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Exercism Python Solutions & Name Data
Data Science and Analytics
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About
Solving coding exercises sourced from the exercism.org platform for Python allows developers to document their progress and develop fluency in their chosen programming languages. This collection includes records related to the implementation and completion of these exercises, uploaded incrementally during personal time. A specific CSV file, named Nombres2019.csv, is also included, providing material for data analysis exercises concerning demographics and names.
Columns
The primary data file included, Nombres2019.csv, features three main columns:
- Nombre: Represents the name recorded in the dataset. This column contains over 18,000 unique values.
- Sexo: Denotes the sex associated with the name. The data indicates that approximately 98% of the valid entries are marked as False in the Boolean count.
- Recuento: Provides the count or frequency associated with the name entry. Statistical analysis of this column shows a mean value of 159, with the maximum recorded count exceeding 20,500.
Distribution
The data file, Nombres2019.csv, has a file size of 237.89 kB and is typically delivered in CSV format. It is structured around 3 columns. The dataset contains roughly 18,300 valid records or rows. While the expected update frequency is monthly, the current content reflects work completed during spare time.
Usage
This data product is ideal for several applications, including:
- Programming Practice: Users can reference the progression and methods used to solve coding challenges, specifically those available on Exercism.
- Data Science Education: Analysing the name data (Nombres2019.csv) offers practical exercises in data cleaning, statistical analysis, and demographic trending based on name counts and distribution.
- Mentorship: The exercise logs can be useful for mentors assessing development paths and common challenges faced by Python learners.
Coverage
The data primarily covers the scope of Python programming exercises from the Exercism organisation. The specific name data (Nombres2019.csv) provides a snapshot related to name distribution and counts from the year 2019. Details regarding geographic or specific demographic coverage beyond the recorded names and sex indicators are not specified.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
- Python Developers: Seeking supplementary material or examples for standard Exercism coding challenges.
- Students and Educators: For structured learning and teaching environments focused on Python fluency and introductory data manipulation.
- Data Enthusiasts: Interested in performing statistical analysis on the included demographic name data.
Dataset Name Suggestions
- Exercism Python Solutions & Name Data
- Python Fluency Practice Logs
- Nombres 2019 Data Extract
- Exercism Coding Metrics
Attributes
Original Data Source: Exercism Python Solutions & Name Data
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