Data Exploration
Data Science
| Beginner
- 12 videos | 52m 25s
- Includes Assessment
- Earns a Badge
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
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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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3m 19s
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4m 7s
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3. Querying CSV Data3m 59s
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4. Plotting from the Command Line4m 44s
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5. Counting Words3m 26s
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6. Exploring Directory Trees4m
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7. Determining Word Frequencies6m 2s
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8. Taking Random Samples4m
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9. Finding the Top Rows4m 48s
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10. Finding Repeated Records3m 42s
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11. Identifying Outliers in Data5m 57s
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12. Exercise: Count Word Frequencies in a Classic Book4m 20s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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Channel
Wintellect Data Science
