Join Michele Vallisneri for an in-depth discussion in this video Baby name overview, part of Introduction to Data Analysis with Python.
- We are now going to experiment with a very versatile…and powerful data analysis package, Pandas.…Our data set of choice will be…the U.S. Social Security baby name catalog,…which reports on the number of male and female newborns…that were given a certain name in each year since 1880.…This data set is rather simple,…but also great fun to play with,…and it has been mined, analyzed, and visualized…in many publications and websites.…Specifically, I will show you how to load…the Social Security data about baby names,…how to plot the popularity of a given name across all years,…how to extract the 10 most popular…boy or girl names by year,…how to define and identify name fads,…and for your challenge, I will ask you…to analyze the usage of unisex names.…
- Writing and running Python in iPython
- Using Python lists and dictionaries
- Creating NumPy arrays
- Indexing and slicing in NumPy
- Downloading and parsing data files into NumPy and Pandas
- Using multilevel series in Pandas
- Aggregating data in Pandas
Skill Level Intermediate
Q: The course shows how to download files from FTP and web servers using Python 3.X. How do I do the same thing with Python 2.7?
A: First import urllib, then use urllib.urlretrieve(URL,filename). For instance, to download the stations.txt files used in the chapter 5 video “Downloading and parsing data files,” you’d do urllib.urlretrieve(‘ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/daily/ghcnd-stations.txt','stations.txt').
1. Installation and Setup
2. Refresher: Data Containers in Python
3. Word Anagrams in Python
4. Introduction to NumPy
5. Weather Data with NumPy
6. Introduction to Pandas
7. Baby Names with Pandas
Next steps1m 36s
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