BOOKS - OS AND DB - Avoiding Data Pitfalls How to Steer Clear of Common Blunders When...
Avoiding Data Pitfalls How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations - Ben Jones 2019 PDF Wiley BOOKS OS AND DB
ECO~14 kg CO²

1 TON

Views
76754

Telegram
 
Avoiding Data Pitfalls How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations
Author: Ben Jones
Year: 2019
Pages: 272
Format: PDF
File size: 11.4 MB
Language: ENG



Pay with Telegram STARS
Book Description: Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations Ben Jones Publisher: Wiley 2019 272 Format: Paperback/E-book Genre: Non-fiction, Technology, Data Analysis, Visualization Synopsis: In today's digital age, data is king. With the constant influx of information, it's easy to get lost in the sea of numbers and statistics. However, without proper understanding and analysis, data can quickly turn into noise, leading to misinformed decisions and costly mistakes. Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations is a reputationsaving handbook that helps readers avoid these all-too-common blunders in data analysis, visualization, and presentation. This book provides practical guidance for anyone who wants to ensure their data analysis and visualizations are both correct and useful. The book begins by exploring the need to study and understand the process of technology evolution, as the basis for the survival of humanity and the unification of people in a warring state. It emphasizes the importance of developing a personal paradigm for perceiving the technological process of developing modern knowledge, and how this can lead to a better understanding of the world around us.
Как избежать ловушек данных: как избежать распространенных ошибок при работе с данными и представлении анализа и визуализации Бен Джонс Издатель: Wiley 2019 272 Формат: Paperback/E-book Жанр: нон-фикшн, технологии, анализ данных, визуализация Синопсис: В сегодняшнем цифровая эпоха, данные - король. При постоянном притоке информации легко затеряться в море цифр и статистики. Однако без надлежащего понимания и анализа данные могут быстро превратиться в шум, что приведет к неверным решениям и дорогостоящим ошибкам. Как избежать ошибок при работе с данными и представлении анализа и визуализации - это руководство по сохранению репутации, которое помогает читателям избежать этих слишком распространенных ошибок при анализе, визуализации и представлении данных. Эта книга содержит практическое руководство для всех, кто хочет убедиться, что анализ и визуализация данных правильны и полезны. Книга начинается с исследования необходимости изучения и понимания процесса эволюции технологий, как основы выживания человечества и объединения людей в воюющем государстве. В нем подчеркивается важность выработки личностной парадигмы восприятия технологического процесса развития современных знаний, и того, как это может привести к лучшему пониманию окружающего мира.
Cómo evitar trampas de datos: cómo evitar errores comunes al trabajar con datos y presentar análisis y visualización Ben Jones Editor: Wiley 2019 272 Formato: Paperback/E-book Género: no ficción, tecnología, análisis de datos, visualización nopsis: En la era digital de hoy, los datos son el rey Con una afluencia constante de información, es fácil perderse en un mar de cifras y estadísticas. n embargo, sin la comprensión y el análisis adecuados, los datos pueden convertirse rápidamente en ruido, dando lugar a decisiones incorrectas y errores costosos. Cómo evitar errores al trabajar con datos y presentar análisis y visualización es una guía de preservación de la reputación que ayuda a los lectores a evitar estos errores demasiado comunes en el análisis, visualización y presentación de datos. Este libro proporciona una guía práctica para cualquier persona que quiera asegurarse de que el análisis y la visualización de los datos son correctos y útiles. libro comienza investigando la necesidad de estudiar y entender el proceso de evolución de la tecnología, como base para la supervivencia de la humanidad y la unión de los seres humanos en un estado en guerra. Destaca la importancia de generar un paradigma personal para percibir el proceso tecnológico del desarrollo del conocimiento moderno, y cómo esto puede conducir a una mejor comprensión del mundo que nos rodea.
Come evitare le trappole dei dati: come evitare errori comuni nei dati e nella visualizzazione di analisi e visualizzazione, Ben Jones Editore: Wiley 2019 272 Formato: Paperback/E-book Genere: no-fiction, tecnologia, analisi dei dati, visualizzazione nopsi: nell'era digitale di oggi, i dati sono re. In caso di costante afflusso di informazioni, è facile perdersi in un mare di cifre e statistiche. Tuttavia, senza una corretta comprensione e analisi, i dati possono rapidamente trasformarsi in rumore, causando soluzioni sbagliate e errori costosi. Come evitare errori nei dati e nella visualizzazione di analisi e rendering è una guida per la conservazione della reputazione che consente ai lettori di evitare errori troppo comuni nell'analisi, nella visualizzazione e nella visualizzazione dei dati. Questo libro contiene una guida pratica per tutti coloro che desiderano assicurarsi che l'analisi e la visualizzazione dei dati siano corrette e utili. Il libro inizia con la ricerca della necessità di studiare e comprendere l'evoluzione della tecnologia come base per la sopravvivenza dell'umanità e l'unione delle persone in uno stato in guerra. Sottolinea l'importanza di sviluppare un paradigma personale per la percezione del processo tecnologico dello sviluppo delle conoscenze moderne, e come ciò possa portare a una migliore comprensione del mondo circostante.
''
データトラップを回避する方法:データを操作して分析と可視化を提示するときの一般的なエラーを回避する方法Ben Jones Publisher: Wiley 2019 272フォーマット:Paperback/E-bookジャンル:ノンフィクション、テクノロジー、データ分析、可視化シノプシス:今日のデジタル時代において、データは王です。情報の一定の流れで、数字と統計の海で迷子になりやすいです。しかし、適切な理解と分析がなければ、データはすばやくノイズに変わる可能性があり、意思決定の不備やコストのかかるエラーにつながります。データエラーと分析と可視化プレゼンテーションを避ける方法は、データを分析、可視化、および提示するときに、これらの一般的すぎるエラーを避けるのに役立つ評判ガイドです。この本は、データ分析と可視化が正しいと有用であることを確認したい人のための実用的なガイドを提供します。この本は、人類の生存と戦争状態における人々の統一の基礎として、技術の進化の過程を研究し理解する必要性の研究から始まります。それは、現代の知識の発展の技術的プロセスの認識のための個人的なパラダイムを開発することの重要性を強調し、これが周囲の世界のより良い理解につながる方法。

