I am using Weka for Data mining a dataset. I can find median, stdev using explorer but not range, quartiles, variance and mode. Is there any configuration required in the tool for the same or it just can't possible with the tool?
You can use a Filter, the Unsupervised Attribute Filter "AddExpression" or the "MathExpression", to calculate something for a single attribute.
Obviously, this is primitive, and you cannot do this for each attribute in one fell swoop.
Related
I have a setup where I consume live from Analysis Services, therefore my Power BI desktop is a bit limited, in terms of what I can do there:
Usually, the SSAS I consume from, has thousands of measures, and I only use a subset of them…
Is there any way of knowing, fore example if measure X is used in any of the pages of the .pbix?
Given a column or measure; I was wondering if there is any way of quickly knowing if it is used in any visual or filter in any of the pages of the pbix...
I think you can tackle this using an external tool such as Power BI Helper.
The documentation part is where you should look at.
I have a Data Set of online product-reviews (without any grades/stars/etc.). To this data-set I applied the integrated PowerBI AI-Insights Text Analytics Sentiment Analysis model and got a a sentiment score for each review. Next, I transformed the score into textual discrete values: POSITIVE, NEGATIV and NEUTRAL.
The dataset is artificially created by me, so I know the polarity of each comment. Now I want to compare the predicted value to the actual value. I've done this by adding a new column that compares the actual value with the predicted value and displays "PREDICTED" if the correct value was predicted and "NOT PREDICTED" if the prediction was false (it doesn't matter if it is positive, negative or neutral). My goal is to calculate some model metrics so I can evaluate the capabilities of this PowerBI integrated model and to visualize the results. How can I do this? Is "accuracy" the first thing that I have to start with? If yes then how can I calculate and visualize a result like the "accuracy".
Thank you for all your answers in advance.
Yes, take accuracy in first consideration. If you find 70 or 80 percent above results are accurate, you can easily rely on the PowerBI AI-Insights Text Analytics Sentiment Analysis. You can then create your visuals for Sentiment data. But if there is 50-50 occurrence of predicted and not predicted result, you may go for 3rd party Sentiment analysis service like - Google, Alchemy.
I am trying to calculate the standard deviation from a hospital Average Daily Census report. The report has by floor and by unit. The raw data is midnight census events for each patient...hundreds every day. I also have a filter on the report for different clinical services so the standard deviation needs to calculate "on the fly" as I change the filter.
The first picture below shows the results unfiltered. The second shows the results with some services selected.
I have found one way to calculate deviation but it has to be from a specific field. Since my ADC itself is calculated, this does not work.
I also saw how you can create a table (DAX?) but have not been able to get that to work and not sure it can be dynamic and calculate after filtering.
Is what I am trying to do even possible in Power BI?
Thanks
It sounds like you want the standard deviation of ADC over time at a daily granularity.
If this is correct, the basic approach is to calculate the measure for each day and then take the standard deviation on that set. In DAX, this will look something like this:
StdDevADC =
STDEVX.S (
SUMMARIZECOLUMNS ( DateTable[Date], "ADCThisDate", [ADC] ),
[ADCThisDate]
)
Even if this isn't exactly what you need, it should give you an idea of how to approach this. You need to calculate [ADC] for each element of the dimension you want to take the standard deviation over and then use the iterator version of the Standard Deviation function to calculate over that table/list you just calculated.
It is possible to add additional row in table in PowerBI below sum which will be average of every column?
No, this feature is not available in any PowerBI visual.
While these feature is not directly available, you could achieve this effect using a row-based metric pattern and some clever formatting.
In PowerBI I'd like to build Non-standard matrix very similar to the report in Google Analytics.
What do I have now:
I want to change my subtotal to measure, which is calculated as the difference in percentage of the two values
What I want to get:
In Power BI, there is no way to override the subtotals of a matrix with a calculation. Part of the challenge is that you know there are only two date ranges, but as far as Power BI is concerned, there could be any number of date ranges.
It's difficult to tell from your question exactly what input you have and what output you're looking for. Further, the numbers in your screenshots are obscured. However, one consideration would be to solve the problem using measures (i.e. a measure representing the first date range, a measure representing the 2nd date range, and then a measure calculating the difference between them). You may need to change the layout of your visual a little to make this work and the specific design would depend on how static your date ranges are.