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Learn Examine the Dataset | Mean, Median and Mode with Python
Learning Statistics with Python

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Examine the Dataset

In this section, a sample of IT specialists' salaries will be analyzed. Begin by examining the first five observations of the dataset:

  • work_year - this year, the salary was paid;

  • experience_level - the experience level: EN is Entery-level, MI is Mid-level, SE-Senior-level, EX is Executive level;

  • job_title - the name of a job;

  • salary - the value of the salary;

  • salary_currency - the currency of the salary;

  • salary_in_usd - the value of the salary in USD;

  • company_location - the location of the company;

  • company_size - the size of the company: S-Small, M-Medium, L-Large.

Now begins a review of data types in statistics, followed by an activity to match each column name with its corresponding data type.

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Match the column name with its type.

work_year
___

experience_level
___

salary_currency
___

salary_in_usd
___

company_size
___

Click or drag`n`drop items and fill in the blanks

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Categorical Nominal
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Categorical Ordinal
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Numerical Discrete
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Categorical Ordinal
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Numerical Continious
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Section 2. Chapter 1

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