car-sales-data-engineering-analytics

This skill provides a data engineering and analytics framework for processing car sales datasets. It includes ETL pipelines, statistical modeling, and an interactive Streamlit dashboard to visualize sales trends, pricing, and demographic insights.

340
Installs
6
Use cases
9/10
Quality

Is car-sales-data-engineering-analytics safe to install?

Review the source first

Review the source first: our audit of car-sales-data-engineering-analytics's source files found 6 shell commands, 0 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands for environment setup and pipeline execution, and performs read/write operations on local CSV and image files.

How we audit skills: our security review methodology.

Who is this skill for?

Data analysts and engineers working with automotive sales datasets who require statistical modeling and visualization tools.

What can you do with it?

  • Process and clean automotive sales CSV data
  • Generate statistical summaries and revenue metrics
  • Perform regression analysis on car prices
  • Visualize sales trends and regional patterns
  • Build interactive dashboards for dealership data
  • Detect data outliers and test for normality

How good is this skill?

Quality score: 9/10. The skill provides clear documentation, modular code structure, and comprehensive examples for both programmatic and interactive usage.

What does the skill file contain?

SKILL.md
# Car Sales Data Engineering & Analytics

> Skill by [ara.so](https://ara.so) — Data Skills collection.

A comprehensive data engineering and analytics framework for processing ~24K car sales records with ETL pipelines, statistical modeling, and interactive Streamlit dashboards. Provides 15 pre-built analyses covering pricing trends, regional patterns, demographic insights, and feature correlations.

## Installation

This project uses `uv` for package management:

```bash
# Clone the repository
git clone https://github.com/Abdumalik-ProDev/Car-Sales-Data-Engineering.git
cd Car-Sales-Data-Engin...

Frequently asked questions

What data format does this skill require?

The skill expects a CSV file, with a default path at data/Car sales.csv.

How many pre-built analyses are included?

The framework includes 15 pre-built analyses, ranging from price distribution and regional sales to multiple linear regression and normality testing.

Can I customize the dashboard appearance?

Yes, you can customize the dashboard by creating a .streamlit/config.toml file.

What dependencies are required?

The skill requires Python 3.10+, pandas, numpy, matplotlib, scipy, and streamlit.

Data sourced from aradotso/data-skills on GitHub. Install counts from skills.sh. The summary and security audit are derived from the skill's source files: every command and URL listed appears verbatim in the source.

Related skills

analytics

17.3K

Marketing professionals, product managers, and developers responsible for setting up or improving analytics tracking and measurement

The analytics skill provides a framework for planning, implementing, and auditing marketing and product tracking. It guides users through defining business requirements, establishing event naming conventions, configuring GA4 and GTM, and validating data quality.

lowanalyticsmarketingcoreyhaines31

ab-testing

16.1K

Product managers, growth marketers, and developers responsible for conversion optimization and experimentation

This skill provides a framework for planning, designing, and managing A/B tests and growth experimentation programs. It guides users through hypothesis generation, statistical rigor, metric selection, traffic allocation, and result analysis.

lowexperimentationab-testingcoreyhaines31

seo-audit

2.2K

Website owners, SEO professionals, and developers requiring automated site health assessments

The seo-audit skill performs a comprehensive website SEO audit by crawling up to 500 pages and delegating analysis to specialized subagents. It generates a health score and a prioritized action plan.

highseoauditagricidaniel

content-experimentation-best-practices

1.9K

Developers, content strategists, and product managers planning or implementing content experiments

The content-experimentation-best-practices skill provides guidance on A/B testing, multivariate testing, statistical significance, and experimentation workflows. It offers structured references for experiment design, statistical foundations, CMS integration, and common pitfalls.

lowexperimentationab-testingsanity-io