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Different Types of Graphs
MATHEMATICS PRESENTATION
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.
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.
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
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
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.
Histogram
Histograms are best used
to visualise the frequency
distribution of continuous
data. They are
particularly useful for
identifying patterns and
distributions within
datasets.
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.
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
Monday
Tuesday
Wednesday
Thursday
Friday
Pictograph
Pictographs are useful for
presenting data in a
visually appealing and
easily understandable
way, especially for
younger audiences or
when dealing with simple
data sets.

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Different Types of Graphs Mathematics Presentation.pdf

  • 1. Different Types of Graphs MATHEMATICS PRESENTATION
  • 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
  • 10. Monday Tuesday Wednesday Thursday Friday Pictograph Pictographs are useful for presenting data in a visually appealing and easily understandable way, especially for younger audiences or when dealing with simple data sets.