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Assessment Guide for AT3, Arguments, Evidence and Intuition. 36200 and 36201 Summer 2023
发布时间：2024-02-08
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Assessment Guide for AT3, Arguments, Evidence and Intuition. 36200 and 36201 Summer 2023
Assessment task 3: A Data Story.
· The written report is an individual assessment task, with two formative assessments (Checkpoints) in groups.
· This task addresses subject learning objectives 1, 2, 3, 4 and 5.
· Description of the task: This task requires you to analyse data to tell a story that is of personal or professional interest to you. You will apply to the dataset the statistical and communication skills developed in the class sessions and through Canvas activities. This will lead to a story about that data. The purpose of this activity is to give you experience in how to find data, how to analyse collected data and how to use the data to tell a story. You should draw conclusions based on analysis of your data.
· To complete the task you should also research and consider external/independent sources of information on the same theme as your data (e.g. news reports or journal articles). You should then compare and contrast your data, with the external/independent information. You will submit a written report which will be assessed along with an Excel file which has your original data, calculations and graphs.
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Date |
AT3 Activity |
Group/ individual |
Marks % of total mark in the subject |
|
9 Jan |
Tutors allocate teams, teams decide on a team name and work in breakout rooms to discuss the kinds of datasets they are interested in. Start looking for data sets. Continue this after class as an individual activity if you have not found a group data set. Teams have 4 to 6 members (tutors to decide). |
Group, in tutorial |
|
|
Before 16 Jan |
Find a dataset that you are interested in and which has plenty of columns, or could be added to by others in the team. Be prepared to share this with your team but also be prepared to compromise as the team may decide to use a different dataset. Suitable datasets have plenty of columns or can be added to easily.
|
Individual |
|
|
16 Jan |
In tutorials, decide which dataset you will use as a team. Requirements for the data: a. The data must have at least two quantitative variables (numbers that are counts or measurements, not rates, not percentages, not indices) Take care if your quantities are in millions or thousands. Consider changing e.g. 4.5 thousand to 4500. b. The data must have at least one qualitative variable (categorical data). Note that later each member of the team will report on their own analysis of additional or selected data, which may have been in the data set from the beginning, or you may add it. Good choices of datasets have plenty of columns or can be added to easily. c. The data must be displayed in one spreadsheet sheet with a minimum of 40 rows (we do not set a maximum number of rows but suggest you don’t go too far past 100 unless you need to for completeness). d. Your spreadsheet must have a Notes sheet where you state how the data was found and if you cleaned the data (e.g., deleted empty rows) or combined data from more than one source. List all sources on this Notes sheet. Include your team name on the notes page and the names of the students in the team. e. Make sure each team member has a copy of the spreadsheet. If your tutor has made available a space on Teams or Canvas, put a copy there. f. Put a hyperlink in the Spreadsheet on the notes page and also at the top of your first page of data, so the source can be easily found. |
Group |
|
|
23 Jan |
In tutorials, in teams, complete Checkpoint 1 making summaries and graphs together for the first three columns of your team’s dataset. The analysis will include tasks like finding a five number summary, finding summary statistics, making specified graphs. You will also need to describe the significance of the findings and what you can conclude about the data as a result of the analysis. All students must have a copy of the spreadsheet for further work, but only one will be marked by the tutor for Checkpoint 1 and all team members will receive the same mark. Let your tutor know who will be submitting the spreadsheet for the team. This is to be uploaded to Canvas and also emailed to your tutor by the end of the tutorial hour. The version that is submitted for marking must have the appropriate formulas in it for checking. If charts are made, check that when you click on the chart, the data used to make it is highlighted. (In other words, the graphs are not copied images). |
Group |
10% |
|
Before 30 Jan |
Your tutor will give feedback about Checkpoint 1 via Teams and/or Canvas, and let you know whether you have a suitable dataset. Make improvements as required. After Checkpoint 1, each team member will choose other variables in the data set of your team, or add other variables from other sources, and these will be your individual variables to work with for Checkpoint 2 Progress Report, and the written report, along with the original variables used in Checkpoint 1. Each team member needs to choose or find one more quantitative variable and choose or find or create one more qualitative variable. These variables must be related to the topic. Individually you will complete an initial analysis of these variables, as specified by the Powerpoint Slides that make up the Checkpoint 2, Progress Report. Start preparing for Checkpoint 2, Progress Report. Each student prepares a Powerpoint presentation using the sample slides. The first few slides can be shared in the team as they will be an introduction to the topic. They only need to be presented once. Decide who in the team will do this. All students must upload their personal set of slides via Canvas, in the Assignments section. “AT3: Checkpoint 2 – Progress Report”. |
Group and individual |
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|
30 Jan |
In Tutorials and also in the Workshop hour, Checkpoint 2 Progress Reports are presented by students to others in their tutorial group. Each student provides feedback to other presenters. The tutor will collect the feedback using MS Forms or similar software and email it to each student. |
Group and individual |
10% |
|
11 Feb |
Final written report and Excel file due. Submit on Canvas. Each student submits an Excel file that has the group data and their own individual data columns.
