Request from Lathiena, Angel, and Blake @ Teachstravaganza!
The scatterplot is currently useful for a quick view of the data, but it doesn't provide very many options for how data is visualized. Especially for binned data, it's hard to concretely understand data just from a scatterplot alone. As a result, educators will want students to download a copy of the data to interact with locally.
However, the current raw datasets are buried in our Quilt bucket, and are also several gigabytes. This is a big burden on bandwidth resources and student computers may not be able to open them.
The requested feature is to interact with the data currently being visualized in the scatterplot tab as a CSV, but smaller than the entire raw dataset.
Suggested solutions:
Teachers download the entire CSV dataset and make their own curated smaller version of it to distribute to students.
We include a link to a CSV with columns that match the features included in TFE -> must be done for every dataset
Save the current X and Y axis data from the scatterplot and download as a CSV.
Columns would be object ID, track ID, outlier/filtered status, and X and Y axis data.
Acceptance Criteria
Please describe how you know this is done
Details
Do we include outliers? filtered values? Or just flag both?
Use Case
Request from Lathiena, Angel, and Blake @ Teachstravaganza!
The scatterplot is currently useful for a quick view of the data, but it doesn't provide very many options for how data is visualized. Especially for binned data, it's hard to concretely understand data just from a scatterplot alone. As a result, educators will want students to download a copy of the data to interact with locally.
However, the current raw datasets are buried in our Quilt bucket, and are also several gigabytes. This is a big burden on bandwidth resources and student computers may not be able to open them.
The requested feature is to interact with the data currently being visualized in the scatterplot tab as a CSV, but smaller than the entire raw dataset.
Suggested solutions:
Acceptance Criteria
Please describe how you know this is done
Details