BOOKS - OS AND DB - Data Visualisation A Handbook for Data Driven Design 2nd Edition
Data Visualisation A Handbook for Data Driven Design 2nd Edition - Andy Kirk 2019 PDF SAGE Publications BOOKS OS AND DB
ECO~15 kg CO²

1 TON

Views
29818

Telegram
 
Data Visualisation A Handbook for Data Driven Design 2nd Edition
Author: Andy Kirk
Year: 2019
Pages: 328
Format: PDF
File size: 23.6 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Graph Data Science with Python and Neo4j Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies
Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
Statistics, Data Mining and Machine Learning in Astronomy A Practical Python Guide for the Analysis of Survey Data, Updated Ed
Data Science in Chemistry Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter (De Gruyter Textbook)
Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics (Third Early Release)
Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
Qlik Sense: Advanced Data Visualization for Your Organization: Create smart data visualizations and predictive analytics solutions
Advanced Data Science and Analytics with Python (Chapman and Hall CRC Data Mining and Knowledge Discovery Series)
Python Data Science The Ultimate Crash Course, Tips, and Tricks to Learn Data Analytics, Machine Learning, and Their Application
Proceedings of Data Analytics and Management: ICDAM 2021, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies, 90)
Supply Chain Performance Evaluation: Application of Data Envelopment Analysis (Studies in Big Data Book 122)
Azure Data Engineer Associate Certification Guide: Ace the DP-203 exam with advanced data engineering skills
Data Science with Python From Data Wrangling to Visualization
Data Science Fundamentals with R, Python, and Open Data
Data Engineering and Data Science: Concepts and Applications
Building a Scalable Data Warehouse with Data Vault 2.0
Supervised and Unsupervised Data Engineering for Multimedia Data
Supervised and Unsupervised Data Engineering for Multimedia Data
Supervised and Unsupervised Data Engineering for Multimedia Data
Predictive Data Modelling for Biomedical Data and Imaging
Probability and statistics for data science math + R + data
Data Engineering and Data Science Concepts and Applications
Data Protection Ensuring Data Availability Second Edition
Data Architecture A Primer for the Data Scientist Second Edition
Data Science and Data Analytics Opportunities and Challenges
Data Science Fundamentals with R, Python, and Open Data
Predictive Data Modelling for Biomedical Data and Imaging
Data Intensive Computing Applications for Big Data
Practical Python Data Wrangling and Data Quality
Data Mesh: Delivering Data-Driven Value at Scale
Data Science Fundamentals with R, Python, and Open Data
Data Management Using Stata A Practical Handbook Second Edition
Handbook of Digital Forensics of Multimedia Data and Devices
Handbook of Data Structures and Applications, 2nd Edition
Handbook of Data Science Approaches for Biomedical Engineering
Handbook of Data Center Management, 2nd Edition
Winning with Data Science: A Handbook for Business Leaders
Data Analytics and Python Programming 2 Bundle Manuscript Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Python Programming
Automated Data Analysis Using Excel (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Second Edition
Advanced Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)