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Pandas Skill Practice Dataset
Data Science and Analytics
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About
This dataset is designed for individuals to practice and enhance their Pandas skills. Pandas, a fundamental Python library, is widely used for working with datasets, offering robust functions for analysing, cleaning, exploring, and manipulating data. This resource enables users to apply statistical theories to data, clean untidy datasets, and transform them into readable and relevant formats, which is crucial for data science endeavours. It allows exploration of data characteristics such as correlations, averages, maximum, and minimum values.
Columns
The dataset contains 5 columns:
- Duration: Represents the time in minutes for an activity. It ranges from 30 to 450 minutes, with a mean value of 68.4.
- Date: Indicates the date of the recorded activity, with examples like '2020/12/12'. There are 30 unique dates, with '2020/12/12' being the most frequent.
- Pulse: Measures the pulse rate, with values typically between 90 and 130, and an average of 104.
- Maxpulse: Represents the maximum pulse recorded, ranging from 101 to 175, with a mean of 129.
- Calories: Shows the number of calories burned, with values from 195 to 479, and an average of 305.
Distribution
The dataset is provided in a CSV file format and has a compact size of 999 bytes. It features 5 distinct columns. The number of records varies slightly per column due to some missing entries, with most columns containing 30 to 32 entries. For instance, the 'Calories' column has 30 valid entries, while 'Duration', 'Pulse', and 'Maxpulse' each have 32 valid entries.
Usage
This dataset is ideal for:
- Practising data analysis, cleaning, exploration, and manipulation using the Pandas library in Python.
- Learning how to identify correlations between different data points.
- Calculating basic statistics such as average, maximum, and minimum values.
- Developing skills in exploratory data analysis and data cleaning.
Coverage
The dataset primarily focuses on activity measurements. While no specific geographic or demographic scope is indicated, the time range includes dates in December 2020. It should be noted that a small percentage of data is missing for the 'Date' (3%) and 'Calories' (6%) columns.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly useful for:
- Beginners and students learning data analysis with Python Pandas.
- Data science enthusiasts looking for practice material.
- Educators demonstrating data manipulation and statistical concepts.
- Anyone interested in cleaning and exploring small datasets.
Dataset Name Suggestions
- Pandas Skill Practice Dataset
- Python Data Analysis Starter Kit
- Introductory Data Cleaning Exercise
- Fitness Metrics Pandas Practice
- Data Exploration Tutorial Data
Attributes
Original Data Source: Pandas Skill Practice Dataset
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