Continuous Performers
Given that the dataset of drag performers in the 1930s is likely very limited due to the record, etc., here I outline some assumptions that can be made to run algorithms in order to show what the dataset could look like under certain assumed conditions.
Padding: 0
This is the dataset's actual content. Each dot represents each month where the artist selected appears in the dataset.
Show dataPadding: 1
The padding of the dataset here ranges ±1 month, which means that if the selected artist appeared in one month in the dataset, it is assumed that the same artist appeared in the surrounding two months (1 month before and 1 month after the date in the dataset).
Show dataPadding: 2
The padding of the dataset here ranges ±2 months, which means that if the selected artist appeared in one month in the dataset, it is assumed that the same artist appeared in the surrounding four months (2 months before and 2 months after the date in the dataset).
Show dataPadding: 3
The padding of the dataset here ranges ±3 months, which means that if the selected artist appeared in one month in the dataset, it is assumed that the same artist appeared in the surrounding six months (3 months before and 3 months after the date in the dataset).
Show dataPadding: 4
The padding of the dataset here ranges ±4 months, which means that if the selected artist appeared in one month in the dataset, it is assumed that the same artist appeared in the surrounding eight months (4 months before and 4 months after the date in the dataset).
Show dataPadding: 5
The padding of the dataset here ranges ±5 months, which means that if the selected artist appeared in one month in the dataset, it is assumed that the same artist appeared in the surrounding ten months (5 months before and 5 months after the date in the dataset).
Show data