Skip to main content
SimilarExport ZIP
100%

Balkendiagramm Einwohner Bezirke Berlin mit Menu

✓ Published1🌍 Public
CChrisHeinirch
Last edited Dec 9, 2021
Created on Dec 1, 2021

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.

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

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.

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
81% 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
81% 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
74% match
Loading thumbnail…

Prototyp

This dashboard prototype demonstrates the integration of four distinct visualizations: a bar chart depicting Berlin district populations from 2005 to 2020, a line chart of cumulative COVID-19 cases with a brushable timeline for filtering, and two scatter plots exploring demographic data (LOR codes and population attributes) and COVID-19 statistics by age group. Built with React and D3 v6, the interactive visualizations feature dropdown menus for attribute selection, color legends with hover filtering, and data loaded from CSV files via `d3.csv`. Each chart component—axes, marks, and legends—is modularized within the React framework, rendered as SVG elements.

CChrisHeinirch
72% 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
71% 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
71% match
Loading thumbnail…

d3 Updating Bar Chart With Dropdown

A dropdown menu lets viewers choose a country, triggering an animated bar chart update that displays population values across seven census years. The visualization uses D3 v3 with SVG rendering, employing `d3.scale.ordinal` for the x-axis, `d3.scale.linear` for the y-axis, and `transition().duration()` for smooth bar height and position changes. Data comes from a CSV file mapping countries to population figures from 1970 through 2022.

Mmavercikalvin
70% match