You may also be interested in:

From Data To Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines
Hands On With Google Data Studio A Data Citizen|s Survival Guide
Real-Time Data Analytics for Large Scale Sensor Data Volume Six
Introducing Data Science Big data, machine learning, and more, using Python tools
Data in Context: Models as Enablers for Managing and Using Data (The Enterprise Engineering Series)
Data Quality Engineering in Financial Services Applying Manufacturing Techniques to Data
IBM Cloud Pak for Data: An enterprise platform to operationalize data, analytics, and AI
Data Analytics for Absolute Beginners A Deconstructed Guide to Data Literacy, Second Edition
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Final)
Unifying Business, Data, and Code: Designing Data Products With Json Schema
Data Engineering with AWS: A Comprehensive Guide to Building Robust Data Pipelines
Analytics in a Big Data World The Essential Guide to Data Science and its Applications
Data Warehouse and Data Mining Concepts, techniques and real life applications
Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things
Unifying Business, Data, and Code Designing Data Products With JSON Schema
Data Is Everybody|s Business: The Fundamentals of Data Monetization (Management on the Cutting Edge)
Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Fuzzy Data Matching with SQL Enhancing Data Quality and Query Performance
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
Power BI Give Life to Your Data With the Complete and Fastest Crash Course on Data Visualization
Big Data in Astronomy Scientific Data Processing for Advanced Radio Telescopes
Azure Data Factory by Example Practical Implementation for Data Engineers, 2nd Edition
Integrity Constraints on Rich Data Types (Synthesis Lectures on Data Management)
Controlling Privacy and the Use of Data Assets - Volume 2 What is the New World Currency – Data or Trust?
Explainable Machine Learning for Geospatial Data Analysis A Data-Centric Approach
Data Pipelines Pocket Reference Moving and Processing Data for Analytics (Final)
Confident Data Skills Master the Fundamentals of Working with Data and Supercharge Your Career
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
The Functional Approach to Data Management: Modeling, Analyzing and Integrating Heterogeneous Data
Cloud Data Center Network Architectures and Technologies (Data Communication Series)
Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Python Data Science Handbook Essential Tools for Working with Data
Introduction to Data Science Data Wrangling and Visualization with R, 2nd Edition
The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R
Data as a Service A Framework for Providing Reusable Enterprise Data Services
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights
The Visual Organization Data Visualization, Big Data, and the Quest for Better Decisions
Python Data Science Handbook: Essential Tools for Working with Data