The histogram for obesity is a left-skewed histogram is known negatively skewed histogram. It’s a graphical representation of data in which the tail of the distribution extends to the left. The mean is typically less than the median. The longer tail on the left side indicates some lower extreme values in the data.

The histogram for diabetes is a normal distribution. The mean and standard deviation of a normal distribution fully describe characteristics. When data is approximately normal, these tests tend to be more accurate.

QQ plot for Diabetes and obesity compares the quantiles from the dataset to the quantiles expected from a theoretical distribution. These pairs of quantiles are then plotted against each other on a scatterplot, with the theoretical quantiles on the x-axis and the observed quantiles on the y-axis. QQ plot for diabetes is S-shaped which indicates skewness.QQ plots for obesity points are consistently below the line, which suggests that obesity data has lighter tails.