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SenseNova

@OpenSenseNova

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SenseTime Foundation Model Sets

83 skills1 repository 5.8K

Skills (83)

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Clean Excel columns by removing unwanted prefixes from numeric values and extracting Chinese characters from text. Add the cleaned results as new columns, then save an Excel file and provide a download link.

  • Cleaning numeric columns with unwanted prefixes
  • Extracting Chinese characters from text fields
  • Exporting cleaned data as an Excel file
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Turn percentage strings into numeric data, calculate the remaining share needed to reach 100%, and create stacked bar charts. Compare category composition across periods or groups and save the chart as a high-resolution image.

  • Charting monthly changes in category shares
  • Comparing composition across groups
  • Calculating an Other category from remaining percentages
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Process multi-sheet Excel data by finding columns through keywords and counting specified values. Clean text fields to retain Chinese characters, then export the processed data as an Excel file with its size and download link.

  • Finding a target column by a keyword in its name
  • Counting specified values across Excel sheets
  • Extracting Chinese characters from mixed text
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Count rows across Excel sheets to assess data size, then analyze an existing Parquet file, a format for storing tabular data. Calculate category counts and percentages, and save the results as an Excel summary and a pie chart.

  • Counting rows across every sheet in an Excel workbook
  • Calculating category counts and percentages from Parquet data
  • Creating a pie chart of category proportions
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Combine data from multiple Excel sheets, clean inconsistent labels and merged cells, and summarize counts by category. Create Excel summary tables with percentages and totals, plus labeled bar charts for comparing categories.

  • Summarizing data across multiple Excel sheets
  • Cleaning merged cells and inconsistent category labels
  • Comparing category counts and percentages
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Clean a target Excel column, convert its values to numbers, and compare the calculated total with a summary sheet. Export the totals, match status, and difference in Excel and CSV files.

  • Standardize numerical formats before calculating a column total
  • Check detail totals against a summary sheet
  • Export reconciliation results to Excel and CSV
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Scan multiple Excel sheets for rows with missing or invalid entries in a target column. Combine matching records with their source sheet names, then export an Excel file with every extracted data row filled red for review.

  • Find missing entries across multiple Excel sheets
  • Create a review list with source sheet names
  • Export matching rows with red highlighting
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Analyze one Excel worksheet by cleaning column names, extracting numbers, and handling gaps from merged cells. Create category counts, percentages, cross-tabulations comparing groups, high-resolution charts, and CSV exports, with Parquet storage for the data.

  • Clean worksheets containing merged cells
  • Summarize category counts and percentages
  • Compare groups with cross-tabulations
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Clean Excel data and group records with similar numerical features. Produce a combined view of indicator trends, value distributions, category shares, and grouped data, then export the charts as an image and cleaned records as Excel.

  • Comparing trends across multiple indicators
  • Checking value distributions and category shares
  • Grouping records with similar numerical features
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Filter rows from Excel or previously converted Parquet files, a format designed for efficient data storage. Summarize matching records by group with counts, percentages, and totals, then export the summary to Excel.

  • Count records containing a specified risk level by work category
  • Calculate group shares among matching records
  • Summarize large datasets already converted to Parquet
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Inspect multi-sheet Excel files, use Parquet, a column-based file format, for larger datasets, and clean text before analysis. Produce category summaries, identify maximum values, and export formatted reports or scatter plots with fitted straight trend lines.

  • Assess data volume in multi-sheet Excel files
  • Clean unwanted characters from text columns
  • Summarize categories and highlight the maximum
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Analyze numerical data in Excel with box plots and an outlier summary. Extract error values from text containing the ± symbol, chart their distribution, and export statistical results as a CSV report.

  • Compare numerical distributions across spreadsheet columns
  • Count outliers using the interquartile range
  • Extract error values from text and chart their distribution
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Turn Excel or CSV data into an Excel report with category totals, percentage shares, and a doughnut chart. The workflow identifies likely category and numeric columns, cleans missing values, and highlights the largest share.

  • Compare spending shares by category
  • Summarize quantities or scores by category
  • Create an Excel report with a doughnut chart
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Clean category and numeric fields in structured data, compare groups with counts and cross-tabulations, and produce charts, Excel results, and a Markdown report. Export visuals as high-resolution PNG and SVG files for use in reports.

  • Compare category distributions across groups
  • Clean category labels and fill merged-cell gaps
  • Export analysis results to Excel
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Assess numeric Excel columns using IQR, a measure of the middle half of values, to flag outliers. Summarize counts and limits, create box plots, and examine distribution shape to inform data cleaning.

  • Checking outliers before data analysis
  • Comparing outlier rates across numeric columns
  • Reviewing distribution shape with box plots
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Combine selected columns from multiple Excel sheets, fill blank category cells with the preceding value, and rank records by a chosen metric. Export the top results to an Excel report with headings, borders, and formatted numbers.

  • Combine metrics stored on separate Excel sheets
  • Fill category gaps caused by merged cells
  • Extract the top records by a selected metric
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Calculate averages for selected groups in Excel and sum items extracted from specified row ranges after removing duplicates. Save filtered records, summary statistics, and item totals as Excel files with local download links.

  • Calculate average scores for a selected class
  • Sum equipment power values without duplicate items
  • Export filtered records and summary statistics
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Analyze Excel data by classifying items, calculating counts and percentages, and comparing categories across groups. Identify values above related limits, then produce a pie chart and an Excel statistics file with download links.

  • Summarizing category counts and percentages
  • Comparing categories across regions or other groups
  • Finding values that exceed related limits
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Filter rows from a selected Excel sheet, summarize category counts and percentages, and export the required columns to a new workbook. The workflow also cleans filter values, renames columns, and provides a download link.

  • Extract rows matching a specific group
  • Summarize category counts and percentages
  • Export selected columns with clearer names
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Find key figures in tabular data using column names or row keywords, calculate category averages and percentages, and export the results as a structured Excel report and a pie chart.

  • Find figures using keywords in rows
  • Calculate averages for a selected category
  • Calculate one figure as a percentage of another
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Prepare large Excel datasets by combining sheets, using Parquet, a format for efficient table storage, and cleaning a selected text column to retain only Chinese characters. Export the cleaned data as an Excel file with a local download link.

  • Removing symbols and numbers from Chinese text columns
  • Preparing large Excel datasets for analysis
  • Combining sheets and exporting cleaned data
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Analyze Excel data using custom categories, count distributions, and compare groups with charts. Score text using its length, technical terms, numbers, and selected complex concepts, then visualize difficulty levels and the relationship between text length and scores.

  • Summarize Excel records using custom categories
  • Compare category distributions across groups
  • Score and grade text using adjustable rules
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Clean data across multiple Excel sheets, compare totals between sheets, and summarize categories and proportions. Create charts and export a formatted workbook with unusual values highlighted for review.

  • Comparing totals across Excel sheets
  • Cleaning inconsistent text and blank cells
  • Charting category counts and proportions
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Count categories in a chosen data column after removing missing values and placeholder labels. Calculate each category’s share and create high-resolution charts combining counts, percentages, pie charts, and horizontal bars for distribution reports.

  • Compare record counts across categories
  • Show category shares with pie and bar charts
  • Exclude placeholder labels before counting
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

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