lena + visualization   128

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Explained Visually
Explained Visually (EV) is an experiment in making hard ideas intuitive inspired the work of Bret Victor's Explorable Explanations.

Regression, PCA, Eigenvalues, Pi, Sine/Cosine, Markov chains, Probability
math  programming  statistics  probability  visualization  pca  matrix  markov
5 weeks ago by lena
Data Design: Visualising Quantities, Locations, Connections: Per Mollerup: 9781408191873: Amazon.com: Books
Data Design: Visualising quantities, locations, connections is a lively and comprehensive introduction to data visualisation, illustrated with 199 instructive data displays. The book is for designers, journalists, editors, writers and anyone concerned with presenting factual information in a clear and effective way.
data  visualization  statistics  books  graphs  charts  plots
9 weeks ago by lena
Predator and Prey / Observable
Beautiful interactive Lotka-Volterra visualizations.
data  visualization  calculus  math  differentialequations
9 weeks ago by lena
Methods of Comparison, Compared / Observable
Methods of Comparison, Compared
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Log ratios are often used when considering growth, as with investment returns. For example, if a stock doubles and then halves, you’re back where you started: log⁡(21) log⁡(12)=0\log(\tfrac{2}{1}) \log(\tfrac{1}{2}) = 0log(12​) log(21​)=0. On the other hand if a stock goes up by fifty percent then down by fifty percent, you’ve lost twenty-five percent of your investment: (1×0.5)−(1.5×0.5)=−0.25(1 \times 0.5) - (1.5 \times 0.5) = -0.25(1×0.5)−(1.5×0.5)=−0.25. This is why log scales are commonly used in stock price charts, such as this change line chart and index chart.
maps  statistics  visualization  comparison
9 weeks ago by lena
Observable
Discover insights faster and communicate more effectively with interactive notebooks for data analysis, visualization, and exploration.
notebook  data  programming  visualization
9 weeks ago by lena
Python Histogram Plotting: NumPy, Matplotlib, Pandas & Seaborn – Real Python
In this tutorial, you'll be equipped to make production-quality, presentation-ready Python histogram plots with a range of choices and features. It's your one-stop shop for constructing & manipulating histograms with Python's scientific stack.
python  visualization  plots
10 weeks ago by lena
Our World in Data
Living conditions around the world are changing rapidly. Explore how and why.
data  statistics  visualization
11 weeks ago by lena
Exploring a quantitative variable with lattice
Nice explanation of stripplot and other lattice plots.
r  plots  visualization
june 2018 by lena
Bar Plots and Modern Alternatives | R-bloggers
Scroll down - lollipop and dot plot look useful
visualization  data  plots  charts
june 2018 by lena
GitHub - altair-viz/altair: Declarative statistical visualization library for Python
Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understanding your data and its meaning. Altair's API is simple, friendly and consistent and built on top of the powerful Vega-Lite JSON specification. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code.
visualization  python  plots  jupyter  charts
may 2018 by lena
User:LucasVB/Gallery - Wikipedia
Amazing math visualizations, e.g. cosine/sine/unit circle, converting polar/cartesian coordinates, completing the square, eigenvectors, etc.
animation  graphics  math  science  visualization
october 2017 by lena
Interpreting Confidence intervals
interactive confidence interval simulation
statistics  visualization
october 2017 by lena
🌟 Introducing Dash 🌟 – plotly – Medium
Dash is a Open Source Python library for creating reactive, Web-based applications.
python  visualization  webdev  datascience
july 2017 by lena
Weave (Web-based Analysis and Visualization Environment)
Weave is a new web-based visualization platform designed to enable visualization of any available data by anyone for any purpose.
visualization  data  opensource
april 2016 by lena
GBD Compare
Analyze the world’s health levels and trends in one interactive tool. Use treemaps, maps, and other charts to compare causes within a country, compare countries with regions or the world, and explore patterns and trends by country, age, and gender. Drill from a global view into specific details. Watch how disease patterns have changed over time. See which causes of death and disability are having more impact and which are waning.
visualization  health  mortality
may 2014 by lena
D3.js - Data-Driven Documents
D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.
visualization  data  tools  free
november 2012 by lena
TileMill | MapBox
TileMill is an application for making beautiful maps. Whether you're a journalist, web designer, researcher, or seasoned cartographer, TileMill is the design studio you need to create compelling, interactive maps.
maps  visualization
january 2012 by lena
App Store Milestone: 500,000 Applications Approved – App Store Insiders, Blog – 148Apps – iPhone App and Game Reviews and News
37% of all live applications are free while 15% are games. It’s interesting that in recent months Books has been the largest category. But just this last month we saw Games overtake Books once again.
apps  ios  iphone  ipad  visualization  from delicious
may 2011 by lena
SM2DGraphView Framework Site
The SM2DGraphView framework is an open source project that makes adding nice looking graphs and/or pie charts to your Cocoa application a breeze. Below is a screen shot of the test application included with the framework project.
charts  graphs  free  cocoa  visualization  osx  objective-c  from delicious
april 2011 by lena
MAPfrappe - Move Outlines
Compare sizes of countries/continents/oceans etc. on Google Maps
maps  comparison  distance  geography  visualization  from delicious
october 2010 by lena
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