|
Individual |
25% |
Written report structure
Length: Suggested length is about 1000 words for students in 36200 and about 1300 words for students in 36201. This is not a word limit - it is a suggested length. Longer reports that do not ramble but are well structured and succinct are acceptable. Writing that has repetition, and long unclear sentences will not be rewarded. Make sure you use the correct structure for the current semester. The task is expected to take you about 5 hours to complete if aiming at a Pass standard.
Please use these headings for your report. We encourage you to write in the first person.
Title: An appropriate title that sells your pitch for the data. A good title summarises the data story. Good practice is to have a working title and then change it later if necessary.
Introduction
What is the significance of the data story? Do not assume the reader knows anything about your topic. The intended audience is the general public. What question(s) are you trying to address? (Note that “data” is a plural noun but in everyday use it is often regarded as a singular noun.)
Describe the data source
What is the source of the original data? What did you do to clean it? Did you add additional rows/columns or select rows/columns from a larger set? In your Excel document all variables should be summarised and calculations/formulas apparent. For a higher mark see the marking rubric.
Summarise the data to discover trends
Put tables that include the five number summary and summary statistics for the variables that you added to the dataset. Comment on what they tell you about the data when considered along with charts showing distributions of quantitative variables. Make appropriate graphs and comment on any trends.
Compare sets within the data to discover relationships between variables
Use the categorical data to group the data into subsets, that you then compare graphically for selected
quantitative variables with side-by-side box plots and/or other appropriate graphs. Comment on what that tells you. If appropriate, make scatter plots and calculate correlation coefficients. Refer to the marking rubric for guidance. Note that the charts mentioned in the marking rubric are the ones in your Word document. Refer to the marking rubric to see what is expected for each mark.
Compare any significant observations to articles written about the same topic.
Remember to cite and reference any sources. These may be news reports or professional journal articles, government reports etc.
Reflections on the feedback you received from Checkpoint 2 (Progress Report), and on the Group Work
Explain how you responded to suggestions made in the feedback you received about your Progress Report. Also reflect on the Group Work – what worked well, what did not? What did you learn about working in groups? What did you do to overcome any difficulties?
Comment on the limitations of your data story.
What is missing? What could you do to improve the datastory? Do you have enough data to be confident of any conclusions?
Conclusion A short conclusion brings everything together.
References: These are listed in APA Style and in alphabetical order by author, on a separate page of your Word document. See Canvas pages and the UTS Library website for guidance.
