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

Course Content

Learning Statistics with Python

Learning Statistics with Python

1. Basic Concepts
2. Mean, Median and Mode with Python
3. Variance and Standard Deviation
4. Covariance vs Correlation
5. Confidence Interval
6. Statistical Testing

bookExamine the Dataset

In this section, we will analyze a sample of IT specialists' salaries. Let's first take a look at the first five observations of the dataset:

work_yearexperience_leveljob_titlesalarysalary_currencysalary_in_usdcompany_locationcompany_size
02020MIData Scientist70000EUR79833DEL
12020SEMachine Learning Scientist260000USD260000JPS
22020SEBig Data Engineer85000GBP109024GBM
32020MIProduct Data Analyst20000USD20000HNS
42020SEMachine Learning Engineer150000USD150000USL
  • 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, let's review the data types in statistics, and afterward, you'll match each column name with its respective type.

question-icon

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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Section 2. Chapter 1
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