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# Summary

### Lesson 5 Summary

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

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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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