create a histogram chart? To explore how often people place grocery orders, we can look at data from Instacart showing the number of days between each order. By creating a frequency histogram, we visualize the shape of this data distribution, which helps identify patterns. Calculating both the mean (average) and median (middle value) days between orders gives us insights into customer behavior. For instance, if the data is skewed, the median might be a better measure of central tendency than the mean, as it isn't influenced by extreme values. This data is at the interval level of measurement, as it deals with numerical values where the difference between numbers is meaningful, but there's no true zero point. Instacart can use this information to tailor its marketing efforts by identifying trends in ordering frequency. For example, if there's a typical number of days between orders, Instacart might send reminders or promotions shortly before customers typically reorder, potentially increasing sales and enhancing customer engagement. Overall, understanding this pattern allows Instacart to optimize its marketing strategies for better efficiency and effectiveness