There are 1 repository under bubble-chart topic.
📈📊🚀🚀🚀An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.
📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.
A thin, typed, React wrapper over Google Charts Visualization and Charts API.
📈📊⛰⛰⛰An elegant modern declarative data visualization chart framework for Android . Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.极其精美而又强大的 Android 数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.
📈📊☕️☕️☕️An elegant modern declarative data visualization chart framework for Android. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.极其精美而又强大的 Android 数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.
:bar_chart: Awesome charts for your ruby app powered by ApexCharts.JS.
Chart.js Choropleth and Bubble Maps
A Swiss version of the famous visualization «Land doesn't vote, people do.»
React Native plugin for rendering charts using ART
📈📊🎓🎓🎓AAChartKit-Pro is a professional version of AAChartKit, it is an elegant and friendly chart framework for iOS, iPadOS, macOS. AAChartKit-Pro is a more powerful data visualization framework that supports more types beautiful chart like bellcurve, bullet, columnpyramid, cylinder, dependencywheel, heatmap, histogram, networkgraph, organization, packedbubble, pareto, sankey, series, solidgauge, streamgraph, sunburst, tilemap, timeline, treemap, variablepie, variwide, vector, venn, windbarb, wordcloud, xrange charts and so on.
📊Getting Started with D3: how to build a reusable bubble chart
💭 Bubble chart created with D3.js
This package offers simple and easy integration of google charts with laravel
A javascript library to build bubble chart using d3 and d3plus
Chart.js templates reading data from .csv by HandsOnDataViz.org
Zomato Data Visualization with Streamlit.The project include visualization of 9000+ data with 7 functional tools to visualize dataset .Streamlit Framework is combined with data visualization tools like Pandas, Plotly , Altair, Pydeck etc. to provide a dynamic interface to analyze data.
Google Charts Extension for Yii 2
Bubble chart panel for grafana monitoring system.
Explore belly-button biodiversity with an interactive dashboard.
R Gallery Book
This project includes 5 types of 3D & 2D Charts and Graphs. Those are 3D Bar, 3D Bubble, 3D Line, 3D Pie, 3D Radar. You can change Chart/Graph data using .json dynamically.
Interactive and animated visualizations for analyzing the historical performance trends of the Hang Seng Index (HSI) by region and industry
This tool generates a bubble chart script for Gnuplot
Youtube Trend Dashboard - Find out what key characteristics make a particular youtube video land in the trending section
Reactive Bubble chart with vuejs and d3js
In this project, we visualized the youtube data from ten different countries on to a dynamic and fully responsive web page
A sample project for getting started with React + Nivo.
This project analyzes ride share app data. Demonstrates use of Python, Matplotlib, reading csv files, converting to dataframes, performing aggregate functions, and creating bubble plot and pie chart visualizations of data.
This project is to analyze severe weather in the United States between 2010-2016.
Bubble charts with click able urls using plotly and python