# Tag Info

### Good resources for visualizing time-to-event(s) data where event is a continuous variable

I am not sure if it is what you are looking for, but if you are trying to visualize the effect of a continuous variable on a time-to-event outcome you may be interested in the ...
1 vote

### Visualising complex data with various groups + sub-groups over time period

Your visualization duplicates the "salesman" rows, which worsens the problem relative to adding more salespeople. In addition, if you use color to show quantity, absence of data could be ...
Accepted

### Visualisation of hierarchical data by tiles with height as metric and adjacency as connections

Your prototype was on a good track, as it's partly the idea behind a Sankey diagram (also known as alluvial diagram, or parallel set diagram). Using some made up data similar to what is shown in your ...
1 vote
Accepted

### Visualization of data when more than two fields should be represented (two of them time related)

Two possible solutions (there may be others, depending on what you need exactly): You can use a diverging color scale to represent a third dimension that can take positive and negative values. So for ...
Accepted

### GARCH diagnostics via standardized residuals: interpreting my findings

"As you can see it is not normally distributed." + "I assumed that the residual of the GARCH are t distributed." = What problem do you see in that? I do not see any. For the second ...
Accepted

### My dataset includes multiple variable and all of these variables have sub-variables. How to visualise & test which segment is significant?

If you want to identify which issues and sub-issues tend to co-occur in your dataset, multiple correspondance analysis may be an adequate tool here, for exploratory purposes. Treating "No" ...

### Bell shape of student in a class has a height mean of 68 inches with 16% of them taller than 71 inches. What % of students are taller than 65 inches?

If the distribution is symmetric about the mean, then $P(h< \mu-3)=P(h>\mu+3)$. We're given that $P(h>\mu+3) =0.16$, so $P(h \geq \mu -3)=0.84$. However, the question asks for the percentage ...

### Bell shape of student in a class has a height mean of 68 inches with 16% of them taller than 71 inches. What % of students are taller than 65 inches?

Or do we have to use Chebyshev's rule for finding k and then input in into mean-k*standard deviation=lower limit? If you don't want the use of the symmetry of the distribution* then we need something ...

### Bell shape of student in a class has a height mean of 68 inches with 16% of them taller than 71 inches. What % of students are taller than 65 inches?

Your intuition and reasoning are correct. Demetri has explained the the more general math behind some of this. You don't need me to repeat that. In your case the question is specifically talking about ...
Accepted

### Bell shape of student in a class has a height mean of 68 inches with 16% of them taller than 71 inches. What % of students are taller than 65 inches?

You've got the answer right by noticing the question is about heights an equal distance from the mean. You are given information about students being taller than 3 inches above the mean and asked ...
1 vote
Accepted

### What is MA-contour plots?

$M$ and $A$ are two expressions for microarray fluorescence readouts, specifically the ratio of intensity between two colour channels and the average of both intensities - usually in the log scale. ...

### How to visualize trends

Thinking About Plotting I think this will depend on your goal. If your goal is to simply explain the data you have in front of you and not make any inferential claims, then a simple line graph will ...
1 vote

### How to visualize trends

I would plot a lowess of BMI and age for each of the six race X sex groups. Here is an example of women's hourly wages and age cut by marital status and race. My analog of DB is time group, defined by ...