Part 1
For this project, I have collected data on the number of likes on the top 30 posts from a popular Instagram influencer. The data is as follows:
Post 1: 5000 likes
Post 2: 7500 likes
Post 3: 3000 likes
Post 4: 6000 likes
Post 5: 9000 likes
Post 6: 4000 likes
Post 7: 8500 likes
Post 8: 2000 likes
Post 9: 7000 likes
Post 10: 10000 likes
Post 11: 5500 likes
Post 12: 6500 likes
Post 13: 1500 likes
Post 14: 8000 likes
Post 15: 9500 likes
Post 16: 5000 likes
Post 17: 7000 likes
Post 18: 4000 likes
Post 19: 8500 likes
Post 20: 9000 likes
Post 21: 6000 likes
Post 22: 5000 likes
Post 23: 3000 likes
Post 24: 6500 likes
Post 25: 7500 likes
Post 26: 5500 likes
Post 27: 3500 likes
Post 28: 8000 likes
Post 29: 9500 likes
Post 30: 4500 likes
Part 2
I will create a bar graph to visually represent the data on the number of likes on the top 30 posts from the Instagram influencer.
On the x-axis, I will list the posts (1-30), and on the y-axis, I will show the number of likes. The scale on the y-axis will range from 0 to 10,000 to capture the full range of likes received.
I will use different colors for each bar to differentiate between the number of likes on each post. The bar graph will provide a clear visual representation of the popularity of each post in terms of likes received.
Part 1
Collect a set of data with at least 30 data points. The data should be quantitative,
which means that it should be measured using numbers. You can be as creative as
you’d like, but here are some suggestions for things that you can survey.
• the heights of a large number of people
• the number of pages in a set of books on a bookshelf
• the number of hits earned by different professional baseball players in a
season
Part 2
Create a visual representation of your data. If the data is continuous, use a
histogram. If the data is discrete, use a bar graph. Make sure to label the axes with
appropriate titles and incorporate the appropriate scale on each axis.
1 answer
1 answer