Closed sh-ura closed 2 years ago
Distribution of diseases by ethnicity
is an excellent exploratory analysis. Good choice.
Something that I forgot to mention in the course of our meeting just now is that I'm not sure how you are going to show the distribution of diseases by ethnicity using a pie chart...... It seems to me that a pie chart is good for graphing variations in one variable (ex. distribution of diseases
or distribution of ethnicities
, but distribution of diseases by ethnicity
has two variables (diseases, ethnicity.) Are you planning on having a separate pie chart for each disease, or for each ethnicity?
You should try drawing the chart that you are going to use before you implement it in code. If it doesn't work out well and you decide to use a different type of chart, please update your wireframe with that information. You don't have to get my approval on the updated wireframe, I just want the documentation to exist. :)
If a pie chart doesn't seem to work well, I would suggest looking into charts that are good for graphing two variables, ex. an independent variable (here, ethnicity
) and a dependent variable (here, disease
).
WON'T DO Closing due to repo archival.
Charts can be very useful for exploratory analysis of data, as they can visualize trends and relationships in the dataset. Thus charts can stimulate the user to come up with ways to make use of the data.
Acceptance Criteria
Tips
In this ticket we are trying to facilitate analytics from an exploratory perspective: helping users find trends and relationships in the data that are not immediately visible just from looking at the data in a table. This approach contrasts other types of analytics, ex. where you receive a question from a researcher and then build charts to answer those questions visually.
Time Estimate
The assigner estimates that this story should take ~1 day to complete.