stock-prices
Query real-time stock prices and market data using the Stock Prices API. Responses are in TOON format—decode with @toon-format/toon. Use when fetching stock…
Skills
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Updated 11-05 00:16
Data & analytics
17,414 results
us-stock-analysis
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart…
weather-data-fetcher
Fetch current weather and forecast data from a free weather API (Open-Meteo).
categorical-comparison-analysis
Perform a comparative analysis of two categories of classification data, calculate quantity differences and proportional relationships, and generate visualization charts.
category-statistics
Extract the specified category column and count the quantity and proportion of each category, generating a high-resolution combined visualization report such as bar charts and pie charts, suitable for analyzing the distribution of categorical data.
chart-embedded-export
Extract category distributions from structured data, perform cleaning and statistics, and generate multi-dimensional cross-analysis, high-resolution comparison charts, and a complete analysis report containing download links, suitable for large file processing and embedded visualization scenarios.
condition-filtering-and-large-file-optimization
Dynamically select processing strategies based on data scale.
dynamic-large-file-parquet-analysis
Dynamically count the total number of rows in Excel. When the data volume is too large (≥10000 rows), automatically convert to Parquet format to speed up reading, and perform conditional filtering, categorized summarization, and result export on the specified target columns. It is suitable for fast reading and statistical analysis of extremely large Excel files.
dynamic-percentage-and-large-file-analysis
Dynamically switch large-file processing strategies (Parquet conversion) based on the number of file rows, extract key metrics through line-by-line scanning or column matching, calculate statistics such as proportions and averages, and finally output structured Excel reports and visualization charts.
excel-bar-chart-visualization
Read multi-sheet Excel files, automatically handle merged cells and data cleaning, perform cross-group statistics and generate a result table with a total row, and finally draw beautified bar charts that support Chinese and English fonts, suitable for multi-dimensional data aggregation and visual analysis.
excel-conditional-filtering-optimization
Filter Excel data based on multi-dimensional numerical conditions and export the results, supporting automatic performance optimization for large-scale data processing.
excel-data-analysis-and-report-generation
Extract multiple types of data from Excel and generate a comprehensive analysis report containing visualized charts and download links.
excel-sheet-filter-export
Dynamically count the number of rows in a multi-sheet Excel file to determine the large-file processing logic, and based on specific conditions filter data, rename fields, and export to a new Excel file containing a download link. Suitable for multi-sheet data exploration and conditional filtering export scenarios.
excel-statistical-viz-large-file
Perform multi-dimensional statistical analysis and visualization on Excel data.
excel-threshold-analysis-and-styling
Automatically determine the processing strategy based on the Excel data volume, perform numeric column cleaning and conditional filtering, and use openpyxl to apply style marking to eligible cells and export.
formatted-export-with-parquet
Identify records that meet specified conditions from a multi-sheet Excel file, and export the filtered results as an Excel file with entire rows highlighted in red, suitable for data cleaning, conditional filtering, and visual marking scenarios.
group-by-analysis
Perform row count statistics on multi-sheet Excel files, large file Parquet conversion preprocessing, data cleaning, and grouped aggregation analysis, and generate styled statistical tables and visualization charts.
grouped-statistics
Perform row count statistics, data merging, and forward filling on multi-sheet Excel files.
invalid-data-cleaning
Used for preprocessing large-scale Excel data, determining by counting the total number of rows whether to convert to Parquet format to improve read/write efficiency, and using regular expressions to clean specified text columns (e.g., keep only Chinese characters), and finally exporting the cleaned file and providing a download link.
large-file-conditional-formatting
Automatically switch to Parquet-accelerated reading based on the total number of rows in Excel, calculate the time series average for specific dimensions, and use openpyxl to output an analysis report with conditional formatting (such as marking values below the average in green) and custom styles.
large-file-kpi-analysis
Automatically select a reading strategy based on data volume (convert large files to Parquet), extract key metrics for unit consistency validation and sorting analysis, and output a downloadable result table.
line-chart-visualization
Extract structured data, perform feature cleaning and clustering analysis, and generate multi-dimensional comprehensive visualization charts including trend comparison, distribution characteristics, and parameter sensitivity, suitable for various trend forecasting and multi-dimensional comparison scenarios.
multi-file-excel-parquet-analysis
Read multi-sheet Excel files and measure their scale, supporting large-file conversion to Parquet format, categorical data statistics, and visualization report generation.
multi-sheet-reading-and-analysis
Used to read multi-sheet Excel files, dynamically assess data volume to enable Parquet large-file optimization, and perform regex cleaning, categorical summarization, linear fitting, and generate formatted charts and result files.