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cccskills

Results for “matplotlib”

163 skills · sorted by relevance

doctor

FreeSummary

Check whether tools for mathematical modeling, numerical analysis, charts, and paper compilation are installed. Get a report separating required and optional dependencies, platform-specific installation commands, and a follow-up check after approved installation.

  • Preparing a computer for mathematical modeling
  • Checking missing paper compilation and charting tools
  • Installing required dependencies after reviewing the commands
jihe520/MathModelAgent6.2KUpdated Oct 3, 2026

trend-analysis

FreeSummary

Group Excel figures by department or product line, assign performance tiers, and calculate projections using growth rates set for each tier. Compare current and projected values in charts and summarize overall growth for target setting.

  • Setting sales targets by department
  • Estimating production targets by product line
  • Comparing projections under tier-specific growth assumptions
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

Analyze Excel workbooks across multiple sheets, locate matching fields, clean values, and compare groups. Produce counts, cross-tabulations that compare categories, charts, and an Excel report with a download link.

  • Count matching fields across multiple sheets
  • Clean numeric values and merged-cell groups
  • Compare counts and shares by category
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

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 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

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

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

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

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

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

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

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

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 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

Extract selected ranges from Excel workbooks with multiple sheets, check missing values, and clean numeric data. Fit a straight trend line, save charts and CSV results, and convert larger tables to Parquet for subsequent analysis.

  • Checking missing values and category counts in a selected sheet
  • Extracting numeric pairs from selected rows and columns
  • Creating a scatter plot with a straight trend line
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

Clean Excel data, summarize groups, and examine relationships between numeric columns. Produce charts such as scatter plots with trend lines, calculate measures of fit and statistical significance, and export cleaned data and statistical summaries.

  • Clean missing group labels and numeric text
  • Compare group averages and variation
  • Analyze numeric relationships with scatter plots and trend lines
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Analyze Excel files with 10,000 or more rows using reading methods suited to their size. Convert data to Parquet, a column-based storage format, reduce memory use, and prepare summaries, charts, or filtered exports.

  • Summarizing regional sales from 100,000 rows
  • Exporting high-value transactions from a million-row log
  • Speeding up repeated analysis with Parquet
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Extract text and data from images of charts, tables, interfaces, and diagrams using a vision model, an AI that reads images. Turn the results into structured tables, recreate charts, or export data to Excel and CSV.

  • Convert a table screenshot into Excel or CSV
  • Extract values from a chart and recreate it
  • Describe the layout and components of a UI screenshot
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Clean category data in Excel, group entries, and calculate counts, totals, and shares. Create a summary spreadsheet with a total row and highlighted maximum values, alongside a bar chart for comparing groups.

  • Cleaning category labels before analysis
  • Combining labels into defined groups
  • Calculating group counts, totals, and shares
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Compare counts and shares for two categories in Excel data. The skill cleans the selected columns, calculates differences and percentages, and produces a summary spreadsheet plus bar and pie charts.

  • Comparing counts for two categories
  • Visualizing category shares
  • Cleaning merged-cell data before counting
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Clean categorical Excel data and compare counts and percentage shares across groups. Create cross-tabulation tables, heatmaps that show differences through color, and category rankings, then export the analysis to a workbook with multiple sheets.

  • Compare award distributions across organizations
  • Visualize category shares with a heatmap
  • Identify leading groups within each category
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026