Diagram Maker: Open sourcing IoT visualization | Amazon Web Services
AWS Open Source Blog Diagram Maker: Open sourcing IoT visualization Today we are announcing Diagram Maker, an open source graphical user interface library for IoT application developers. With Diagram Maker, IoT application developers can define their own user interface and user experience, or suppress it completely and build their own custom behavior using Diagram Maker APIs. In this post, we expl
An interactive visualization of the exponential spread of COVID-19 A project to explore the global growth of COVID-19. Updated daily. Overview and motivations. Reliable, Timely COVID-19 Raw Data Sources No Longer Available August 2023: There are currently no longer any consistent, daily, and reliable data sources for COVID cases in the United States. Johns Hopkins University, the default and most
Welcome This is the online version of “Modern Data Visualization with R”, published by CRC Press. A print version is also available from Amazon. R is an amazing platform for data analysis, capable of creating almost any type of graph. This book helps you create the most popular visualizations - from quick and dirty plots to publication-ready graphs. The text relies heavily on the ggplot2 package f
Web-based Data Visualization
with Rust and WebAssembly
Rust.Tokyo 2019の登壇資料です。 https://rust.tokyo/ Webベースのデータビジュアライゼーションの需要は高まっていますが、大量のデータをWebブラウザ上で処理するためにはパフォーマンス上の課題が発生します。そのようなWebでのパフォーマンス上の課題を解決するために、WebAssemblyと呼ばれるWebブラウザ上で実行可能なバイナリフォーマット言語が新たに整備されてきました。WebAssemblyはRustによって公式にサポートされているため、Rustの表現力とパフォーマンスの恩恵を受けながらWebAssemblyを用いた開発を行うことができます。本セッションでは、WebAssemblyの概要やRustによるWebAssembly開発の方法、RustとWebAssemblyの今後の展望をネットワークビジュアライゼーションでの事例を混じえてご紹介します。
Remote visualization in HPC using NICE DCV with ParallelCluster | Amazon Web Services
AWS Open Source Blog Remote visualization in HPC using NICE DCV with ParallelCluster NICE DCV is an AWS-owned high performance remote display protocol, which specializes in 2D/3D interactive streaming over the internet or a local network (e.g., WiFi). With the power of NICE DCV we can seamlessly connect to our remote session running either in the cloud or data center via internet from a local lapt
GitHub - go-echarts/statsview: 🚀 A real-time Golang runtime stats visualization profiler
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Beautiful, easy data visualization and storytelling
Source Map Visualization
This is a visualization of JavaScript/CSS source map data, which is useful for debugging problems with generated source maps. It's designed to be high-performance so it doesn't fall over with huge source maps. Drag and drop some files here or Upload files to get started. You can either drop a single JavaScript/CSS file with an inline source map comment, or a JavaScript/CSS file and a separate sour
OpenCelliD Visualization
OpenCelliD is the world's largest open database of cell towers with a license CC BY-SA 4.0 Data has full world coverage and freely available for download. This tabular data[1] has ~40 million rows and 6 columns in it but only 3 columns (latitude, longitude, and type) are used in this visualization. [1] Structure of input data. Above table data is read line by line and grouped by their location inf
Instructor Dr. Andrew Heiss 55 Park Place SE, Room 464 aheiss@gsu.edu andrewheiss Schedule an appointment Course details Any day June 5–July 30, 2023 Asynchronous Anywhere Slack Course objectives Data rarely speaks for itself. On their own, the facts contained in raw data are difficult to understand, and in the absence of beauty and order, it is impossible to understand the truth that the data sho
GitHub - anvaka/city-roads: Visualization of all roads within any city
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GitHub - ptyadana/Data-Science-and-Machine-Learning-Projects-Dojo: collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boo
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Dynamic visualization of high-dimensional data - Nature Computational Science
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GitHub - cxli233/FriendsDontLetFriends: Friends don't let friends make certain types of data visualization - What are they and why are they bad.
