Data Exploration

Data Science
  • 12 Videos | 57m 55s
  • Includes Assessment
  • Earns a Badge
Likes 25 Likes 25
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

  • Playable
    1. 
    Exploring CSV Data
    3m 19s
    UP NEXT
  • Playable
    2. 
    Exploring CSV Statistics
    4m 7s
  • Locked
    3. 
    Querying CSV Data
    3m 59s
  • Locked
    4. 
    Plotting from the Command Line
    4m 44s
  • Locked
    5. 
    Counting Words
    3m 26s
  • Locked
    6. 
    Exploring Directory Trees
    4m
  • Locked
    7. 
    Determining Word Frequencies
    6m 2s
  • Locked
    8. 
    Taking Random Samples
    4m
  • Locked
    9. 
    Finding the Top Rows
    4m 48s
  • Locked
    10. 
    Finding Repeated Records
    3m 42s
  • Locked
    11. 
    Identifying Outliers in Data
    5m 57s
  • Locked
    12. 
    Exercise: Count Word Frequencies in a Classic Book
    4m 20s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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