A spreadsheet often contains more information than one chart should carry. Monthly inquiries might be divided by source, response time, and outcome. Showing all three dimensions together makes the reader perform several analyses at once. Begin by writing a question: which channel produced the most inquiries last quarter? That question determines the data selection and gives the finished chart a specific job.
Narrow the comparison
For this example, start with one total for each channel over the same period. Before drawing anything, check whether inquiries can be counted more than once, whether every channel is included, and what a blank cell means. Missing information is not automatically zero. A polished chart can conceal those distinctions rather than resolve them.
A bar chart can compare categories, while a line can show change over consecutive months. Keep the time intervals consistent even when a month has disappointing results. An additional measure often deserves a second small chart instead of another axis squeezed into the first one. Choose the comparison before choosing colors or a presentation theme.
Give labels enough work to do
Identify the period, unit, and counting method. A title such as “Inquiries by channel, January through March” says more than “Results.” Percentages need a clear denominator: a share of all inquiries is different from a share of inquiries with a known source. Quantitative bars should normally start at zero because their lengths represent the values. If another chart type uses a restricted axis range, make the range visible and consider the impression it creates.
Skip three-dimensional effects that add decoration rather than information. One accent color can identify the channel under discussion, with quieter colors for the others. Labels or other visual cues should preserve the distinction without depending on color alone. Avoid making readers repeatedly jump between the plotted values and a distant legend.
Check the result against the table
Read three values from the chart and compare them with the underlying data. Then check whether a filter or hidden row changed the selection. When you export the chart, inspect that exported version rather than assuming it matches the editor.
Add a short written statement of the finding. Complex graphics may also need the underlying values or a fuller description. Finally, show the chart to someone who has not seen the workbook. Can that person answer the original question without a spoken explanation of how the graphic works?