Data Report Analysis

Check the Structure First

Real spreadsheets are rarely clean. LanMate doesn’t just treat the first row as the header and start calculating; it first runs a structural check with xlsx: which row the header sits on, whether subtotal or total rows are mixed in, duplicate rows, numbers stored as text, placeholders masquerading as blanks, merged cells, and mixed date formats.

First look at the structure of this sales sheet and flag what I can't analyze directly

The check reports which rows and columns the problems sit in, and only then are the cleaning rules decided.

Data Cleaning

Clean it based on that check: drop duplicate rows, standardize date formats, fill missing values with the regional median, and save a copy

Cleaning outputs a new file plus a summary of changes; the original file is left untouched by default.

Statistics & Formulas

Summarize sales and profit margin by region, and calculate year-over-year growth

• Summaries are written as Excel formulas rather than hard-coded numbers
• After writing, it recalculates automatically and confirms there are no #REF! / #DIV/0! / #VALUE! errors before delivery
• Complex analysis runs on the built-in offline Python; data never leaves your machine

Charts

Create a sales trend line chart and a regional share pie chart

chart_create renders PNGs directly from a data object, supporting bar, line, pie, radar, scatter, Gantt, and heatmap charts. Charts can be:

• inserted into Word / PPT / PDF as illustrations
• delivered as standalone images
• when they need to stay editable inside Excel, use native workbook charts instead of pasted images

Chart titles carry units and periods; if sample data is used, that is called out explicitly on delivery.

Report Output

Turn the analysis into a one-page presentation, using the PNGs just generated

Conclusions, key figures, and charts are assembled into slides; each figure is labeled as user-provided, read from a file, or sample data.

Local by Default

Spreadsheet reading, formula recalculation, Python analysis, and chart rendering all run on your computer by default; when the session runs in a cloud slot, the analysis happens inside your organization’s private sandbox, and data still never leaves the organization.