$ loading_
Analyze local CSV files with natural language for filtering, merging, and insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "csv-analyzer" yet — see the docs or source repo.
Read my local chat_logs.csv, calculate daily conversation counts, average message length, and active users by date, then summarize trends over the last 30 days.
Returns day-by-day aggregated metrics with a brief analysis of the past 30 days' trends.
Open sales.csv, find records where the amount is greater than 10000 and status is refunded, sort by amount descending, and keep only order ID, customer name, amount, and date.
Outputs a filtered table of matching records for quickly identifying unusual orders.
Merge january.csv, february.csv, and march.csv, summarize revenue and order count by product category, and list the top 5 categories by revenue.
Generates a merged category summary and provides the top five categories by revenue.
Analyze local CSV or Parquet datasets and generate insights without full uploads.
Load datasets, compute statistics, and create charts for data exploration.
Explore CSV datasets with summaries, cleaning, correlations, and statistical tests.
Analyze sales data in natural language, create charts, and export results.
Run statistical analysis, probability calculations, and data processing through natural language.
Generate visual summary reports from CSV data without exposing raw data.