September 2014
Intermediate to advanced
512 pages
12h 39m
English
Content preview from IPython Interactive Computing and Visualization CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Computing the autocorrelation of a time series
The autocorrelation of a time series can inform us about repeating patterns or serial correlation. The latter refers to the correlation between the signal at a given time and at a later time. The analysis of the autocorrelation can thereby inform us about the timescale of the fluctuations. Here, we use this tool to analyze the evolution of baby names in the US, based on the data provided by the United States Social Security Administration.
Getting ready
Download the Babies dataset from the book's GitHub repository at https://github.com/ipython-books/cookbook-data, and extract it in the current directory.
The data has been obtained from www.data.gov (http://catalog.data.gov/dataset/baby-names-from-social-security-card-applications-national-level-data-6315b ...
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