# Data Science Samples

Comprehensive data science examples covering pandas, numpy, matplotlib for data manipulation, analysis, and visualization

> Canonical page: https://elysiatools.com/en/samples/data-science

- **Category:** Data Science

- **Keywords:** data-science, pandas, numpy, matplotlib, data-analysis, visualization, data-processing, python

## Overview

Comprehensive data science examples covering pandas, numpy, matplotlib for data manipulation, analysis, and visualization

## Examples

- **NumPy Fundamentals**: Essential NumPy operations for numerical computing including array manipulation, mathematical operations, and linear algebra
- **Pandas Data Analysis**: Complete pandas workflow for data manipulation, cleaning, analysis, and time series operations
- **Matplotlib Visualization**: Complete guide to data visualization with matplotlib and seaborn for creating publication-quality plots and charts

## When to use

- Use this sample set when you want reference inputs for Data Science Samples.
- Use it to preview output formats and compare related sample variants.

## How it works

- Open a sample entry to inspect the prepared example payload or asset.
- Compare it with related tools to understand how the workflow connects.

## Use cases

- NumPy Fundamentals
- Pandas Data Analysis
- Matplotlib Visualization

## Frequently asked questions

### What is included in Data Science Samples?

This page includes curated sample entries, related tools, and neighboring sample collections for Data Science Samples.

## Related tools

- [Convert GIF to Raw Pixel Buffer](https://elysiatools.com/en/tools/gif-to-raw): Export GIF frames as raw pixel buffer data for analysis, rendering pipelines, and low-level image processing.
- [Batch Image Trim](https://elysiatools.com/en/tools/batch-image-trim): Trim multiple images simultaneously using various trimming methods with batch processing and ZIP output
- [Column Calculator](https://elysiatools.com/en/tools/column-calculator): Perform calculations on columns and add new rows
- [Uniform Corrosion Rate Calculator (Weight Loss)](https://elysiatools.com/en/tools/corrosion-rate-calculator): Uniform corrosion rate by weight loss per ASTM G1: CR (mm/a) = 87.6 × ΔW / (ρ × A × t), with ΔW in mg, ρ in g/cm³, A in cm², t in hours. Also reports mpy (mils/year = mm/a × 39.37) and an indicative NACE-style carbon-steel rating (excellent/good/fair/poor). Used for immersion tests and coupon exposure.
- [Data Append Merger](https://elysiatools.com/en/tools/data-append-merger): Vertically append and merge multiple data tables with intelligent column matching
- [Fraction / Decimal / Percent Visual Tutor](https://elysiatools.com/en/tools/fraction-decimal-percent-visualizer): One value, three linked notations — pie, bar, percent grid and number line — with a live-synced slider, exact repetend detection and practice exercises.
- [JSON File Merger](https://elysiatools.com/en/tools/json-merger): Merge multiple JSON files with various merging strategies (deep merge, overwrite, combine arrays, etc.)
- [Row Calculator](https://elysiatools.com/en/tools/row-calculator): Perform calculations on each row and add new columns

## Related content

- [Streamlit Samples](https://elysiatools.com/en/samples/streamlit): Python data application framework examples for creating interactive web apps with minimal code for data science and machine learning