Skip to main content
SimilarExport ZIP
100%

Growth in Irish Whiskey Sales

✓ Published1🌍 Public
OOday4
Last edited Oct 25, 2019
Created on Oct 25, 2019

This visualization shows the growth of Irish whiskey sales across different countries over time, using a multi-line chart where each line represents a country and is color-coded via a categorical color scale. The y-axis displays cases, while the x-axis shows the year. Built with D3 v5, the chart uses `d3.line` with a basis curve to smooth the lines, `d3.scaleTime` and `d3.scaleLinear` for axes, and `d3.nest` to group data by country, with a custom color legend. The data is loaded as a CSV from a GitHub URL.

AI-generated description

<b>Group D Final Assignment</b>

Ana Chavarri Ceballos

Mabel Gómez Portocarrero

Juan David Botero

Jan Marek

Oday Almajed

David Facusse

Anup Satyal

MIT Licensed

Similar vizzes

Loading thumbnail…

Growth in Irish Whiskey Sales

Irish whiskey sales growth is visualized as a multi-series line chart, with each country’s annual case sales drawn as a colored, smoothed path. The chart uses D3 v5’s `scaleTime`, `scaleLinear`, `nest`, and `line` with `curveBasis` to aggregate and render the data, which is loaded from a CSV. A categorical color scale distinguishes countries, and a custom legend component displays the mapping. The visualization includes axis labels and grid lines, with the source data retrieved from a remote GitHub repository.

OOday4
97% match
Loading thumbnail…

Growth in Irish Whiskey Sales

The visualization shows the growth in Irish whiskey sales over time, with multiple lines representing different countries and a color legend identifying each series. It uses d3.csv to load data, and d3.scaleTime, d3.scaleLinear, and d3.scaleOrdinal with schemeCategory10 for scales, along with d3.line and curveBasis to render smooth paths. d3.nest groups data by country, and d3.axisBottom and d3.axisLeft add labeled axes. The SVG rendering includes a custom colorLegend component built with d3 selections.

Jjhcliu19
96% match
Loading thumbnail…

Irish Whiskey Slaes Per Country

This visualization displays Irish whiskey sales amounts per country using a bar chart, with each bar colored by country and sized proportionally to the sales figure. The chart is built with Vega-Lite API and D3.js, loading data from an external CSV via the `getData` function, and renders as an SVG fitted to the browser window. Tooltips show the exact sales amount for each bar, while custom configuration settings adjust font sizes and colors for readability, with a dark theme for labels and titles.

OOday4
84% match
Loading thumbnail…

The World Drinks Scotch Whisky

This bar chart visualizes the top 10 Scotch whisky importing countries for the first half of 2017, measured in 70-cl bottles, with France leading at 85.9 million bottles. The data comes from Whisky Tours. Built with D3 v5, it uses `scaleLinear` and `scaleBand` for positioning, and customizes `axisBottom` and `axisLeft` with tick formatting via the `format` function. The SVG rendering includes styled axes, labels, and a title, with data loaded from a CSV file using `csv()`.

Aagongwpi
67% match
Loading thumbnail…

line chart

This line chart displays alcohol sales over time, with years on the x-axis and total sales on the y-axis. The visualization uses D3 v5 APIs including `scaleTime` for the date-based x-axis, `scaleLinear` for the y-axis, `axisBottom` and `axisLeft` for the axes, and `line` for the path generator. The chart reads data from a CSV file hosted on GitHub, parses the year values, and renders the colored line path in SVG. Gray gridlines extend from the ticks, with axis labels and a cursive font for annotation.

Nnagarjuna1968
64% match
Loading thumbnail…

For the top growth countires, the curve flattening never stablized

This visualization tracks cumulative COVID-19 cases in the top ten affected countries from January to July 2020, using a multi-line chart with animated line drawing. The y-axis shows the number of cases on a linear scale, while the x-axis represents time, with each country assigned a distinct color from a categorical scale. The visualization uses D3 v5 with `d3.line`, `d3.curveBasis`, `d3.nest`, and `transition.attr` to animate the stroke-dashoffset, revealing each country’s growth trajectory. A color legend identifies each country, and the data comes from a CSV file with daily case counts.

Yyeezhu112
64% match
Loading thumbnail…

chocolate sales in india

This visualization shows chocolate sales in India over time, with a smoothed line and filled area chart tracking yearly sales figures. The x-axis displays the year, while the y-axis shows sales values with abbreviated tick labels. Built with D3 v5, the code uses `scaleTime`, `scaleLinear`, and `axisBottom`/`axisLeft` to map data, and `line`/`area` generators with `curveBasis` to create the smooth curve and shaded region. Data is loaded via `csv` from a GitHub gist, with the year parsed using `d3.timeParse` and rendered as SVG elements.

KKiran Jyothi Bodduluri-11604571
63% match
Loading thumbnail…

D3 Line Chart

This example visualizes cumulative sales across four fiscal quarters (Q1–Q4) using a line chart rendered with SVG. The code loads quarter-by-quarter sales data from a CSV file and plots the trend, with a steelblue line connecting points positioned along a band scale for quarters and a linear scale for sales values in millions. The chart includes labeled axes, axis ticks, and a title, and it relies on D3 v7’s `d3.line`, `scaleBand`, `scaleLinear`, and axis methods. The visualization effectively communicates a steady upward sales trajectory, as the line clearly rises from 14 million to 37 million across the quarters.

KKwasi Acquaye
63% match