Years 5–6 Data & Information

These are free worksheets for the Data and Information strand of the Victorian Curriculum Digital Technologies, Levels 5–6: how digital systems represent data, how to collect and organise it, how to analyse and chart it, and how to look after personal data.

The 46 modules are grouped by content description. Data, information and binary covers types of data and how text, images and numbers are stored as bits. Acquiring and manipulating data covers surveys, primary and secondary sources, and entering, sorting, filtering and cleaning data in a spreadsheet. Analysing and visualising data covers formulas, SUM, AVERAGE, MIN, MAX and COUNT, and choosing and labelling charts. Digital footprint and privacy covers personal data, active and passive footprints, privacy settings, consent and anonymising data. Each module includes real practice questions and a full answer key.

Teachers can assign the whole strand as one journey, or just the content description they're teaching — each section below can be added to a class on its own — with progress tracking, class sprints and badges.

Add this whole curriculum to your class, or just the modules your unit needs — Cloodit tracks who's stuck automatically.

Data, information and binary representation — VC2TDI6D01 (11 modules)

1
Data and information Raw facts and values, like names or scores. When data is organised so it has meaning, it becomes information, like a table showing each class's average score.
2
Types of data: numbers and text Numeric data is numbers you can calculate with, like 12 or 3.5. Text data is words and characters, like cat or a phone number, which you never add up or average.
3
Types of data: images, sound and video A named chunk of stored data. Pictures, sounds and videos are all data that a digital system saves as files, such as photo.jpg, song.mp3 or clip.mp4.
4
Same data, different representations A way of showing the same data, such as a table, list, picture, symbol or chart. You choose the one that best suits your purpose and your audience.
5
Digital systems store everything as numbers Computers store text, pictures and sound as numbers. Data is converted into number codes so a digital system can store it and work with it.
6
Bits and the binary digits 0 and 1 A bit is a single binary digit that is either 0 or 1, like a switch that is off (0) or on (1). A group of 8 bits is called a byte.
7
Binary place values Binary place values. Each position is worth double the one to its right, so reading from the right the values are 1, 2, 4, 8, 16. Decimal doubles into tens instead.
8
Writing small numbers in binary To write a number in binary, put a 1 under each place value you add and a 0 under the rest. Place values are 8, 4, 2, 1. So 5 is 4 + 1, which is 0101.
9
Reading binary numbers To read a binary number, add up the place values (1, 2, 4, 8...) that have a 1 under them and ignore the 0s. For example, 1011 is 8 + 2 + 1 = 11.
10
Representing text with number codes A number the computer uses to stand for one letter or symbol. It stores the number, then turns it back into the character on screen. In one A=1 code, A is 1 and B is 2.
11
Representing images with pixels A pixel is one tiny square in a grid that makes up a digital image. Each pixel is stored as a number, such as 0 for white or 1 for black.

Just this content description: the Data, information and binary representation journey · Add VC2TDI6D01 to a class →

Acquiring and manipulating data — VC2TDI6D02 (10 modules)

12
Primary and secondary data sources Primary data is data you collect yourself, like a survey. Secondary data was collected by someone else, like data from a website or database.
13
Collecting data with a survey A survey collects data by asking everyone the same clear questions, such as closed or open questions on an online form, so the answers can be counted and compared.
14
Spreadsheet rows, columns and cells A grid of columns (letters, running down) and rows (numbers, running across). A cell is where a column and row meet, like B3. Each worksheet holds one grid.
15
Cell references like A1 A cell reference. It names one spreadsheet cell by its column letter (B) then its row number (3). A range like A1:A5 names a group of cells.
16
Entering data into cells To store data, click a cell, type your value, then press Enter to save it. Tab saves it and moves right. Text lines up left and numbers line up right.
17
Organising data in a table with headings A grid that organises data. Each column has one heading, and each row holds one record, like one student or one pet. There are no blank rows.
18
Importing data from a CSV file A plain text file that stores table data with commas between the values. A spreadsheet can open it and show the data in rows and columns.
19
Sorting data Sorting puts the rows of a table in order using the values in one column, like A to Z or smallest to largest, and keeps each row together.
20
Filtering data A filter shows only the rows that match a value you choose and hides the other rows. The hidden rows are not deleted. Clear the filter to see them all again.
21
Cleaning data Finding and fixing mistakes in data, like typos, spelling variations, duplicate rows, missing values and impossible values, so the results are correct.