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Amazon QuickSight - Visualization Basics (Japanese)
Collection of Workshops in Japanese covering authoring features in QuickSight . Material spans from level 100 to 300. Author Workshop - Step by step instructions to grow your dashboard building skills from basic to advanced level.
Buffer Visualizationモードで色々な情報を出せますが、プロジェクトによって独自に見たいモードなどを作りたいかもしれません。Buffer Visualizationはエンジン改造をすることなく簡単に拡張/差し替えができます。 Buffer Visualizationの各種モードは、Engine/Config/BaseEngine.ini内部の[Engine.BufferVisualizationMaterials]に設定されています。 Buffer Visualizationはこの上のリストで指定されているポストプロセスマテリアルを呼び出すだけの機能だったのです。各種マテリアルはEngine Contentの中に入っています。 例: SceneColorのポストプロセスマテリアル ということで、こちらを書き換えてオリジナルのポストプロセスマテリアルを追加すればBuffer
![[UE4]Buffer Visualizationをカスタマイズする！ - Qiita](https://cdn-ak-scissors.b.st-hatena.com/image/square/af4051c0eac19d085d29803e46cf387ed0937e1c/height=288;version=1;width=512/https%3A%2F%2Fqiita-user-contents.imgix.net%2Fhttps%253A%252F%252Fcdn.qiita.com%252Fassets%252Fpublic%252Fadvent-calendar-ogp-background-7940cd1c8db80a7ec40711d90f43539e.jpg%3Fixlib%3Drb-4.0.0%26w%3D1200%26mark64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTk3MiZoPTM3OCZ0eHQ9JTVCVUU0JTVEQnVmZmVyJTIwVmlzdWFsaXphdGlvbiVFMyU4MiU5MiVFMyU4MiVBQiVFMyU4MiVCOSVFMyU4MiVCRiVFMyU4MyU5RSVFMyU4MiVBNCVFMyU4MiVCQSVFMyU4MSU5OSVFMyU4MiU4QiVFRiVCQyU4MSZ0eHQtYWxpZ249bGVmdCUyQ3RvcCZ0eHQtY29sb3I9JTIzM0EzQzNDJnR4dC1mb250PUhpcmFnaW5vJTIwU2FucyUyMFc2JnR4dC1zaXplPTU2JnM9NGZkZjg0YTUyODA5NGVlZjkxNGMwZGUwYzRjNGE4MmM%26mark-x%3D120%26mark-y%3D96%26blend64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZoPTc2Jnc9OTcyJnR4dD0lNDBFR0otTm9yaV9TaGlub3lhbWEmdHh0LWNvbG9yPSUyMzNBM0MzQyZ0eHQtZm9udD1IaXJhZ2lubyUyMFNhbnMlMjBXNiZ0eHQtc2l6ZT0zNiZ0eHQtYWxpZ249bGVmdCUyQ3RvcCZzPTc3ZjQ1OGQ2NjA2NWZlOTI2MzZjMWQyN2NlNWM5NTI2%26blend-x%3D120%26blend-y%3D445%26blend-mode%3Dnormal%26txt64%3DaW4gRXBpYyBHYW1lcyBKYXBhbg%26txt-width%3D972%26txt-clip%3Dend%252Cellipsis%26txt-color%3D%25233A3C3C%26txt-font%3DHiragino%2520Sans%2520W6%26txt-size%3D36%26txt-x%3D134%26txt-y%3D546%26s%3D355358527a0b8007939ad17be76652aa)
GitHub - utkuozbulak/pytorch-cnn-visualizations: Pytorch implementation of convolutional neural network visualization techniques
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The most powerful data visualization plugin Create charts with random, tabular or JSON data inside Sketch, Figma or Adobe XD. The richest collection of chart types 16 of the most popular chart types out-of-the-box. Didn't find what you want? Just let me know and I will add it to the collection.
