Be able to enhance the appearance of a graph or chart including extracting a pie chart sector, changing the colour scheme or fill patterns

Topic 16 – Graphs and Charts

Learning Objective

Students will be able to create a graph or chart from a data set, choose the most appropriate chart type, add labels, secondary axes and extra data series, and then enhance its appearance – including colour‑scheme selection, fill‑pattern use, exploding a pie‑chart sector, adding trendlines or error bars, and preparing the chart for printing or digital presentation.


1. Creating a Chart from Data

1.1 Selecting the Data

  • Open the worksheet that contains the data.
  • Contiguous range: click the first cell and drag to the last (e.g. A1:C7).
  • Non‑contiguous range: hold Ctrl (Windows) or (Mac) and click each block you need.
  • Named ranges (optional): define a name via Formulas ► Define Name and use the name in the chart wizard – useful for dynamic charts.
  • Ensure the first row (or column) contains labels; these become axis titles or legend entries automatically.

1.2 Inserting the Chart

  1. Select the required data range.
  2. Go to Insert ► Chart (or Chart Wizard in older spreadsheet packages).
  3. In the preview window choose the chart type that matches the data (see Section 1.3).
  4. Click OK/Insert. The chart appears on the worksheet and is automatically selected.

1.3 Choosing the Right Chart Type

Data SituationRecommended ChartKey Reason
Comparison of discrete categories (e.g., sales by region)Bar / Column chartShows individual values side‑by‑side.
Trend over time (e.g., monthly revenue)Line or Area chartEmphasises direction and rate of change.
Parts of a whole (e.g., market‑share percentages)Pie chart or 100 % stacked columnVisually displays each part’s proportion.
Distribution of a single variable (e.g., test scores)HistogramShows frequency of value ranges.
Relationship between two numeric variables (e.g., height vs. weight)Scatter plot (or Bubble chart if a third variable is needed)Displays correlation and, for bubbles, a third dimension.
Two data series with different units (e.g., sales £ and profit %)Combo chart with a secondary axisAllows each series to be read on its own scale.
Proportional comparison of many categories (e.g., market share of 12 brands)100 % stacked column or stacked barShows each part’s share of the total while preserving order.

1.4 Using Chart Templates & Quick‑Style Options

  • After creating a chart, go to Chart Design ► Save as Template to reuse the same formatting on other data sets.
  • Apply a built‑in Quick Style (e.g., “Style 1”, “Style 2”) to change colours, fonts and effects with one click.
  • Templates are especially useful for exam questions where a specific layout is required.


2. Adding Additional Data Series, Secondary Axes and Supporting Features

  1. Select the chart, then choose Chart Design ► Select Data (or “Edit Data”).
  2. Click Add and specify the range for the new series (e.g., D2:D7).
  3. To plot the new series on a secondary axis:

    1. Right‑click the series → Format Data Series.
    2. In the pane, choose Series Options ► Plot Series on Secondary Axis.
    3. Adjust the secondary axis scale if required (right‑click the axis ► Format Axis → set Minimum, Maximum, Major unit).

  4. Optional supporting features:

    • Data Table: Chart Elements ► Data Table adds a table of values beneath the chart.
    • Trendline: right‑click a data series → Add Trendline. Choose Linear, Exponential, etc., and optionally display the equation and R².
    • Error Bars: right‑click the series → Add Error Bars** → specify Fixed value, Percentage, or Custom range.
    • Data Markers (for line or scatter charts): Format Data Series ► Marker Options** – choose shape, size and colour.


3. Labelling a Chart

  • Chart TitleChart Elements ► Chart Title. Keep it concise (e.g., “Quarterly Sales 2024”).
  • Axis TitlesChart Elements ► Axis Titles. Use units (e.g., “Revenue (£ 000)”).
  • Axis Scaling & Tick Marks – right‑click an axis ► Format Axis. Set:

    • Minimum and Maximum values.
    • Major and Minor unit intervals.
    • Tick‑mark type (inside, outside, cross).

  • GridlinesChart Elements ► Gridlines. Show major gridlines for readability; hide minor gridlines unless needed for precision.
  • LegendChart Elements ► Legend. Position where it does not obscure data (top‑right, bottom‑center, etc.).
  • Data LabelsChart Elements ► Data Labels. Choose format (value, percentage, custom). For pie charts, percentages are usually most helpful.
  • Data Table – optional, adds a numeric table beneath the chart (useful for printed reports).


4. Enhancing the Appearance of a Chart

4.1 Colour Schemes – Including Colour‑Blind‑Safe Palettes

  1. Select the chart.
  2. Open Chart Design ► Change Colours and pick a built‑in theme or choose Customize Colours** to define your own palette.
  3. For examinations, colour‑blind‑safe palettes are recommended (see Table 2).
  4. If a single series needs a different colour, click that series → Format Data Series ► Fill ► Solid colour**.

Palette (Colour‑Blind Safe)Colour 1Colour 2Colour 3Colour 4
Blue‑Orange#0072B2#D55E00#009E73#CC79A7
Grey‑Green#555555#999999#009E73#F0E442

4.2 Applying Fill Patterns (Print‑Friendly)

Use patterns when colour alone may be lost in black‑and‑white printing.

