Design: Crazy
Vegetable ----------------------------------------------------
This data viz project presents the information about the Airbnb listings in 16 areas of Sydney in 2022. Three
types of charts - Pie Chart on a Map, Sankey Diagram, and Bubble Chart are combined to describe how geographical
locations, price per night, room types, rental terms, listing density and income of listings are intertwined and
influence each other. From these visualizations, potential Airbnb hosts may have more insight into developing a
listing in Sydney, and tenants may be able to make better travel and accommodation decisions.
Main Story
In the selected areas,
properties of the listings such as location, density, room type, price and rental term all influence with each
other. Among them, location has an obvious impact on price, listing density, rental term and average annual income
of the rooms. The rental term also influences the occupancy and average annual income significantly.
Target user
Pie Chart on a Map
Aspect
The chart illustrates the listing density and rental
length distribution in each area.
As the color distribution on the map shows, the inner Sydney and coastal areas have a higher listings density,
probably because these areas are more developed in terms of tourism and attract more tourists.
For the rental length, the percentage of long-term rental is greater than short-term rentals across overall and
specific areas. It can be seen that the proportion of long and short term rentals is closer in the more northern
areas. While in southern areas, the proportion of long-term rentals is greater.
Data Transformation
The total listing density and rental distribution
have been calculated to show the overall rental situation. Considering the size of the area varies from region
to
region, we divide the listing number by each area size to get the area listing density, which is used as a
comparison and shown in color in the map.
Data Type
Visual Encodings
Position & Size
The pie charts are shown in corresponding location by
clicking the map.
Scale
To show the listing density, color value has been
scaled ordinally.
Each area's rental length distribution has been scaled linearly and show in the pie chart.
Hue, Color and Value
The color value changes from light to dark is used to
show the listing density from low to high. Different colors are chosen to represent the rental length types in
pie
charts.
Bubble Chart
The bubble chart presents the occupancy, annual
income, and price/night of long-term, short-term, and overall rentals in 16 areas of Sydney.
Visual Encodings
Position, Size and Shape
x Axis (Quantitative): average nights booked per
listing in a year.
y Axis (Quantitative): average income per listing in a year.
z Axis (Quantitative): Circles with different radius indicate the average price per listing per night.
Circles (Nominal Data): Each bubble represent an area in Sydney; hover the bubble to see the detail.
Hue, Color and Value
Long-term, short-term, and overall data are
represented with yellow, blue and brown respectively in the bubble chart(Nominal Data).
Scale
Data Transformation
We quote the data we'd like to use from the original
InsideAirbnb Dataset(m,m1,x,x1,y,y1,p,p1). Then, calculate the data(m2,x2,y2,p2) through reasonable mathematical
formulas. Below is the data transformation process of calculating long-term listings' "Activity" data.
Why is the data of long-term
listings low?
Audiences may notice that the data of long-term
listings is much smaller than the overall data of all types of listings and data of short-term listings. There are
some possible reasons why this situation occurs: 1. The Airbnb calendar for a listing does not differentiate
between a booked night vs an unavailable night; therefore, these bookings have been counted as "unavailable"
(Airbnb, 2022).
2. People have much more interests in taking long-term rentals on other apartment booking platforms (e.g. Domain &
Realestate).
3. The host could privately rent out long-term listings without any records on Airbnb's dataset.
Sankey Diagram
Chart Type
Aspect
Two types of charts form this diagram: Proportional
area chart and sankey diagram. Proportional circle chart enables users to quickly see the nightly price value by
comparing the relative size of circles. Sankey diagram is chosen to present the data of room types and the number
of listings because it is good at depicting many-to-many mapping between different domains. The listing numbers
and room types are two nodes connected with links. In this digram, audiences can compare the price and see the
room type distribution in each area and thus make corresponding rental
decisions.
Visual Encodings
Position, Size and Shape
X Axis: 16 areas (nominal data)
y Axis: listing numbers (quantitative ratio)
Circles and rectangles with different sizes are used to indicate the price and listing number respectively.
Orientation
16 areas are arranged vertically according to the
number of listings from large to small. The curves with different widths between Total Listing and Room Type
indicates the proportion of each room type in a given area. Each price circle is arranged horizontally with its
area.
Hue, Color and Value
16 different areas in the sankey diagram is presented
as nominal data, so we applied Morandi Colors in different hues to indicate the category.