Balkendiagramm Einwohner Bezirke Berlin

100%

Balkendiagramm Einwohner Bezirke Berlin

✓ Published0🌍 Public

Last edited Dec 30, 2021

Created on Dec 30, 2021

Forked from Balkendiagramm Einwohner Bezirke Berlin mit Menu

This interactive bar chart displays the population of Berlin's districts for the year 2020. Built with React and D3 v5, it uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis, rendering data as SVG rectangles. The chart includes axes with formatted tick labels and a tooltip showing the exact population value. Data is loaded from a CSV file via `d3.csv`, based on statistics from Stadtentwicklung Berlin.

AI-generated description

Balkendiagramm zu den Einwohnerzahlen der Berliner Bezirke mit Menu zur Jahresauswahl (2005,2010,2015,2020) Quelle Stadtentwicklung Berlin

MIT Licensed

Similar vizzes

Loading thumbnail…

Balkendiagramm Einwohner Bezirke Berlin mit Menu

This bar chart displays the population of Berlin's districts for the years 2005, 2010, 2015, and 2020, using a React-based menu to switch between these temporal datasets. The visualization renders as SVG, using D3's `scaleBand` for the categorical y-axis (districts) and `scaleLinear` for the numerical x-axis (population). D3's `csv` function loads the data from a GitHub gist. The chart encodes values with horizontal bars, colored in a uniform tone, with axis ticks and labels formatted in a custom style, while a dropdown menu (via `react-dropdown`) controls the year selection.

CChrisHeinirch

93% match

Loading thumbnail…

Designed Streudiagramm Einwohner Berlin nach LOR und Altersgruppen mit Menu

This scatterplot visualizes Berlin's population data across LOR planning areas, with each point representing a district's demographic profile. Users can dynamically select which age group or population metric to plot on the X and Y axes via dropdown menus. The visualization leverages React for interactive state management, D3 v5 for scales and CSV data loading, and SVG rendering for the plotted points. A color legend encodes Berlin's districts, while tooltips reveal exact values for each data point. The data comes from official Berlin statistics on residents by LOR planning area as of December 31, 2020.

CChrisHeinirch

79% match

Loading thumbnail…

Interactive Streudiagramm Einwohner Berlin nach LOR und Altersgruppen mit Menu

This interactive scatterplot visualizes population data for Berlin’s LOR planning areas, showing residents by age group. A dropdown menu allows selection of any age cohort or total population for the x-axis, while the y-axis displays LOR codes. A color legend, using `scaleOrdinal`, encodes Berlin districts, with hover highlighting filtering the displayed circles. Built with React and D3 v5, the SVG chart uses `scaleLinear` for axes and `csv` for data loading from a gist.

CChrisHeinirch

78% match

Loading thumbnail…

Liniendiagramm gemeldete Covid-Faelle Berlin

The chart displays cumulative reported COVID-19 cases across Berlin’s districts from January 1 to November 9, 2021, using a line with circular markers. It is rendered as SVG via React components, with scales from d3.scaleTime and d3.scaleLinear, and axes built with custom tick components. The line path and circles are generated using d3.line and d3.curveNatural, while hover tooltips use native SVG `<title>` elements. Data is loaded asynchronously from a CSV via d3.csv, and the visualization is based on public Berlin open data.

CChrisHeinirch

76% match

Loading thumbnail…

Histogramm gemeldete Covid-Faelle Berlin

This interactive histogram visualizes reported COVID-19 cases in Berlin from January 1 to November 9, 2021, using public data from Berlin’s open data portal. It shows the cumulative number of cases per day, with the x-axis representing dates and the y-axis showing reported case counts. The chart is built with React and D3 v5, using `scaleTime` and `scaleLinear` for axes, and renders individual bars as SVG rectangles. The code reads the dataset via D3’s `csv` function and customizes axes and marks with helper components.

CChrisHeinirch

73% match

Loading thumbnail…

Karte Berlin

This example shows a map of Berlin’s districts, rendered as outlined polygons on a blank SVG canvas. The visualization uses the `geoConicEqualArea` projection and `geoPath` from D3 to convert GeoJSON features into SVG paths. Data is loaded asynchronously via `d3.json` from a GitHub-hosted GeoJSON file provided by Funke Interaktiv. The React component structure manages state and renders the map, with styling applied through CSS to define stroke and fill for the district boundaries.

CChrisHeinirch

71% match

Loading thumbnail…

Habitantes por Distrito en Barcelona

This bar chart shows the population of each district in Barcelona, ordered from most to least populous. The data is loaded from a CSV file and rendered as SVG rectangles, with populations scaled by a factor of ten. It uses d3.csv for data loading, d3.scaleLinear and d3.scaleBand for axes, and d3.axisLeft and d3.axisBottom to display the district names and population values.

DDiego-Vargas

70% match

Loading thumbnail…

Bar chart

This bar chart visualizes the population of a region from 1950 to 2020, with each bar’s height corresponding to the population for a given year. The visualization is rendered as an SVG using D3 v5 within a React framework, loading data from a CSV file. The code employs D3’s `scaleLinear` and `scaleBand` for axes scaling and positioning, with `axisLeft` and `axisBottom` for the chart’s Y and X axes, respectively. Bars are drawn as `rect` elements filled with steelblue.

JJari Sedergren

70% match