Just this content description: the Acquiring and manipulating data journey · Add VC2TDI6D02 to a class →

Analysing and visualising data — VC2TDI6D03 (15 modules)

22
Formulas start with = A spreadsheet formula starts with = and works out a result from cell values. This one adds A1 and B1, and the answer shows in the cell.
23
Arithmetic operators + - * / The symbols + - * / add, subtract, multiply and divide numbers in a formula. Use brackets ( ) to choose which part is worked out first, like =(A1+B1)*2.
24
The SUM function A formula that adds up all the numbers in a range of cells. The colon means 'from B2 to B10'. The AutoSum button can type it for you.
25
The AVERAGE function A spreadsheet function that adds up the numbers in cells B2 to B10 and divides by how many there are, to find the mean (the typical value). It is not the total.
26
The MIN and MAX functions MIN finds the smallest (lowest) value in a range of cells and MAX finds the largest (highest) value. For example, =MAX(B2:B10) shows the top score in cells B2 to B10.
27
The COUNT function A spreadsheet formula that counts how many cells in the range B2 to B10 contain numbers. It ignores cells with text or empty cells.
28
Copying a formula down a column The small square at a cell's corner. Drag it down to copy a formula to the cells below. The cell references change row by row, so B2 becomes B3.
29
Formatting numbers and cells Changing how a cell looks, such as currency, decimal places, bold or column width, without changing the value stored inside it. For example, 5 can show as $5.00.
30
Finding patterns, trends and outliers Look for patterns and trends in data, like highest, lowest, going up or down. An outlier is a value that stands out from the rest. Compare groups to see differences.
31
Choosing the right chart Pick the chart that matches your question: a bar chart to compare categories, a line chart for change over time, and a pie chart for parts of a whole.
32
Column and bar charts A chart that uses bars to compare amounts in different categories. Select the labels and values, then choose Insert chart. Column charts have upright bars; bar charts lie sideways.
33
Line charts A chart that joins points with a line to show how a value changes over time. Time goes along the bottom axis, so you can see if the trend goes up or down.
34
Pie charts A circle chart split into slices. Each slice shows how big one part is compared with the whole, often as a percentage. All the slices add up to 100%.
35
Chart titles, axis labels and legends The parts that help a viewer read a chart: the title says the topic, axis labels name the data and units, the legend explains colours.
36
Drawing conclusions from data A statement that answers a question using evidence from the data, such as numbers. It should only say what the data shows and stay within the data's limits.

Just this content description: the Analysing and visualising data journey · Add VC2TDI6D03 to a class →

Digital footprint and privacy — VC2TDI6D06 (10 modules)

46
Personal data Information that identifies you or can be linked to you, such as your name, birthday, address, photos or school. A favourite colour on its own is not personal data.
47
Personal data stored in online accounts A profile on a website or app that stores the personal data you give it, like your name and age. The company may share that data, so only give what is needed.
48
Digital footprint The trail of data you leave online from what you do and post, like posts, comments, searches and photos, including data other people share about you.
49
Active and passive digital footprints Active = data you choose to share, like posting a photo. Passive = data collected about you without you typing it, like cookies, location tracking or browsing history.
50
Permanence of digital footprints Anything you post online can be copied, saved or shared by others, so it may never fully disappear, even if you delete it. Think before you post.
51
Privacy settings A switch in an app or account that controls who can see your information, like making it private or friends only.
53
Consent when collecting personal data Asking permission before collecting someone's personal data and explaining how it will be used. The person can say no. For young people, a parent or guardian may also need to agree.
54
Collecting only the data you need Only collect the personal data you need for your purpose. Less data means less risk, so skip unneeded questions, store data safely and delete it when finished.
55
Anonymising data To remove or replace names and other identifying details in data, like using ID numbers, so people cannot be recognised.
56
Privacy check for a data project A review of a data project that asks if you have consent, only collect what you need, hide names, and store the data safely, before you share it.

