QBUS5010 Assignment 1 – Exemplars
Statement of Problem
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The Magicbricks website only contains the services they provide , the detailed houses available and the news. This report is aiming at providing necessary information that can be easily accessed by the targeted audience which is the potential investors in various field, with the data acquired from Magicbricks. Information will be programmed in a more well-designed way such as visualization graph and statistical tables, so that audience is able to extract useful and clear information out of the visualized data in an easiest way and hence make the better investment decision.
[FROM SUBMISSION 2]
Australia’s high obesity rates might be directly related to unhealthy eating habits. Data from the Australian Bureau of Statistics (ABS) 2020–21 National Health Survey shows that, for Australians aged 18 years and over, about 90% didn’t consume the recommended number of serves of vegetables, over 50% didn’t consume the recommended number of serves of fruit, and about 6.4% consumed sugar-sweetened drinks daily (ABS, 2022). Food provides energy, nutrients, and other components that, if consumed in insufficient or excess amounts, can lead to poor health. However, due to the lack of records and feedback from data visualization, some people are simply not aware that their eating habits are unhealthy.
Therefore, having a dashboard that helps users record their intake of key nutrients throughout the day and monitor changes in weight and other health data would help users manage their health more effectively and reduce obesity rates in Australia. It has been noticed that many apps for weight management already exist. Most of them have the function of food calorie checking and weight recording, and some of them also provide the service of diet planning, such as MyFitnessPal. However, these apps only consider the calories of food, but not the nutritional elements of food when making diet plans for users. Moreover, the diet plans made by these apps are rather rigid and do not update the ideal recipe for the next meal in real-time according to the food that the user has consumed that day. So, I designed a dashboard to solve these problems.
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Figures 1 and 2 show screenshots of the summary statistics and data tables on the IUCN Red List website. These focus on the total number of species assessed and the number of species categorised as threatened each year and are presented within a large volume of text. Although Figure 1 clearly shows historical trends, there is no option to interact with the data to identify individual yearly values. This figure also lacks a key message and is overly cluttered; it is unnecessary for the y-axis interval to be every 10,000; the gridlines visually compete with the data lines, and the reader is forced to link the data lines and the legend to understand the graph (which goes against the Gestalt principle of proximity) (Knaflic, 2015).
Moreover, the IUCN Red List aims to “increase the number of species assessed to at least 160,000” (IUCN, 2022a). However, this information is not visually available but could be effectively presented as a future target with the data presented in Figures 1 and 2. Figure 2 shows a further breakdown of this information by year and major organism group. Presentation as a table makes it very difficult to identify trends and distinguish significant differences between groups and years.
The IUCN Red List fails to effectively present their work, potentially leading to the misinterpretation of their efforts to increase the number of species assessed through poor data visualisation, a lack of
clear messaging and no option to interact with (and further understand) the data. This may also result in failure to identify the most urgent areas for future research and could waste time and resources and reduce motivation to assess species. This issue could be reduced through a dashboard connected to the Red List website that aids with monitoring, communication and decision making.
Objectives of the dashboard
[FROM SUBMISSION 1]
For the potential property investors, their knowledge needed before the investing might be the following: which certain city has the highest rent as per unit size of the house? What is the most correlated feature of a house that affect the rent price so that they know what type of houses to invest in. For furnishing company and furniture wholesalers, the critical problems that required to be addressed could be: Which city that has more unfurnished houses so that they can enter to take the market share?
[FROM SUBMISSION 2]
The objective of the dashboard is to become personal online weight management and nutrition expert for users. By visualizing data on daily food intake and changes in health indicators such as weight, the dashboard provides users with a visual understanding of their
diet as well as health and plans recipes based on the nutrient content of foods. What’s more, this dashboard can also update the ideal recipe for the next meal based on the food the user
has already eaten. The significance of this function is that people often realize they are eating unhealthy only after they have ordered or finished their meal, but it is already too late to realize the mistake. For example, when you go to a restaurant and take pictures to record your diet after the food is served, you realize that the meal is not nutritionally balanced, but at that point, it is impossible to reorder. This dashboard can plan the next meal for the user in advance so that they don’t make mistakes when preparing or ordering food.
