In my visualization, the dataset are from Enterprise Addressing System and San Francisco Zip Codes. I used filtering and sorting in the visualization. If you click on population, the bar chart will show the population of every zip code area in San Francisco by descending. If you click on number of enterprises, the bar chart will show the count of enterprises in very zip code area by descending. And the ratio is calculate by population / number of enterprises. Since we don't care about the real number of population, number of enterprises and ratio, and I want people focus on specific zip code area like have the highest or lowest population, number of enterprises and ratio, I didn't add detail infomation of the bar chart.
For population, we can find that 94121 have the highest population, not the highest number of enterprises, but 94121 have the third most ratio. So we can assume that this is a residential area. People will leave to work and come back to life. The highest area of number of enterprises is 94110, which also have the third most of population, and the ratio is similar to most regions. I assume residents and workers maintain a certain balance.
Very greatful to Sophie's work. And Button to change input data in barplot