查找技能

Clean numeric columns in Excel, filter records above a chosen threshold, and count matching rows. The skill also covers checking row totals across sheets and marking qualifying cells with formatting for export.

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• Filter Excel records above a chosen threshold
• Remove nonnumeric entries from a numeric column
• Count rows across all worksheets

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.

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• Summarizing data across multiple Excel sheets
• Cleaning merged cells and inconsistent category labels
• Comparing category counts and percentages

Extract keyword-matched entries from an Excel sheet, clean whitespace and empty values, and count distinct entries by category. Export separate Excel files containing summary counts and detailed lists for review.

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• Counting distinct facility names by category
• Extracting entries that match specific keywords
• Creating summary and detail reports from Excel data

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.

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• Cleaning numeric columns with unwanted prefixes
• Extracting Chinese characters from text fields
• Exporting cleaned data as an Excel file

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.

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• Calculate average scores for a selected class
• Sum equipment power values without duplicate items
• Export filtered records and summary statistics

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.

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• Find figures using keywords in rows
• Calculate averages for a selected category
• Calculate one figure as a percentage of another

Analyze large Excel workbooks by totaling values by category and identifying the highest result. The workflow can convert data to Parquet, a column-based storage format, and export a styled Excel report with highlighted results.

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• Assessing row counts across workbook sheets
• Converting large datasets to Parquet
• Finding the category with the highest total

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.

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• Compare record counts across categories
• Show category shares with pie and bar charts
• Exclude placeholder labels before counting

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.

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• Standardize numerical formats before calculating a column total
• Check detail totals against a summary sheet
• Export reconciliation results to Excel and CSV

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.

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• Checking outliers before data analysis
• Comparing outlier rates across numeric columns
• Reviewing distribution shape with box plots

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.

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• Clean worksheets containing merged cells
• Summarize category counts and percentages
• Compare groups with cross-tabulations

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.

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• Comparing totals across Excel sheets
• Cleaning inconsistent text and blank cells
• Charting category counts and proportions

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.

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• Combine metrics stored on separate Excel sheets
• Fill category gaps caused by merged cells
• Extract the top records by a selected metric

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.

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• Counting rows across every sheet in an Excel workbook
• Calculating category counts and percentages from Parquet data
• Creating a pie chart of category proportions

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.

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• Finding a target column by a keyword in its name
• Counting specified values across Excel sheets
• Extracting Chinese characters from mixed text

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.

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• Count records containing a specified risk level by work category
• Calculate group shares among matching records
• Summarize large datasets already converted to Parquet

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.

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

Filter Excel data using candidate column names, RGB color values, text prefixes, and regular expressions, which match text patterns. Calculate totals and averages, then export results to Excel with highlighted rows and a download link.

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• Filtering rows by RGB values or identifier prefixes
• Converting text to numbers and calculating totals or averages
• Extracting matching commands with their identifiers and descriptions

Filter Excel rows using conditions across several numeric columns. Count rows across sheets, convert selected fields to numbers, remove duplicate rows and records with missing identifiers, then export the filtered results to a new workbook.

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• Extract rows where several numeric columns are zero
• Clean numeric fields before filtering
• Remove duplicate rows and missing identifiers

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.

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• Extract rows matching a specific group
• Summarize category counts and percentages
• Export selected columns with clearer names

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.

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• Removing symbols and numbers from Chinese text columns
• Preparing large Excel datasets for analysis
• Combining sheets and exporting cleaned data

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.

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

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.

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• Summarize Excel records using custom categories
• Compare category distributions across groups
• Score and grade text using adjustable rules

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.

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• Compare numerical distributions across spreadsheet columns
• Count outliers using the interquartile range
• Extract error values from text and chart their distribution