[FROM SUBMISSION 3]
The main objectives of this dashboard are to significantly improve and expand the data visualisation available on the Red List website by:
● Providing a dashboard that presents the IUCN’s data relating to the following data sets:
○ The total number of species assessed over time.
○ The number of species assessed as threatened over
○ The number of different species per organism group
(vertebrates, invertebrates, plants and fungi) assessed
over time.
○ The proportion of each organism group assessed as
threatened over time.
○ The IUCN’s goal of assessing 160,000 species and
sub-organism group goals.
● Making the above data sets more accessible to users to
further promote the goals of the IUCN’s Red List and encourage users to continue with their efforts to assess species.
● Allowing users to interact with the data and further understand the numbers of species assessed and proportions of species assessed as threatened (if users want). This may help identify organism groups needing more assessment time and resources.
● Save time – rather than having to read through a large volume of text (as the IUCN Red List website is currently set out), users will be able to understand the key messages within the dashboard.
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Identification and description of audience
[FROM SUBMISSION 1]
As the leading agency company developed in India, the data they provide can be considered representative to some extents. Therefore investors in various field can utilize the this data to seek
potential investment opportunity. For example, the data contains the furnishing status indicating that the house is fully furnished, semi-furnished or not furnished. Before the exploratory data
analysis, by common sense, furnishing status could be one of the factors that affect the rent of the house, landlords could choose to provide better furnishing status to achieve a higher gain. The furnishing company or furniture wholesaler can make use of this data to look for the property owner who wants to furnish the house for renting for a higher price.
In addition, property investor who wants to invest in the properties in India can also be the targeted audience of this project. According to The Economics Time, the rentals in the major cities has gone
up 10% to 20% in 2022.(The Economics Time, 2022), regarding this trend, this growth in the house
renting market in India can be attractive to those properties investors who are interested in making rental incomes, by looking at some of the critical indicators that were concluded from the data, they
can have the pre-understanding of how the property renting market performs in the different cities in India. In addition, all graph will be updated on a regular basis so that users can track the
information constantly.
[FROM SUBMISSION 2]
The target audiences of this dashboard are Australians between the ages of 15-50 who need weight loss and diet control. This segment is generally proficient in using mobile apps and is receptive to new things, so we expect the dashboard to catch on among them. During the initial setup, users need to manually enter their height and weight, as well as their target weight. Then, Dashboard will call up relative data to calculate the ideal nutritional intake for users. Before each meal, users can simply take a picture of the food and our dashboard can use AI technology to identify the type and grams of the food. Users can also manually input the type of food and the approximate intake for a more accurate record of the diet. In addition, users also need to manually enter their daily weight. After obtaining the personal data from users, the dashboard will visualize the weight change and nutritional intake to help users better manage their weight. Through the dashboard, users can know how many nutrients and calories they have consumed in each meal and how many more they can consume that day, they can also prepare meals based on the dashboard’s recommended recipes. This will prevent users from eating an unbalanced diet or eating too much.
[FROM SUBMISSION 3]
The data on the IUCN Red List website is available to a variety of different users. However, for this dashboard, the target audience is the Red List research partners, such as the Species Survival Commission, Bird Life International, Nature Serve and the Zoological Society of London (IUCN, 2022b). These organisations help the IUCN research and assess species for inclusion on the Red List and it is essential for them to have access to the numbers of species assessed, both as a whole and for each sub-group, in a concise and easily accessible manner. This would enable monitoring of species assessments and enable planning for resource allocation to organism groups that may lag in terms of numbers assessed. Table 1 identifies the audience’s key characteristics and the implications for this dashboard.
[TABLE 1 REPLICATED IN LIST FORMAT AND TRUNCATED]
Table 1. Audience characteristics and the implications for this dashboard. Framework based on XXXX (20XX)
○ Scientific researchers make decisions relating to the
species (within specific organism groups) to study and, therefore, allocate their time and resources. This requires knowledge of the number of species studied (per organism group) so [cont.]
○ Therefore the dashboard must be structured so that it is easy and accessible for the researchers to identify the total species studied over time and at the present date, as well as the number of species studied per sub-group. The ultimate aim is to conserve species biodiversity; therefore, [cont.]
● Workflow
○ This information is likely to be used regularly (but not
daily). This research is part of the regular work of research partners; therefore, users will have plenty of time to examine the figures. It is anticipated that this dashboard will be used on a computer (not a mobile device).
