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# Summary

### Lesson 5 Summary

In this lesson, we’ve learned the utility of packages in handling big data, as well as how import and use these packages. We’ve explored a real-world data set containing human height and weight values, learning and calculating summary statistics like mean and standard deviation. We’ve also learned how to create histograms in Python, visualizing the data in a number of ways.

Let's put together everything we've learned into one final exercise:

In 1990, scientists collected temperature data in many major American cities. They compiled their data into a csv file with the name of the city, average temperature for January, and the latitude (North-South) and longitude (East-West) of that city:

1. What is the average temperature in January in Mobile, Alabama? Hint: Mobile is the first city listed in the data

2. How many cities are included in the data?

3. Make a histogram of temperatures in January across the United States. Be sure to give your graph a title and label both axes.

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