MrSteve2

@MrSteve2·5 public vizzes

Claude.md File for Data Analytics

This example shows a markdown file that defines coding standards and architectural principles for building data analytics dashboards. It emphasizes loose coupling, high cohesion, and composability for visualization components, alongside strict Python code style rules like PEP 8 and type hints. The document outlines a development workflow that prioritizes simple, evolving designs and testing with edge cases. The file itself is a static configuration artifact, not a live visualization, and appears to be used as a project-guiding document rather than rendering data.

Dec 26, 2025

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Initial Claude.md file for analytics

This example defines a structured architecture for building analytics dashboards with Python and Plotly Dash. It establishes a hierarchy where atomic chart types like `create_bar_chart()` and `create_line_chart()` form composable building blocks that combine into higher-level composite visualizations, such as KPI cards with sparklines. The code specifies a standard function signature pattern that accepts tidy-format Pandas DataFrames and supports returning either Plotly `go.Figure` objects or Dash `dcc.Graph` components for flexible reuse. A configuration file provides named color schemes, while the design principles emphasize loose coupling, high cohesion, and BDD/TDD testing practices.

Nov 3, 2025

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Gitignore for Dash apps

This example demonstrates a comprehensive `.gitignore` configuration for Dash applications, organizing ignore rules by category such as Python bytecode, virtual environments, IDE settings, and platform-specific files. The code excludes common generated artifacts like `__pycache__`, `.venv`, `.env`, and Jupyter checkpoint folders, while leaving commented placeholders for potential data files. It leverages standard Git ignore syntax with globbing patterns, including optional exclusions for project-specific directories when needed.

Oct 3, 2025

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Git Tips and Tricls

This visualization presents a collection of Git command-line tips and tricks, sourced from a gist by MrSteve2. It displays the commands as text-based data, showing both the raw shell syntax and the intended purpose of each operation. The example uses plain text rendering without any specific charting libraries or APIs, relying on a straightforward textual layout to present the commands and their descriptions. The data is encoded directly in the gist file as a list of shell commands, such as using `git branch | grep -v master | xargs git branch -D` for cleaning up local branches, and `git config --global push.default current` for changing push behavior.

Dec 6, 2023

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dc.js - Row Chart Example

This example demonstrates a dc.js row chart that visualizes experimental data loaded from a CSV file. The chart displays horizontal bars representing each experimental run, with bar lengths determined by a reduceSum of the Speed and Run values divided by 1000. Using crossfilter for data manipulation, the code creates a dimension on the Run field and applies the reduction to the Speed values. The chart uses d3.scale.linear with an elastic x-axis that adjusts to the data domain, rendering within a 768 by 480 pixel container.

Aug 27, 2017