new feature) time-series visualization

HEARTCOUNT smart plot has been enhanced with time-series visualization feature.

Follow the steps below to do time-series analysis and visualization yourself. (no sign-up/log-in required)

1. download a sample time-series dataset

- go to the site below to download the latest covid 19 dataset: https://github.com/RamiKrispin/coronavirus/blob/master/csv/coronavirus.csv
- download csv (and save as .csv)
- go to https://www.heartcount.io/play
- import the downloaded csv into HEARTCOUNT

2. optional) filter the dataset using date/time variables

• make sure to click [Apply Filters] button once we have set filtering conditions

3. visualize

• set Y-axis with a variable of interest (# of cases), X-axis with a date/time variable, and sub-group by type of cases(confirmed, death, recovered).
• since we’re interested in the total cases over the course of time, change the aggregation method to sum.

• then, perform various visualization using the buttons on the top-right side of the pane.
• starting from the left: multiple bar, stacked bar, stacked area, and line chart.

• for each type of visualizations, you can choose a sub-type.
• for example, three sub-types available for line charts: linear, smooth(spline), and step
• you can hover over the chart to show tool-tip, and right-side legend to highlight a specific class.