Temperature of San Francisco

100%

Temperature of San Francisco

✓ Published1🌍 Public

Last edited May 30, 2020

Created on May 30, 2020

This visualization presents the global population over time as a filled area chart, with a maroon region beneath a smooth curve. The data comes from a CSV file called `world-population-by-year-2015.csv`, loaded via `d3.csv`. The code uses D3 v5 functions such as `scaleTime`, `scaleLinear`, `area` with `curveBasis` for the curved path, and `axisBottom` and `axisLeft` for the axes, with gridlines and tick formatting. The y-axis labels abbreviate large numbers, converting billions from "G" to "B".

AI-generated description

This scatter plot shows data about cars, from UCI Machine Learning Repository: Auto MPG Data Set.

MIT Licensed

Similar vizzes

Loading thumbnail…

Temperature in San Francisco

This area chart shows world population by year, with a curved line filling the space beneath it to emphasize change over time. The visualization uses D3 v5's `area` generator with `curveBasis` for smoothing, and employs `scaleTime` and `scaleLinear` to map the data. Axes are rendered using `axisBottom` and `axisLeft` with custom tick formatting, while the data is loaded from a CSV file via `d3.csv`.

Ccpsshan

94% match

Loading thumbnail…

Temperature of San Francisco

This area chart displays world population growth from 2005 to 2015, using a smoothed curve to highlight the steady upward trend. The visualization loads data from a local CSV file and renders it as an SVG path using D3’s area generator with basis curve interpolation. It employs `scaleTime` for the temporal x-axis and `scaleLinear` for the population y-axis, with custom axes and labels. The maroon fill emphasizes the area under the curve, while grid lines and axis ticks use D3’s `axisBottom` and `axisLeft` APIs.

Ggcappadaniel

94% match

Loading thumbnail…

Temperature in San Francisco

This visualization tracks global population trends with a smooth, maroon area chart. It displays data from the World Population by Year 2015 dataset, sourced from VizHub. The years are plotted on a time-scaled x-axis against population counts on a linear y-axis. The code constructs the chart using d3.scaleTime, d3.scaleLinear, and d3.area, while d3.axisBottom and d3.axisLeft generate the gridlines and labels. The population values are converted to numbers and the years to Date objects before rendering. The title appears at the top, and the chart is drawn using an SVG path.

Yyoghurtx

93% match

Loading thumbnail…

Temperature in San Francisco

This area chart shows world population growth over time, using a filled path to represent population values across years. The visualization loads CSV data from a remote dataset and maps years to a time scale, with population counts on a linear scale. It uses d3.area with curveBasis for smoothing, d3.axisBottom and d3.axisLeft for labeled axes, and d3.format to abbreviate population numbers. The SVG rendering includes grid lines and clear axis titles, with the population area filled in steel blue.

Ccpsshan

93% match

Loading thumbnail…

Temperature in San Francisco Scatterplot

This scatterplot visualizes world population by year using a filled area chart. The data comes from a CSV file and is rendered as an SVG using D3 v5, with scales for time and linear values. The code employs `scaleTime`, `scaleLinear`, `area`, and `curveBasis` to generate the smooth filled path, while axes, labels, and tick formatting are handled via `axisLeft`, `axisBottom`, and `format`. The visualization emphasizes the population growth curve over time with a styled grid and title.

MMelina

92% match

Loading thumbnail…

Temperature in San Francisco Area Area

This visualization shows the growth of world population from 1960 to 2015 using a filled area chart, with time on the x-axis and population count on the y-axis. The SVG rendering relies on d3.area with a basis curve to create the smooth maroon shape, while scaleTime and scaleLinear map the data to coordinates. Axes are generated with axisBottom and axisLeft, using custom tick formatting that converts large numbers into billions. The data comes from a CSV file fetched via d3.csv, with year parsed as a Date and population as a number.

1123fischer

92% match

Loading thumbnail…

Temperature in San Francisco: line charts

This visualization uses a filled line chart to show the evolution of world population from 1960 to 2015. The area under the curve is rendered in yellow, with gridlines and labeled axes for year and population using d3.scaleTime and d3.scaleLinear. Data is loaded from a CSV file via d3.csv, and the chart is drawn as an SVG path generated by d3.area with a curveBasis interpolation.

AAnthony-coding

91% match

Loading thumbnail…

Temperature in San Francisco Area Chart

This area chart shows global population growth from 1950 to 1957, with the y-axis displaying population in billions and the x-axis showing years. The visualization uses D3 v5’s `csv` loader to parse the dataset, then applies `scaleTime` and `scaleLinear` to map data to screen coordinates, while the `area` generator with `curveBasis` creates the smooth, filled region beneath the line. The SVG rendering includes custom axes via `axisBottom` and `axisLeft`, formatted ticks using `format`, and a title overlaid on the chart.

JJonathan Phelps

91% match