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Oppiskele Examine the Dataset | Section
Statistics for Data Analysis

Examine the Dataset

Pyyhkäise näyttääksesi valikon

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

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Osio 1. Luku 9

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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.

Oliko kaikki selvää?

Miten voimme parantaa sitä?

Kiitos palautteestasi!

Osio 1. Luku 9
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