2. Line Graph
Line graphs are ideal for
showing trends and
patterns over time. They
are commonly used in
various fields such as
economics, science, and
finance to visualize
changes in data over
continuous time intervals.
3. Graphs are visual representations of data that are used to
communicate, analyse, and interpret information. They serve as
powerful tools for summarising datasets, identifying patterns and
trends, comparing different variables or groups, and making data-
driven decisions. By presenting data graphically, graphs help make
information more accessible, engaging, and actionable for both
experts and non-experts alike.
4. Side-by-side bar gRAPH
Side-by-side bar graphs
compare two or more
categories across
different groups or
conditions. They make it
easier to identify
patterns, differences, and
relationships between the
groups. 0
5
10
15
20
Fish Cats Dogs
5. stacked bar graph
Side-by-side bar graphs
compare two or more
categories across
different groups or
conditions. They make it
easier to identify
patterns, differences, and
relationships between the
groups. 0
10
20
30
40
50
Year 5 Year 6 Year 7 Year 8
6. Pie Chart
Pie charts are useful for
displaying the relative
proportions or
percentages of different
categories within a
dataset. They are
effective in showing the
composition of a whole.
7. Histogram
Histograms are best used
to visualise the frequency
distribution of continuous
data. They are
particularly useful for
identifying patterns and
distributions within
datasets.
8. Scatter Plot
Scatter plots are ideal for
visualising relationships
or correlations between
two variables. They are
commonly used to
identify patterns and
trends in data points.
9. Box Plot
Box plots are useful for
visually summarising the
distribution, spread, and
variability of a dataset.
They are effective in
identifying outliers and
comparing the distribution
of data across different
groups or categories