Just this content description: the Digital footprint and privacy journey · Add VC2TDI6D06 to a class →

Printable Years 5–6 Data & Information Crosswords & Word Searches

Built from the key terms of each block of modules, every one with a full answer key. All free printables →

Journeys using these modules

5-6 Digital Technologies Vic Curric - Data, Information and Privacy, VCE Applied Computing - U1O1 - Data analysis, VCE Applied Computing - U1O1 - Data analysis, VCE Software Development - U3O2 - Analysis and Design, VCE Data Analytics - U3O1 - Data Analytics, VCE Data Analytics - U3O2 - Analysis and Design, VCE Data Analytics - U4O1 - Development and Evaluation, VCE Data Analytics - U4O2 - Cyber Security: Data Security, 7-8 Digital Technologies: Representing data with binary, 7-8 Digital Technologies: Acquiring, storing and validating data, 7-8 Digital Technologies: Analysing and visualising data, 7-8 Digital Technologies: Digital footprint and privacy, 9-10 Digital Technologies: Data compression, 9-10 Digital Technologies: Acquiring, storing and validating data, 9-10 Digital Technologies: Analysing and visualising data, 9-10 Digital Technologies: Data privacy and the Australian Privacy Principles, 9-10 Digital Technologies: Defining and decomposing problems, IGCSE Computer Science 0478 — 1.1 Number Systems, IGCSE Computer Science 0478 — 1.2 Text, Sound and Images, IGCSE Computer Science 0478 — 1.3 Data Storage and Compression, IGCSE Computer Science 0478 — 2.1 Data Transmission Types and Methods, IGCSE Computer Science 0478 — 5.3 Cyber Security, IGCSE Computer Science 0478 — 10 Boolean Logic, ACARA Digital Technologies Years 5–6 — Representing Data with Numbers, ACARA Digital Technologies Years 5–6 — Staying Safe Online, ACARA Digital Technologies Years 5–6 — Digital Footprints, ACARA Digital Technologies Years 7–8 — Representing Text, Images and Sound, ACARA Digital Technologies Years 7–8 — Binary Number Representation, ACARA Digital Technologies Years 7–8 — Acquiring and Storing Data, ACARA Digital Technologies Years 7–8 — Analysing and Visualising Data, ACARA Digital Technologies Years 7–8 — Networks and Cyber Threats, ACARA Digital Technologies Years 7–8 — Digital Footprints and Data Minimisation, ACARA Digital Technologies Years 9–10 — Data Compression, ACARA Digital Technologies Years 9–10 — Acquiring and Validating Data, ACARA Digital Technologies Years 9–10 — Analysing and Visualising Data, ACARA Digital Technologies Years 9–10 — Entities, Relationships and Queries, ACARA Digital Technologies Years 9–10 — Privacy Principles and Digital Footprints, QCE Digital Solutions Unit 2 — Data-Driven Problems and Solution Requirements, QCE Digital Solutions Unit 2 — Data and Programming Techniques, QCE Digital Solutions Unit 4 — Digital Methods for Exchanging Data, QCE Digital Solutions Unit 4 — Complex Digital Data Exchange Problems and Solution Requirements, WA Computer Science ATAR Year 11 — Data Management

Or build your own Journey from any of these modules →

Frequently Asked Questions

Are these worksheets free?

Yes — every worksheet and its answer key is free to view, download, and print, with no account required to access any individual module.

Do I need an account?

No account is needed to view or print a worksheet. A free teacher account adds extras like assigning modules to a class and tracking progress automatically — it takes under three minutes to set up and doesn't need a credit card.

What year level is this for?

Years 5 and 6 — the modules follow Victorian Curriculum Digital Technologies, Levels 5–6.

Can I print them?

Yes — every module has a one-click Print Worksheet button that generates a printable page with the practice questions and a full answer key.

Is this aligned to a curriculum?

Yes — the modules are grouped by the Levels 5–6 Data and Information content descriptions of the Victorian Curriculum Digital Technologies (VC2TDI6D01, D02, D03 and D06), and each section below can be added to a class on its own.

Can students use this without a teacher?

Yes — students can start any module and practice directly, no class or account required. Joining a teacher's class with a class code adds progress tracking, class badges, and live Sprints, but isn't needed to work through the worksheets or modules solo.

Do I need to know Years 5–6 Data & Information myself to teach this?

No — every module comes with a full worked answer key, and Cloodit tracks who's stuck automatically, so you don't need to solve each exercise yourself before assigning it or be able to debug a student's work line by line.

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