  1. Select the data series (or a single data point).
  2. Open Format Data Series ► Fill & Line ► Fill ► Pattern fill.
  3. Choose a pattern (horizontal stripes, vertical stripes, diagonal cross‑hatch, dots, etc.) and set foreground/background colours.

PatternDescriptionBest Use
SolidUniform colourStandard colour‑based charts.
Horizontal StripesEvenly spaced horizontal linesPrint‑friendly differentiation.
Vertical StripesEvenly spaced vertical linesSide‑by‑side series comparison.
Diagonal Cross‑hatchIntersecting diagonal linesHighlight a specific series.
DotsRegularly spaced dotsSubtle visual cue.

4.3 Exploding (Extracting) a Pie‑Chart Sector

  1. Click the pie chart to select the whole chart.
  2. Click a second time on the slice you wish to emphasise.
  3. Drag the slice outward, or right‑click → Format Data Point** and set an Explosion distance (e.g., 10 pt).
  4. Optionally change that slice’s colour or apply a pattern to make it stand out further.

4.4 Adding Trendlines, Error Bars and Data Markers

  • Trendline: right‑click a series → Add Trendline**. Choose type, display equation and R² if required for analysis.
  • Error Bars: right‑click a series → Add Error Bars**. Select Fixed value, Percentage, or Custom range to show measurement uncertainty.
  • Data Markers (line/scatter charts): Format Data Series ► Marker Options**. Choose shape (circle, square, diamond), size and colour to highlight individual points.

4.5 Print‑Friendly and Colour‑Blind Checks

  1. Switch to Print Preview and view the chart in greyscale – patterns should remain distinct.
  2. Use a colour‑blind simulator (or the built‑in “Colour‑Blind” view in some spreadsheet programs) to confirm that no two adjacent series rely on indistinguishable colours.
  3. Keep font size ≥ 10 pt for readability when printed on A4.


5. Exporting and Embedding Charts

  1. Copy as Picture:

    • Select the chart, then choose Copy ► Copy as Picture….
    • In the dialog, select Picture and Screen (or Printer for higher resolution).
    • Paste into Word, PowerPoint or a PDF document.

  2. Export as Image File:

    • Right‑click the chart → Save as Picture….
    • Choose PNG (recommended for lossless quality) or JPEG (smaller file size).
    • Specify a resolution (e.g., 300 dpi for printed reports).

  3. Embedding in a Document:

    • In Word/PowerPoint use Insert ► Object ► From File and select the saved image.
    • Resize using the corner handles while holding Shift to maintain aspect ratio.
    • For live data updates, embed the chart as an Excel Object (Insert ► Object ► Create from File ► Link).


6. Practical Example – Enhancing a Column Chart (Colour‑Blind Friendly)

Data set: Quarterly sales (in £ 000) for 2024

  1. Create the chart – select A1:B5 (Quarter, Sales) → Insert ► Column chart.
  2. Apply a colour‑blind‑safe palette – Chart Design ► Change Colours ► “Blue‑Orange”.
  3. Highlight Q2:

    • Click the Q2 column, open Format Data Point ► Fill ► Pattern fill.
    • Choose “Diagonal cross‑hatch”, foreground colour #D55E00 (orange), background #FFFFFF.

  4. Add a secondary axis for profit % (data in column C):

    • Chart Design ► Select Data ► Add series → range C2:C5.
    • Right‑click the new series → Format Data Series ► Plot Series on Secondary Axis.
    • Set secondary axis Minimum = 0, Maximum = 30, Major unit = 5.

  5. Insert a trendline for sales – right‑click the sales series ► Add Trendline ► Linear ► check “Display Equation on chart”.
  6. Label the chart:

    • Chart Title: “Quarterly Sales & Profit 2024”.
    • Axis titles: “Sales (£ 000)” (primary), “Profit (%)” (secondary).
    • Data Labels: Inside End for sales, show value; for profit series, Outside End, show percentage.

  7. Check print‑friendliness – preview in greyscale; Q2’s cross‑hatch remains visible.
  8. Export – right‑click ► Save as Picture… → PNG, 300 dpi.


7. Checklist – Before Submitting Your Chart

  • Data range correctly selected (contiguous, non‑contiguous, or named).
  • Appropriate chart type chosen (including histogram, bubble, 100 % stacked where relevant).
  • All required data series plotted; secondary axis added if units differ.
  • Axis titles, chart title, legend and data labels are present and use correct units.
  • Axis scaling, tick‑marks and gridlines set for easy reading.
  • Colour scheme is consistent, colour‑blind safe, and matches any provided template.
  • Fill patterns used where colour alone may be ambiguous (especially for B&W printing).
  • Key slice/series highlighted (exploded pie slice, patterned bar, distinct marker, etc.).
  • Trendlines, error bars or data markers added if the task requires analysis.
  • Chart fits neatly on the page – no overlapping text, sufficient white space, legible font size (≥ 10 pt).
  • Print‑friendly test completed (greyscale view, colour‑blind check).
  • Chart exported or embedded in the required document format (PNG, JPEG, or linked Excel object).


Suggested illustration: “Before” (default colours, no patterns) vs. “After” (colour‑blind palette, patterned Q2 bar, exploded pie slice, trendline) – demonstrates the visual impact of the enhancements.