Why Did We Copy Flutter? Because Even Google’s Castoffs Produce Greatness! “Google’s geniuses designed Flutter’s API to be elegant and efficient.” “Copying Flutter’s API gives us a top-tier data visualization framework with minimal effort.” “Flitter offers 50+ widgets, just like Flutter.” “Need help? Just ask ChatGPT or search YouTube for Flutter tips. Apply them to Flitter, and voilà, it works!”
NaiveTidyThis article introduces the algorithm to draw non-layered trees in linear time and re-layout partially when some nodes change in O(d) time, where d is the maximum depth of the changed node. The source code is available at zxch3n/tidy. It only takes a few milliseconds to finish the layout of a tree with tens of thousands of nodes within the web browser. IntroductionLayered and non-layeredA
Visualization
A talk about the theory of visualization
Python Interactive Network Visualization Using NetworkX, Plotly, and Dash
They say a graph is more than a thousand words. I totally agree with it. I would prefer to look at a network graph, rather than reading through lengthy documents, to understand a complicated network pattern. This post is about a Python interactive network visualization application. In the first half, it covers the network visualization…
Pandas DataFrame Visualization Tools - Practical Business Python
Introduction I have talked quite a bit about how pandas is a great alternative to Excel for many tasks. One of Excel’s benefits is that it offers an intuitive and powerful graphical interface for viewing your data. In contrast, pandas + a Jupyter notebook offers a lot of programmatic power but limited abilities to graphically display and manipulate a DataFrame view. There are several tools in the
Interactive Graph Visualization in Jupyter with ipycytoscape
The Jupyter widgets ecosystem offers a broad variety of data visualization tools for exploratory analysis in the notebook. However, we lack a good story for exploratory graph visualization. Cytoscape is an open-source software platform for visualizing complex networks and integrating these with any type of attribute data. While it comes from the computational biology community, cytoscape is fully-
We have seen that Python language is a powerful tool for data science and data operations, but how powerful is Python for Data visualization? One of the key responsibilities of Data scientists is to communicate results effectively with the stakeholders. This is where the power of visualization comes into play. Creating effective visualizations helps businesses identify patterns and subsequently he
Python tools for data visualization¶ Welcome to PyViz! The PyViz.org website is an open platform for helping users decide on the best open-source (OSS) Python data visualization tools for their purposes, with links, overviews, comparisons, and examples. Contents: Overviews of the OSS visualization packages available in Python, how they relate to each other, and the core concepts that underlie them
この記事はElastic Stack (Elasticsearch) Advent Calendar 2019の19日目の記事です。 はじめに Vega/Bison/Balrogの日英表記での対応が一生覚えられません。j-yamaです。 某日、某所にて。こんな質問を受けました。 『Kibanaでウォーターフォールチャートって表示できません？エクセルとかにあるやつなんですが。』 （もともとのKibanaにはないけれどVegaのExampleにはあったような…探してみよう） https://vega.github.io/vega-lite/examples/ （あった！） 「実験的な機能で、難しいんですけど、Vega Visualizationを使えばできるみたいですね（参考URLペタリ）」 『使い方教えてもらえます？』 「・・・」 というわけで、Kibana Vega Visualizati
Visualization has always been challenging task but with the advent of dataframe plot() function it is quite easy to create decent looking plots with your dataframe, The **plot** method on Series and DataFrame is just a simple wrapper around Matplotlib plt.plot() and you really don’t have to write those long matplotlib codes for plotting. In this post I will show you how to effectively use the pand
Source Map Visualization
This is a visualization of JavaScript/CSS source map data, which is useful for debugging problems with generated source maps. It's designed to be high-performance so it doesn't fall over with huge source maps. Drag and drop some files here or Upload files to get started. You can either drop a single JavaScript/CSS file with an inline source map comment, or a JavaScript/CSS file and a separate sour
CISA releases open-source 'RedEye' C2 log visualization tool
The U.S. Cybersecurity and Infrastructure Security (CISA) agency has announced RedEye, an open-source analytic tool for operators to visualize and report command and control (C2) activity. RedEye is for both red and blue teams, providing an easy way to gauge data that leads to practical decisions. Assessing attack campaigns A joint project from CISA and DOE’s Pacific Northwest National Laboratory,
Lookerを活用した可視化・分析業務の実践/Practice of visualization and analysis work using Looker in Developers IO 2019 by shinyaa31
Lookerを活用した可視化・分析業務の実践/Practice of visualization and analysis work using Looker in Developers IO 2019 by shinyaa31
NASA “Wildfire Digital Twin” Pioneers New AI Models and Streaming Data Techniques for Forecasting Fire and Smoke
Codemap visualizes any codebase as a graph for software engineers to quickly understand the code architecture. Supports Typescript, Python, Ruby, Go (Golang), and Terraform.
