Profile datasets and translate statistics into business narratives.
npx skills add https://github.com/fabioc-aloha/tldr --skill data-analysis-fabioc-aloha
Please help me install this Agent Skill. Skill: data-analysis Source: https://github.com/fabioc-aloha/tldr/tree/main/.github/skills/data-analysis Command: npx skills add https://github.com/fabioc-aloha/tldr --skill data-analysis-fabioc-aloha
Data Analysis enables turning raw data into actionable insights by performing profiling, distribution exploration, correlation discovery, anomaly detection, and translating statistics into narrative business-value.
Start by profiling your dataset, generating key statistics, and translating the findings into business-ready insights.
High-intent search queries and answers about installing and using this skill.
Exploratory data analysis profiles your dataset to assess quality and structure, computes descriptive statistics, explores distributions, discovers correlations, and detects anomalies to expose underlying patterns.
Translating statistics into business insights involves converting statistical findings into narrative business-value using DIKW-based storytelling, providing recommended next steps and story intents for dashboards.
Data profiling applies across domains and data sizes to assess dataset readiness, while modular capabilities support anomaly detection, relationship discovery, and segmentation for both small tabular datasets and larger corpora.
Correlation discovery during distribution analysis computes key metrics and explores distributions to identify relationships between variables, exposing patterns and anomalies for segmentation and time-series analysis.
An end-to-end EDA pipeline includes modular capabilities for profiling, statistics, segmentation, time-series analysis, and DIKW-based insight translation, delivering configurable outputs for actionable data-driven insights.
Anomaly detection and time-series analysis process tabular datasets and larger corpora without specific data format dependencies, applying profiling and statistics to uncover anomalies and relationships.
brainbrewlabsProfile and clean tabular datasets, then write a cleaned file with a change report.
gracefullightGenerate interactive Plotly visualizations for data analysis and reporting.
h4vzzPerform statistical analysis on structured datasets using pandas, numpy, scipy, and statsmodels.
youyinnnProvide a unified Python toolkit for time series machine learning tasks.
