Data Exploration

Data Science    |    Beginner
  • 12 videos | 52m 25s
  • Includes Assessment
  • Earns a Badge
Rating 4.2 of 62 users Rating 4.2 of 62 users (62)
Once data is transformed into a useable format, the next step is to carry out preliminary data exploration on the data. Explore examples of practical tools and techniques for data exploration.

WHAT YOU WILL LEARN

  • Use csvgrep to explore data in csv data
    Use csvstat to explore values in csv data
    Use csvsql to query csv data like a sql database
    Use gnuplot to quickly plot data on the command line
    Use wc to count words, characters, and lines within a text file
    Explore a subdirectory tree from the command line
  • Use natural language processing to count word frequencies in a text document
    Take random samples from a list of records
    Find the top rows by value and percent in a data set
    Find repeated records in a data set
    Identify outliers using standard deviation
    Perform a word frequency count on a classic book from project gutenberg

IN THIS COURSE

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