Lightning Flash 0.3 — New Tasks, Visualization Tools, Data Pipeline, and Flash Registry API
Lightning Flash is a library from the creators of PyTorch Lightning to enable quick baselining and experimentation with state-of-the-art models for popular Deep Learning tasks. We are excited to announce the release of Flash v0.3 which has been primarily focused on the design of a modular API to make it easier for developers to contribute and expand tasks. In addition to that, we have included 8 n
This set of star maps was created by plotting the position, brightness, and color of just over 100 million stars from the Bright Star, Tycho-2, and UCAC3 star catalogs. The constellation boundaries are those established by the International Astronomical Union in 1930. The constellation figures also come from the IAU, although they're not official. The maps are presented in plate carrée projections
This section demonstrates visualization through charting. For information on visualization of tabular data please see the section on Table Visualization. We use the standard convention for referencing the matplotlib API:
piqcy on Twitter: "Kaggleオフィシャルのデータサイエンスを学ぶコース。各トピックはそれほど長くないので、必要なところをつまんで参照することもできる。PandasやVisualization、Feature Engineeringなどは要チェック… https://t.co/MMyn1VxwJD"
Kaggleオフィシャルのデータサイエンスを学ぶコース。各トピックはそれほど長くないので、必要なところをつまんで参照することもできる。PandasやVisualization、Feature Engineeringなどは要チェック… https://t.co/MMyn1VxwJD
[アップデート]Amazon Detectiveが検出結果の相関を可視化するFinding Group Visualization機能が追加されました | DevelopersIO
こんにちは、臼田です。 みなさん、AWSのインシデント調査してますか？(挨拶 今回は、Amazon GuardDutyで検出したインシデントの調査が捗るAmazon Detectiveに神機能が追加されたので紹介します。(ちょっと前ですが Amazon Detective がインタラクティブなセキュリティ調査を可能にするグラフの視覚化を追加 まずはコチラを見てくれ… すっごく良くないですか？これ 検出したインシデントに関連するリソースの相関をグラフで表現してくれているんです。こちらはユーザーガイドよりお借りしました。 従来、Amazon Detectiveでは検出したインシデントに関連するリソースを一覧で出したり、検索したり、ドリルダウンしたりといろんな手法で確認することはできていましたが、こうやって1つの画面で関係性を可視化することはできませんでした。 それが一発で叶うという素晴らしい機
![[アップデート]Amazon Detectiveが検出結果の相関を可視化するFinding Group Visualization機能が追加されました | DevelopersIO](https://cdn-ak-scissors.b.st-hatena.com/image/square/e236e7ab62c58cd5a86088d11baa625ebfca4f94/height=288;version=1;width=512/https%3A%2F%2Fdevio2023-media.developers.io%2Fwp-content%2Fuploads%2F2023%2F05%2FAWS-Amazon-Detective.jpg)
GitHub - 8vana/8vana: The visualization tool of security incidents like retro games.
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An interactive visualization of COVID-19 | 91-DIVOC
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