Seconds / month when outside 49.8Hz - 50.2Hz

Kernel Density Estimate (KDE). You can interpret this as a continuous histogram. Briefly and by default, a small normal density curve is centered at every datapoint and then the densities are summed for all datapoints in a group. This is then normalized to integrate to 1 to generate the KDE

Public domain data

Discusses the global challenge of malnutrition through 6 visualizations created in Python with Plotly

Khishigmaa Bold-Erdene