excel-bar-chart-visualization

To create a bar chart from multi-sheet Excel data, this Skill merges datasets, restores merged-cell values, computes cross-group counts, and renders a formatted Matplotlib bar chart. It exports the computed statistics, including total rows, to an Excel file.

Cleaning merged-cell values in Excel involves normalizing key fields via regex and restoring merged-cell content using forward fill and logical reconstruction. This Skill automates that data cleansing process before computing cross-group counts for visualization.

Matplotlib supports Chinese and English category labels for Excel bar charts by applying configurable font settings. This Skill renders a visually enhanced bar chart with readable bilingual labels directly from the aggregated Excel summary.

Aggregating two-dimensional cross-tab style data from multiple Excel sheets requires concatenating dataframes and mapping values into standardized categories. This Skill computes single-dimension counts and two-dimensional cross-group aggregation for reporting.

You can export cross-group statistics with a total row to an Excel file using this Skill. It calculates the cross-group counts from merged multi-sheet data and outputs the complete summary, including the totals, for analysis.

Excel bar charts show missing values after merging multiple sheets because merged-cell content is lost during concatenation. This Skill resolves the issue by applying forward fill and logical reconstruction to restore the values before counting.