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
Select the required data range.
Go to Insert ► Chart (or Chart Wizard in older spreadsheet packages).
In the preview window choose the chart type that matches the data (see Section 1.3).
Click OK/Insert. The chart appears on the worksheet and is automatically selected.
1.3 Choosing the Right Chart Type
Data Situation
Recommended Chart
Key Reason
Comparison of discrete categories (e.g., sales by region)
Bar / Column chart
Shows individual values side‑by‑side.
Trend over time (e.g., monthly revenue)
Line or Area chart
Emphasises direction and rate of change.
Parts of a whole (e.g., market‑share percentages)
Pie chart or 100 % stacked column
Visually displays each part’s proportion.
Distribution of a single variable (e.g., test scores)
Histogram
Shows 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 axis
Allows 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 bar
Shows 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
Select the chart, then choose Chart Design ► Select Data (or “Edit Data”).
Click Add and specify the range for the new series (e.g., D2:D7).
To plot the new series on a secondary axis:
Right‑click the series → Format Data Series.
In the pane, choose Series Options ► Plot Series on Secondary Axis.
Adjust the secondary axis scale if required (right‑click the axis ► Format Axis → set Minimum, Maximum, Major unit).
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 Title – Chart Elements ► Chart Title. Keep it concise (e.g., “Quarterly Sales 2024”).
Axis Titles – Chart 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).
Gridlines – Chart Elements ► Gridlines. Show major gridlines for readability; hide minor gridlines unless needed for precision.
Legend – Chart Elements ► Legend. Position where it does not obscure data (top‑right, bottom‑center, etc.).
Data Labels – Chart 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
Select the chart.
Open Chart Design ► Change Colours and pick a built‑in theme or choose Customize Colours** to define your own palette.
For examinations, colour‑blind‑safe palettes are recommended (see Table 2).
If a single series needs a different colour, click that series → Format Data Series ► Fill ► Solid colour**.
Palette (Colour‑Blind Safe)
Colour 1
Colour 2
Colour 3
Colour 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.
Select the data series (or a single data point).
Open Format Data Series ► Fill & Line ► Fill ► Pattern fill.
Choose a pattern (horizontal stripes, vertical stripes, diagonal cross‑hatch, dots, etc.) and set foreground/background colours.
Pattern
Description
Best Use
Solid
Uniform colour
Standard colour‑based charts.
Horizontal Stripes
Evenly spaced horizontal lines
Print‑friendly differentiation.
Vertical Stripes
Evenly spaced vertical lines
Side‑by‑side series comparison.
Diagonal Cross‑hatch
Intersecting diagonal lines
Highlight a specific series.
Dots
Regularly spaced dots
Subtle visual cue.
4.3 Exploding (Extracting) a Pie‑Chart Sector
Click the pie chart to select the whole chart.
Click a second time on the slice you wish to emphasise.
Drag the slice outward, or right‑click → Format Data Point** and set an Explosion distance (e.g., 10 pt).
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
Switch to Print Preview and view the chart in greyscale – patterns should remain distinct.
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.
Keep font size ≥ 10 pt for readability when printed on A4.
5. Exporting and Embedding Charts
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.
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).
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 Labels: Inside End for sales, show value; for profit series, Outside End, show percentage.
Check print‑friendliness – preview in greyscale; Q2’s cross‑hatch remains visible.
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.
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