In this assignment, you are required to use both the conceptual and technical knowledge from the course to design a set of informed visualizations. Informed means, you are no longer a layperson in this area! In addition, you must explicitly discuss the quality of each visualization and your choice and use of pre-attentive attributes; this in addition to very briefly describing what the visual depicts ( a good visualization speaks for itself)
Explicitly here meanis you must explain and present the rationale for your design, a rationale that demonstrates underlying concepts from visual design, communication, and story-telling imperatives).
This means this assignment isn’t only about producing charts, it is also about reflecting on why they are effective or insightful relative to other or competing choices you could have made or other have made from the same dataset.
These instructions lay out minimum and guiding requirements, you have some flexibility in how you go about completing the overall task, e.g. you could add an additional filter(s)/legends etc. even where it isn’t explicitly specified in these instructions. However, you will do so provided your filter/legend etc. adds to insight, chart effectiveness, beauty, truthfulness.
Similarly, these instructions give no explicit prescriptions regarding the use of pre-attentive attributes, you are required to demonstrate your understanding of their effective use by making the right choices and discussing those choices.
† Covid-19 dataset from The New York Times (link)
You must download the entire data set, and read the readme (available on the website as well as download). There are three data files categorizing daily confirmed new cases and deaths for the US (national), and by state and counties. All data files contain a FIPS attribute code, with some geographic exceptions described in the readme file. FIPS codes are a standard geographic identifier like any ANSI standard.
This dataset has population size (actuals from 2010 census and estimates for future years). The data source is here (bottom of the webpage):
And for simplicity, I have uploaded the dataset to Blackboard to the same folder as these assignment instructions.
Confirmed Cases and Deaths (New, Total, Total cases per 100 000)
The Covid-19 data records new confirmed cases and deaths each day (from Jan 21, 2020). From that, one can infer or compute total number of cases (to date or any date for that matter) as well as total cases per 100 000.
† To complete some of the tasks, you will need to wrangle (clean or modify) your dataset by adding or computing calculated fields. For example, you will be required to compute a moving average, and cases per 100 000 of the population, etc. Depending on your proficiency, it may be easier to modify the Covid-19 datasets in Excel and calculate the derived attributes in Excel the file rather than Tableau. You can also use Tableau of course.
† You must use design concepts learned during the duration of the course (from Knaflic and Cairo) including what constitutes a quality design and the use of pre-attentive attributes in designing visualizations; how we read information on a page, etc. This means, you cannot simply leave chart design to system defaults (i.e. the machine. This requirement obviously imbues you with some flexibility, use it appropriately.
† For each chart you design, you must appropriately and explicitly), discuss the design choices you made and why. You must do so in a MS Word/PPT document, by copying each visualization (including the Dashboard), label the figure and discuss it immediately below.
Instructions to Tasks:
In general, your visualizations will be analyzing two key attributes: cases and deaths, separately as well as simultaneously.
You must create dual axis* charts (bar and circle shapes) that show information both by state and by county. Your visualizations must appropriately display rankings by state; by counties on the metrics: new cases, total cases, and total cases per 100 000 for both confirmed cases and death cases.
† Rankings of cases by state; county …
† Rankings of deaths by state; county …
*As shown in class exercise
The data set is from the United States only. Design maps for the data set variously on the key attributes: confirmed cases and deaths. Your maps must appropriately depict data by state; data by counties for the metrics: number of new cases, total cases, and total cases per 100 000 for both confirmed cases and deaths
Notice: you have not been given an explicitly instruction as to how many maps to design. You have to make a rational decision that allows you to create the required analysis
Create timelines or timeseries. For timelines use both bar charts and line charts You may create multiple exploratory timelines. However, you must show new cases (confirmed cases and deaths) and their 7-day moving averages. (The smoothing chart should be a line, and the actuals a bar chart). You must do the following:
† Compare the United States overall, with New York State, showing new cases/7-day moving average in both cases (over the time period of the entire dataset).
- Daily new (cases) vs. 7-day Moving Average in the United States (national)
- Daily new (deaths) vs. 7-day Moving Average in the United States (national)
- Daily new (cases) vs. 7-day Moving Average in the New York City (or state)
- Daily new (deaths) vs. 7-day Moving Average in the New York City (or state)
† Use Tableau to forecast and visualize new cases and new deaths for New York City, or other hotspot (New Jersey, Detroit, Chicago, etc. You can use county-level data here, and consult additional news sources to identify cities or states/counties variously flagged as hotspots). Examine the default model, briefly discuss including, for the city/county you are forecasting identify the forecasted number of new cases and new deaths.
4. At your discretion, design another insightful visualization from the data
Based on your understanding of the data, create an effective and insightful chart that is not specified in these instructions. Make it as beautiful as effectiveness and truthfulness allow.
Design an exploratory dashboard around the Covid-19 analysis you have just completed. Your dashboard must have a title, descriptive text, appropriate annotations, filters and dynamic sheets. When using the dashboard, the user must be able to display (filter) data by state and region. One should be able to filter between new cases, total cases, and cases/per 100 000; and be able to filter by state, and county.
† Bar graph of new, total confirmed cases; cases per 100 000. (Hint: create a parameter for capacity to display both)
† Bar graph of new, total deaths; cases per 100 000 (apply created parameter)
† Map of new, confirmed cases; cases per 100 000. (use created parameter)
† Map of new confirmed deaths; cases per 100 000
† Ranking of new, confirmed cases; cases per 100 000
† Ranking of new confirmed death; cases per 100 000
You are not restricted to only the above items, there are merely a guide to your dashboard. You must show and configure the necessary (dynamic) filters and legends
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