time-series-and-categorical-analysis
OfficialMultidimensional trend analysis and visualization for business data.
AuthorOpenSenseNova
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables users to perform comprehensive trend analysis, data cleaning, and predictive modeling on time-series or categorical datasets, facilitating informed business decisions.
Core Features & Use Cases
- Trend Detection and Data Cleaning: Processes percentage-formatted data, analyzes their trends, and cleans raw data for accuracy.
- Predictive Modeling: Classifies data into levels based on multidimensional segmentation and forecasts future values.
- Visualization: Generates high-resolution visual reports, including stacked area charts, bar graphs, and distribution charts, aiding in clear presentation of trends and projections.
- Use Case: For business analysts monitoring key performance indicators across regions, this Skill provides automated insights, visual dashboards, and forecasts to inform strategic adjustments.
Quick Start
Load your dataset into Excel, specify the time and metric columns, and run the analysis to generate trend visualizations and forecasts.
Dependency Matrix
Required Modules
pandasnumpymatplotlibseabornwarnings
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: time-series-and-categorical-analysis Download link: https://github.com/OpenSenseNova/SenseNova-Skills/archive/main.zip#time-series-and-categorical-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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