reSolve: Algorithmic thinking – Data visualisation
This unit teaches students to use modern tools and methods to describe and find relationships in large, authentic, real-world datasets, including the World Bank Open Data for global development. The unit shows how computer-based information visualisation and data analysis can help us to find and to better understand complex relationships in our world. Activities follow a 'journey of discovery' that interprets raw data by applying different visualisation methods.
Additional details |
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Year level(s) | Year 9, Year 10 |
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Audience | Teacher |
Purpose | Teaching resource |
Format | Downloadable resources |
Teaching strategies and pedagogical approaches | Mathematics investigation |
Keywords | data representation, algorthmic thinking |
Curriculum alignment |
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Curriculum connections | Technologies, Numeracy, STEM/STEAM |
Strand and focus | Statistics, Build understanding, Apply understanding |
Topics | Data representation and interpretation |
AC: Mathematics content descriptions |
ACMSP249
Construct and interpret box plots and use them to compare data sets
ACMSP251
Use scatter plots to investigate and comment on relationships between two numerical variables
ACMSP252
Investigate and describe bivariate numerical data where the independent variable is time
ACMSP282
Construct back-to-back stem-and-leaf plots and histograms and describe data, using terms including ‘skewed’, ‘symmetric’ and ‘bi modal’
ACMSP283
Compare data displays using mean, median and range to describe and interpret numerical data sets in terms of location (centre) and spread
ACMSP228
Identify everyday questions and issues involving at least one numerical and at least one categorical variable, and collect data directly and from secondary sources
ACMSP251
Use scatter plots to investigate and comment on relationships between two numerical variables
ACMSP253
Evaluate statistical reports in the media and other places by linking claims to displays, statistics and representative data
ACMSP279
Use information technologies to investigate bivariate numerical data sets. Where appropriate use a straight line to describe the relationship allowing for variation
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National numeracy learning progression |
Interpreting and representing data
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IRD5
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Copyright details |
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Organisation | ReSolve: Maths by Inquiry |
Copyright | © Australian Government Department of Education, Skills and Employment 2021. Creative Commons BY-NC-SA 4.0. |
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