X-axis (finish_time)
So there is two questions
How to make spotfire take into account values wihin range from start_time and finish_time?
Is it possible to bin X-axis by date time without binding formula to a column? For example the whole time range for the last year?
I have 2 years of data on a bar chart and an x-axis that I created by concatenating Year and Month Number into a separate column called "Year - Month"
Number.ToText([Year]) & Number.ToText([Month Number])
The result is
20171
20172
20173
20174
...
201711
201712
20181
20182
20183
20184
20185
...
How can I create a calculated column in M to add a number column that counts 1 - 24 which will allow me to sort the x axis on the chart?
Also how can I make this dynamic allowing any new data in the report to auto increment to 25, 26, 27... into year 3?
Try in Power Query editor:
Go to > Add Column > Index Column > From 1
Not exactly what you're asking for, but you might prefer to create a date column that you could use for your axis instead.
= #date([Year],[Month Number],1)
I am facing some difficulties with plotting grouped data (by index) in one graph (scatter plot with lines) in Excel, and I will appreciate a lot your help.
My data are in three columns:
The first column is the index of the data or the group (i.e. a unique number for every set of data)
the second column is the time
and the third column is the data
Group, Time, Data
1 1 12
1 3 12
1 4 28
1 8 56
1 12 37
1 24 40
1 48 34
2 0 7
2 1 14
2 4 6
2 8 63
2 12 4
2 24 35
2 48 3
und so on.
and I want to plot the data vs. time for each index i.e. data group alone, but on the same graph.
Until now, I was always doing it manually by adding each data set separately to the graph. But I think there should be a more clever and easier way to do it, especially that sometimes I have a lot of data (index number can reach 70 or 80).
Thanks a lot in advance.
You can create a pivot table on all your data. Use 'Group' as column headers and 'Time' as row headers. The resulting pivot table will have all time points from all groups as rows and your groups as columns. Each columns of course has entries only at these time points which are included in its group. The other cells are empty. If you just select the data range of this pivot table without column headers, you can get charts from the data as a plot chart omits empty cells.
Update
That is the result pivot table of your test data. The sorted data are in the red frame. (Forget the total results)
A way to do this in Excel 365 is:
Select the data
Go to Data -> From Table/Range to open the Power Query editor
Select the columns with grouped data
Select Transform -> Pivot Column
Select the column with the values corresponding to the grouped data
Under Advanced Options change the value aggregation to Don't aggregate
Click OK, then Home -> Close and Load
This should give you the data formatted in such a way that you can select it and create a chart as normal.
I have two columns of data in Excel, one containing dates and the other values 1 or 2 which represent a specific status (like an enum).
Here is an example data set:
2014/07/04 | 1
2014/07/04 | 1
2014/07/04 | 2
2014/07/04 | 1
2014/07/05 | 2
2014/07/06 | 1
2014/07/06 | 1
2014/07/06 | 2
I need to get a graph of the percentages of the number 1 over days; in the above example
July 4th: 75%
July 5th: 100%
July 6th: 66%.
I've tried pivot tables and charts with no luck because I can't write my own function for values (COUNTIF for ones divided by COUNT), only use the predefined ones which aren't of any use.
Does anyone know how I would go about doing this?
You could do this with a pivot chart.
I made up my own data so it doesn't quite match but it is the same idea.
For the pivot table fields I used
Legend Fields:Compare
Axis Fields:Date
Values: Count of compare
For values under Value field settings goto show value as and change this to % of column total and summarize value by Count.
If you only want to see number one just put a filter on the column labels.