○ Therefore it is crucial for the dashboard to be updated regularly. Although the researchers have time to examine the figures, the data needs to be accessible and easily deciphered. The dashboard should be configured for a standard computer screen.
● Data comfort and skills
○ The intended audience (researchers) is expected to
[Table 1 cont.]
be proficient in using and analysing data
Description of necessary data/data source
[FROM SUBMISSION 1]
This dataset contains 4746 houses information available locating in 6 different cities in India, which are Kolkata, Mumbai, Bangalore, Delhi, Chennai and Hyderabad respectively, with 12 features of each house that can be manipulate with to generate useful information for the investors.
[FROM SUBMISSION 2]
The dashboard will use several different datasets. The first one is the food nutrient data provided by Food Standards Australia & New Zealand in 2021 which contains information on the nutrient content of the 5,740 foods. When the user takes a picture of the food, or manually enters the name of the food, the dashboard will look up the corresponding calorie and nutrient content of the food in this dataset. The second one is the data input by the user, such as daily diet and weight records, which are stored in a separate database. In addition, the dashboard will calculate the recommended number of calories and nutrients to consume, as well as the amount that can still be intake that day, based on the real-time data entered by the users.
[FROM SUBMISSION 4]
A car sales dataset with the brand, body type, fuel type, and color information will be needed. The primary data source is the insurance company because all brand-new cars need insurance before getting on the road, and also the data contains basic vehicle information. This insurance dataset used for a prototype design is acquired from Audi China R&D department (Beijing) which contains brands, body type, color, segmentation, model, fuel type, and the corresponding sales volume from 2017 to 2021. However, the final version
should connect to the database, thus the program can upgrade automatically.
An additional data source is from online platforms such as ‘Auto home’ or ‘Sina Auto’. A web crawler script is needed to fetch open-source data on large scale. Since most online platforms are using an anti-web crawler mechanism, some technical efforts are needed. For example, if Auto Home uploads some words in a picture format, the crawler program needs to include an extra OCR progress to cover all pictures into text. The ‘selenium’ plus ‘pytesseract’ package can solve this problem.
Besides sales volume, a competitor’s brand list is required to conduct a competitive study. Audi is a luxury brand and based on the market sales price, other brands whose prices fall into this range are considered a competitor. All sales prices can be acquired through online platforms.
Explanation of necessary affordances/features
[FROM SUBMISSION 5]
The dashboard will:
● track cost per wear
● track dates of each wear
● keep a record of clothing sizes
[FROM SUBMISSION 6]
The selection box at the top is free to choose the time period that the audience wants. In the world map in the middle, viewers can freely choose the country or region they want to see. Then in the bottom chart box, the trend of the data of the country or region selected by the audience during the time period will be displayed. The world map will have different shades of color, representing more or less production in a specific time period in that country or region. The blank space is used to write various notes or place links to explain concepts. For audiences who do not know much about the
relevant knowledge, they can use this section to answer their doubts.
[FROM SUBMISSION 2]
There is a search bar on the dashboard, which allows users to enter their personal data. The first feature in this dashboard is a trend plot of the user’s weight. This plot shows the change
in the user’s weight over time and directly reflects the effectiveness of weight management. The second feature is the calorie intake and consumption graph. This graph consists of the
recommended calorie consumption, the number of calories burned by exercise, and the number of calories that can still be consumed that day. From this graph, users can clearly
understand how many calories they have eaten at the moment, whether they can eat more on that day, and whether they need to exercise to burn the extra calories. The third feature is the
charts of the intake of 3 major nutrients. This chart contains the number of carbohydrates, proteins, and fats that the user has consumed and the recommended intake for the day. Based on these charts, users can plan their nutrient ratios for each meal to prevent under or over- consumption of certain nutrients. The fourth feature is the food recommendation table. The dashboard will find the most suitable food from the food nutrient dataset based on the number
of nutrients and total calories that the user still needs to consume and design the ideal recipe for the next meal. This recipe is updated in real-time based on the food the user has already
eaten that day.
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Draft design/layout (static wireframe mock-up, using a prototyping tool of your choice)
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[FROM SUBMISSION 2]
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