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  2. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    However, if data is a DataFrame, then data['a'] returns all values in the column(s) named a. To avoid this ambiguity, Pandas supports the syntax data.loc['a'] as an alternative way to filter using the index. Pandas also supports the syntax data.iloc[n], which always takes an integer n and returns the nth value, counting from 0. This allows a ...

  3. Dask (software) - Wikipedia

    en.wikipedia.org/wiki/Dask_(software)

    A Dask DataFrame comprises many smaller Pandas DataFrames partitioned along the index. It maintains the familiar Pandas API, making it easy for Pandas users to scale up DataFrame workloads. During a DataFrame operation, Dask creates a task graph and triggers operations on the constituent DataFrames in a manner that reduces memory footprint and ...

  4. Grouped data - Wikipedia

    en.wikipedia.org/wiki/Grouped_data

    The students may be 10 years old, 11 years old or 12 years old. These are the age groups, 10, 11, and 12. Note that the students in age group 10 are from 10 years and 0 days, to 10 years and 364 days old, and their average age is 10.5 years old if we look at age in a continuous scale. The grouped data looks like:

  5. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."

  6. Pivot table - Wikipedia

    en.wikipedia.org/wiki/Pivot_table

    Python data analysis toolkit pandas has the function pivot_table [16] and the xs method useful to obtain sections of pivot tables. [ citation needed ] R has the Tidyverse metapackage, which contains a collection of tools providing pivot table functionality, [ 17 ] [ 18 ] as well as the pivottabler package.

  7. John W. Thompson - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/john-w-thompson

    From January 2008 to December 2012, if you bought shares in companies when John W. Thompson joined the board, and sold them when he left, you would have a 1.1 percent return on your investment, compared to a -2.8 percent return from the S&P 500.

  8. Linda B. Bammann - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/linda-b-bammann

    From December 2008 to December 2012, if you bought shares in companies when Linda B. Bammann joined the board, and sold them when she left, you would have a -62.3 percent return on your investment, compared to a 61.1 percent return from the S&P 500.

  9. White House officials bristle as the courts throttle parts of ...

    www.aol.com/white-house-officials-bristle-courts...

    The nation may be edging closer to a constitutional crisis as senior White House officials bristle over a string of court orders stymieing Trump’s agenda.