Finding data
To find datasets on ANY topic, search on “Topic.xls” or “Topic.csv” or “Topic.dat”
The Australian Bureau of Statistics has data sets on a wide range of topics. https://www.abs.gov.au/
The CIA Factbook has data on many aspects of different countries. https://www.cia.gov/
For example, by choosing a few clicks, you can get this page on population which has a button to download the data as a .csv file.
https://www.cia.gov/the-world-factbook/field/population/country-comparison
The Visual Capitalist site has many data visualisations, and most of them have links to the original data. Please be aware that you must make your own graphs from data. https://www.visualcapitalist.com/
For data on indigenous perspectives, look at the Australian Human Rights Commission and the ABS.
https://humanrights.gov.au/our-work/education/face-facts-aboriginal-and-torres-strait-islander-peoples
To find data sets on Australian Agriculture, look at https://www.agriculture.gov.au/abares
For example, you can find data quickly on different years at https://www.agriculture.gov.au/abares/research-topics/agricultural-outlook/data
State governments in Australia (as well as the federal government), often have easily searchable websites for data, e.g. https://data.sa.gov.au/ https://data.gov.au/data/ https://data.nsw.gov.au/
Data Commons aggregates data from a wide range of sources into a unified database to make it more accessible and useful. Explore by graph then download the data and make your own graphs. https://datacommons.org/
Australian Institute of Health and Welfare: https://www.aihw.gov.au/
Data World https://data.world/ is a huge resource. You can get a quick overview of data.world with this video: https://youtu.be/kdPkWDqks3g
Our World in Data https://ourworldindata.org/
New Zealand health etc
https://www.stats.govt.nz/large-datasets/csv-files-for-download/
Health in Australia https://data.gov.au/data/dataset?res_format=XLS
Inside Air BnB http://insideairbnb.com/sydney
Gapminder – many data sets by countries of the world on various metrics https://www.gapminder.org/data/
Google Data Commons https://www.datacommons.org/about
University of California, Irvine. Center for Machine Learning and Intelligent Systems. This is repository of datasets
https://archive.ics.uci.edu/ml/index.php
This UCI Machine Learning needs two more steps as shown in this Youtube video. The data will be downloaded in the .data format and then we have to save it as .csv file to extract data into the excel. https://www.youtube.com/watch?v=jrHo05j0Ikk&ab_channel=DataTrained
Marking rubric for Checkpoint 1:
Task 1. Name the source of the dataset and provide a link so that your tutor can check the source. (2 points). Name and describe the two quantitative variables and the one qualitative variable that you are going to use for this task. Include any units used if appropriate. (3 points). Describe any data cleaning or selection from a larger set of data if appropriate, and why you chose this dataset. (1 point).
Task 2. For the first quantitative variable complete a five number summary (Maximum, Upper Quartile, Median, Lower Quartile, Minimum). Also specify the range and the interquartile range, the mean, mode or modal class, and standard deviation. (10 points).
Task 3. For the same quantitative variable, make an appropriate chart or graph to show the distribution of the values/scores. This might be a histogram, or a column chart, or a line graph or a timeline as appropriate. (3 points). Include a title that clearly describes the chart. (1 point).
Task 4. Using the results of Tasks 2 and 3, write at least two sentences to describe the distribution of the data/scores in that variable. (2 points for the sentences, 2 more points for the clarity of the description.)
Task 5. Make a pie chart OR a divided bar chart using the qualitative variable in the dataset. (3 points). Include a title that clearly describes the chart. (1 point). Comment on what this tells us about the data. (2 points.)
TOTAL is 30 points which contributes up to 10% of your final mark in this subject.
Marking rubric for the Checkpoint 2 Progress Reports:
This is marked by your peers and moderated by your tutor. Your tutor may also deduct marks if you do not provide feedback to at least six of your peers and/or you go over time. (5 minutes). It is 10% of your total mark in this subject.
o 9 or 10 marks for an excellent presentation, an engaging introduction to an interesting data story
o 7 or 8 marks for a very good presentation, clear and easy to follow
o 5 or 6 marks for a good presentation, maybe with some gaps or parts that were difficult to follow
o 4, 3, 2, or 1 for an inadequate, underprepared presentation
o 0 if no presentation is made
