An optimal dashboard is Accurate, Clear, Empowering, and Succinct. These key tenets can be remembered with the acronym ACES. Accurate A dashboard lives and dies by the trust the viewers have in what they are seeing. If the viewers doubt a dashboard’s accuracy, it will not be used to make decisions. Working with an inaccurate dashboard can cause people to be more hesitant to trust any dashboard the
1 How to visualize decision trees Terence Parr and Prince Grover (Terence is a tech lead at Google and ex-Professor of computer/data science in University of San Francisco's MS in Data Science program and Prince is an alumnus. You might know Terence as the creator of the ANTLR parser generator.) Please send comments, suggestions, or fixes to Terence. Update July 2020 Tudor Lapusan has become a maj
A visual introduction to machine learning—Part II Model Tuning and the Bias-Variance Tradeoff The goal of modeling is to approximate real-life situations by identifying and encoding patterns in data. Models make mistakes if those patterns are overly simple or overly complex. In Part 1, we created a model that distinguishes homes in San Francisco from those in New York. Now, we'll talk about tuning
ＴＰＰ 巨大経済圏の実力 環太平洋経済連携協定（ＴＰＰ）の承認案と関連法案の国会審議が始まった。ＴＰＰが発効すれば世界の国内総生産（ＧＤＰ）の４割を占める巨大経済圏が実現する。しかし、米国では大統領選で争う共和党のトランプ氏と民主党のクリントン氏の両候補がそろって批准反対を表明しており、早期発効には暗雲が垂れこめている。 ＴＰＰ参加国のＧＤＰは世界の４割を占める 日本や米国など12カ国が参加するＴＰＰは、2015年10月に大筋合意をとりつけ、16年２月に各国が協定に署名した。署名から２年以内に12カ国すべてで国内手続きが完了すると、協定が発効する。２年以内に手続きが終わらない場合、12カ国のうち、ＧＤＰの85％以上を占める６カ国以上が手続きを終える必要がある。そのためＧＤＰの60％超を占める米国の批准が必須だ。次の大統領候補がそろって反対姿勢を示すなか、オバマ大統領在任中の米国の批准が焦点
Device utilization is a key metric for performance analysis and capacity planning. On this page I'll illustrate different ways to visualize device utilization across multiple devices, and how that utilization is changing over time. As a system to study, I'll examine a production cloud environment that contains over 5,000 virtual CPUs (over 600 physical processors). I'll show how well different vis
After a recent stint in query optimization, I once again found myself wanting a better way to view query plans produced by EXPLAIN. So, I finally decided to do something about it and the result is Postgres EXPLAIN Visualizer (or Pev): Why Pev I wanted a tool that can make plans simple to understand and be visually pleasing. More specifically, I wanted: minimal visual noise insights high degree of
Monitor Track any topic on social media and the web and gain relevant insights instantly. 1 billion sources Real time monitoring Data up to 2 years Analyze Get the big picture on any topic, measure your impact with social listening metrics. Ready-to-use templates Sentiment analysis Share of voice Engage Interact with your community on social media and improve your reach and engagement. AI tools Pu
10. jmc Java Mission Control ● メモリ統計、スレッド数、クラス数をグラフィカルに表 示 ● jconsoleと似たような感じだけどjmcの方がなうい？ ● ダッシュボードのカスタマイズ（グラフの追加）が可能 ● Flight Recorderというプロファイリングツールがあ る。が商用ライセンスが必要（らしい ● -XX:+UnlockCommercialFeatures -XX:+FlightRecorder ● Eclipseプラグインとしても利用できる（らしい
Why Tableau Toggle sub-navigation What Is Tableau Build a Data Culture Tableau Economy The Tableau Community The Salesforce Advantage Our Customers About Tableau Toggle sub-navigation Mission Tableau Research Awards and Recognition Tableau Foundation Equality at Tableau Products Toggle sub-navigation Tableau Artificial Intelligence Toggle sub-navigation Tableau Pulse Tableau Agent Embedded Analyti
We are going to skip instructing you on how to add your files for commit in this explanation. Let's assume you already know how to do that. If you don't, go read some other tutorials. Pretend that you already have your files staged for commit and enter git commit as many times as you like in the terminal box. git branch name will create a new branch named "name". Creating branches just creates a n
1. 1 「この Visualiza)on ツールがすごい2014」 〜データ世界を彩る美しきツール6選〜 March 2nd, 2014 データ可視化勉強会 Presented by Takahiro Inoue – Chief Data Scien:st 2. 2 Agenda 1. 2. 3. 4. 5. 6. 7. 8. Introduc:on Learning Visualiza:on 表計算部門：aabel3 Takahiro noue – Chief Data Dashboard 部門：Metric IInsights Scien:st BI 部門：tableau 統計ソフト部門：ggplot2 抽象化部門：Neo4j（Graph Database） プログラミング部門：d3.js（省略） Presented by 4. 4 Introduc)on • Takahiro I
Currently, we have visualizations for the following data structures and algorithms: Basics Stack: Array Implementation Stack: Linked List Implementation Queues: Array Implementation Queues: Linked List Implementation Lists: Array Implementation (available in java version) Lists: Linked List Implementation (available in java version) Recursion Factorial Reversing a String N-Queens Problem Indexing
A book about how streaming changes music, by Glenn McDonald; Canbury Press, 2024
stash workspace index local repository upstream repository status Displays paths that have differences between the index file and the current HEAD commit, paths that have differences between the workspace and the index file, and paths in the workspace that are not tracked by git. diff Displays the differences not added to the index. diff commit or branch View the changes you have in your workspace
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