Course Content
ICDL Complete Course

Module 5 – Spreadsheets

Lesson 6 – Charts and Data Visualisation

Charts help turn data into clear visuals. They show patterns, comparisons and trends more effectively than raw numbers. This lesson explains how to create and edit basic charts.

1. Why use charts?

  • Show trends over time.
  • Compare categories or groups.
  • Highlight totals, highs and lows.
  • Make information easier to understand.

How to make a chart (graph) in Excel and save it as template

2. Common chart types

  • Column chart – compares values between categories.
  • Bar chart – similar to column charts but horizontal.
  • Line chart – shows trends over time.
  • Pie chart – shows parts of a whole.

Examples of when to use each:

  • Column chart – monthly sales comparison.
  • Line chart – sales trend through the year.
  • Pie chart – market share.
  • Bar chart – comparing product categories.

3. Selecting data for a chart

Select the data you want before creating a chart.

  • Select headings and values together.
  • Avoid blank rows or columns.
  • Use clear headings (e.g., Month, Sales).

Simple UK-style spreadsheet showing a chart-ready dataset with clear headings and no blank rows or columns. The table includes two columns: 'Month' and 'Sales'. The months listed are Jan, Feb, Mar, Apr, May, and Jun. The sales values are random numbers: 42, 67, 53, 88, 74, and 95. The header row is shaded light grey, and the cells have visible gridlines. The layout is clean and minimal, suitable for chart selection.

4. Creating a chart

Basic steps (Excel, Google Sheets):

  • Select the data range.
  • Choose Insert > Chart.
  • Select the chart type.

Screenshot of Microsoft Word interface showing Insert menu with Chart option highlighted

5. Editing chart elements

You can edit parts of a chart after creating it.

  • Chart title – describe what the chart shows.
  • Axis titles – label the axes clearly.
  • Legend – explains colours or lines.
  • Data labels – show values directly on the chart.
  • Chart colours – improve visibility or match a theme.

Generated Image

6. Changing the data range

You can expand or reduce the data used in a chart.

  • Add a new month and extend chart range.

Generated Image

7. Moving and resizing charts

  • Click and drag to move.
  • Drag corner handles to resize.
  • Place charts on a separate sheet for reports.

A digital screenshot showing an Excel chart being moved and resized. The chart is a column chart titled 'Monthly Values (UK)', with axes labeled 'Month' and 'Value', and a legend labeled 'Value'. The chart is selected with visible handles around its border for resizing. A four-headed arrow cursor is shown near the chart's edge indicating movement. The spreadsheet background includes a simple data table with months and values. The layout is clean and minimal, styled for UK presentation.

8. Choosing the correct chart type

  • Column chart – comparisons.
  • Line chart – trends.
  • Pie chart – percentages.
  • Bar chart – long category names.

Comparison chart showing different chart types and their uses in a UK context. The image includes a table with columns: 'Chart Type', 'Best For', 'Example Use Case (UK Context)', and 'Notes'. Chart types listed are Column Chart, Line Chart, Pie Chart, Bar Chart, Area Chart, Scatter Plot, and Combo Chart. Each row includes a brief description and example, such as 'Monthly enrolments for ICDL courses' for Column Chart and 'Website traffic growth over 12 months' for Line Chart. The design is clean and professional, with a white background, black text, and subtle grey gridlines. Fonts are sans-serif and layout is suitable for educational or business presentation.

9. Avoiding common chart mistakes

  • Avoid 3D charts (they can distort data).
  • Don’t add too many categories to a pie chart.
  • Use clear labels.
  • Ensure colours have good contrast.

Side-by-side comparison image showing a bad chart versus a good chart, with both charts fully visible and clearly labeled. The bad chart is a cluttered 3D column chart with inconsistent colors, no axis labels, and poor readability. It is labeled 'BAD CHART' with a red X. The good chart is a clean 2D column chart with a clear title 'Monthly Sales (UK)', labeled axes ('Month' and 'Sales'), consistent blue bars, and a legend labeled 'Sales'. It is labeled 'GOOD CHART' with a green checkmark. Both charts are sized and spaced to fit neatly within the image, with no cropping or overflow.

10. Practical Activity

  • Create a table of monthly sales data.
  • Insert a column chart.
  • Add a title and axis labels.
  • Change bar colours.
  • Create a line chart using the same data.
  • Create a pie chart showing % share for 4–5 items.

A finished example image showing three types of charts: column chart, line chart, and pie chart. The column chart displays monthly values from Jan to Jun with blue vertical bars. The line chart shows a trend line connecting data points from Jan to Jun, labeled 'Monthly Trend'. The pie chart shows proportions of five categories labeled A, B, C, D, and E with distinct colors. Each chart includes a clear title, labeled axes (where applicable), and a legend. The layout is clean and professional, styled for UK presentation.