Programming

by benchflow-ai

automationdata

Python and R programming for data analysis, automation, and reproducible analytics

Skill Details

Repository Files

7 files in this skill directory


name: programming description: Python and R programming for data analysis, automation, and reproducible analytics version: "2.0.0" sasmp_version: "2.0.0" bonded_agent: 05-programming-expert bond_type: PRIMARY_BOND

Skill Configuration

config: atomic: true retry_enabled: true max_retries: 3 backoff_strategy: exponential code_execution: sandboxed

Parameter Validation

parameters: language_focus: type: string required: true enum: [python, r, both] default: python skill_level: type: string required: true enum: [beginner, intermediate, advanced, expert] default: beginner focus_area: type: string required: false enum: [fundamentals, pandas, visualization, automation, ml, all] default: all

Observability

observability: logging_level: info metrics: [code_execution_success, test_pass_rate, performance_score]

Programming for Data Analytics Skill

Overview

Master Python and R programming for data analysis, from basic syntax to advanced data manipulation and automation.

Core Topics

Python for Data Analysis

  • Python fundamentals and syntax
  • Pandas for data manipulation
  • NumPy for numerical computing
  • Data cleaning and preprocessing

R for Statistics

  • R fundamentals and tidyverse
  • dplyr for data transformation
  • ggplot2 for visualization
  • Statistical modeling in R

Data Wrangling

  • Reading various file formats (CSV, JSON, Excel, Parquet)
  • Handling missing data
  • Data type conversions
  • Merging and reshaping datasets

Automation & Reproducibility

  • Jupyter notebooks and R Markdown
  • Script automation and scheduling
  • Version control with Git
  • Environment management (conda, venv)

Learning Objectives

  • Write efficient Python code for data analysis
  • Use R for statistical computing
  • Automate repetitive data tasks
  • Create reproducible analysis workflows

Error Handling

Error Type Cause Recovery
ImportError Missing package pip/conda install package
SyntaxError Invalid code Check syntax, use linter
MemoryError Data too large Use chunking or dask
TypeError Wrong data type Explicit type conversion
FileNotFoundError Missing file Verify path, check permissions

Related Skills

  • databases-sql (for data extraction)
  • statistics (for statistical programming)
  • advanced (for machine learning implementation)

Related Skills

Xlsx

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

data

Clickhouse Io

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

datacli

Clickhouse Io

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

datacli

Analyzing Financial Statements

This skill calculates key financial ratios and metrics from financial statement data for investment analysis

data

Data Storytelling

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

data

Kpi Dashboard Design

Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.

designdata

Dbt Transformation Patterns

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

testingdocumenttool

Sql Optimization Patterns

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

designdata

Anndata

This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.

arttooldata

Xlsx

Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis.

tooldata

Skill Information

Category:Data
Version:2.0.0
Last Updated:1/22/2026