Airbnb Vienna

100%

✓ Published0🌍 Public

Last edited Jun 4, 2020

Created on Jun 4, 2020

This scatter plot shows the price distribution of Airbnb apartments across 23 numbered boroughs in Vienna, revealing price clusters and outliers per district. The visualization uses D3 v5 with SVG rendering, employing `d3.csv` to load the dataset and `scaleLinear` for both axes, with `axisBottom` and `axisLeft` for ticks. Circles are plotted with opacity 0.3 to show overlapping points, and axes include gridlines. Data originates from insideairbnb.com/vienna/.

AI-generated description

This scatter plot shows the prices for an Airbnb apartment in Vienna per borough. Source: http://insideairbnb.com/vienna/

MIT Licensed

Similar vizzes

Loading thumbnail…

Airbnb Vienna

This scatter plot visualizes Airbnb listing prices across Vienna’s 23 boroughs, with each circle representing one apartment’s price on the x-axis and its borough on the y-axis. Using D3 v5, the code loads data from a CSV file and applies `scaleLinear` for both axes, `axisLeft` and `axisBottom` for tick marks, and SVG circles for data points. The chart’s opacity and teal fill create a density effect, while gridlines and axis labels clarify the price distribution per district.

VValentineAuer

96% match

Loading thumbnail…

Scatter Plot for New York Airbnb

This scatter plot visualizes New York Airbnb listings, showing the average price for different room types across neighbourhood groups. Each circle represents a room type within a neighbourhood, with circle size encoding the average number of reviews. The visualization is built using the vega-lite-api and d3.csv for data loading, rendered via vega-lite and vega. The data comes from a hosted CSV file, and the chart uses config.js to customize axis labels and typography for improved readability.

XXinting Yao

75% match

Loading thumbnail…

Fork of ICE-6 (airbnb)

This interactive scatter plot displays Airbnb listings based on distance to the city center and metro distance, with point color encoding species (Adelie, Gentoo, or other). Built with D3 v5, it loads CSV data and maps values to an SVG canvas using `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` for axes. Each point uses `circle` elements with a fixed radius, while custom labels, tick styling, and explicit axis titles highlight the plot. The visualization emphasizes geographic proximity patterns against guest satisfaction metrics from the Airbnb dataset.

Pprathyusha-reddy-arch

73% match

Loading thumbnail…

AirBnb Data Visualized

This scatterplot displays the relationship between Airbnb listing prices and their reviews per month, with each circle representing a property. The visualization uses D3 v5 to load CSV data and render an SVG. It employs `scaleLinear` for both axes, `axisBottom` and `axisLeft` for tick marks, and appends circles with fixed radius to show the data points. The chart is titled "AirBnb Prices Vs Reviews Per month" and includes axis labels for clarity.

KKishore Thamilvanan

73% match

Loading thumbnail…

A Map for New York Airbnb

This map visualizes the distribution of Airbnb room types across New York City, with each circle representing a listing and color encoding room type. Hovering reveals the price via tooltip. Built with the vega-lite-api, it reads CSV data from a GitHub gist and renders an interactive scatterplot using latitude and longitude fields. The visualization uses vega-lite’s markCircle, d3.csv for data loading, and vega-tooltip for hover interactions, with a custom config to adjust axis and label styling.

XXinting Yao

69% match

Loading thumbnail…

Fork of Project Data Science

This visualization, built with D3.js and the Vega-Lite API, combines a scatter plot and a bar chart to explore Hanoi real estate data. The scatter plot displays price per square meter against distance to a hospital, with point size encoding the number of bedrooms. A brushing interval selector on the x-axis filters the bar chart, while clicking a bar highlights a specific house type in both panels. The bar chart shows the count of each property type, with colors representing the categorical house types. The data is loaded from a remote CSV file, and the visual styling, including axis colors and guide fonts, is defined in a separate configuration module.

SStíofán ♔ Ó Conchubhair

69% match

Loading thumbnail…

Air bnb

This visualization displays the top 10 most expensive Airbnb listings in New York City as a horizontal bar chart, using React to manage the component state and D3 v5 for scales, axes, and SVG rendering. The code loads CSV data via `d3.csv`, sorts by price, and slices the top 10 entries, then maps them to `scaleBand` and `scaleLinear` ranges. Bars are drawn as SVG `<rect>` elements with a red fill, while custom tick marks and labels are generated from the scales. The chart uses a light gray background and a simple title.

VVenkat-Dhulipalla

67% match

Loading thumbnail…

Project Data Science

This visualization combines a scatter plot and a bar chart to explore Hanoi real estate data. The scatter plot shows price per square meter against distance to hospital, with point size encoding number of bedrooms; the bar chart displays counts of house types. Users can brush an interval along the x-axis of the scatter plot to filter the bar chart, or click a histogram bar to select a house type, which highlights matching points. Built using D3.js v7 and the Vega-Lite API, it loads CSV data from a GitHub repository and renders interactive selections via `vl.selectInterval()` and `vl.selectPoint()`.

Kkhongtrunght

67% match