Contenido del Curso
Learning Statistics with Python
Learning Statistics with Python
2. Mean, Median and Mode with Python
4. Covariance vs Correlation
Examine 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_year | experience_level | job_title | salary | salary_currency | salary_in_usd | company_location | company_size | |
---|---|---|---|---|---|---|---|---|
0 | 2020 | MI | Data Scientist | 70000 | EUR | 79833 | DE | L |
1 | 2020 | SE | Machine Learning Scientist | 260000 | USD | 260000 | JP | S |
2 | 2020 | SE | Big Data Engineer | 85000 | GBP | 109024 | GB | M |
3 | 2020 | MI | Product Data Analyst | 20000 | USD | 20000 | HN | S |
4 | 2020 | SE | Machine Learning Engineer | 150000 | USD | 150000 | US | L |
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.
¿Todo estuvo claro?
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Sección 2. Capítulo 1