BOOKS - PROGRAMMING - Using R for Data Analysis in Social Sciences A Research Project...
Using R for Data Analysis in Social Sciences A Research Project-Oriented Approach - Quan Li 2018 PDF Oxford University Press BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
83515

Telegram
 
Using R for Data Analysis in Social Sciences A Research Project-Oriented Approach
Author: Quan Li
Year: 2018
Pages: 364
Format: PDF
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Geophysical Data Analysis and Inverse Theory with MATLAB and Python, 5th Edition
Derivatives Analytics with Python Data Analysis, Models, Simulation, Calibration and Hedging
Quantitative Analysis for System Applications Data Science and Analytics Tools and Techniques
Tableau Prep Up & Running Self-Service Data Preparation for Better Analysis, First Edition
Learning the Pandas Library Python Tools for Data Munging, Analysis, and Visual
Statistics and Data Analysis for Engineers and Scientists (Transactions on Computer Systems and Networks)
A Concise Handbook of Business Research Special Emphasis on Data Analysis Using MS-Excel and R
Introduction to Scientific Computing and Data Analysis (Texts in Computational Science and Engineering Book 13)
Deep Learning Applications in Image Analysis (Studies in Big Data Book 129)
Data Analysis for Business Decisions Case Studies in Excel, R, and ChatGPT, 3rd Edition
What is Quantitative Longitudinal Data Analysis? (The ‘What is?| Research Methods Series)
Real Estate Analysis in the Information Age Techniques for Big Data and Statistical Modeling
Practical Data Analysis Using Open Source Tools & Techniques (Volume Book 1)
Bioinformatic and Statistical Analysis of Microbiome Data: From Raw Sequences to Advanced Modeling with QIIME 2 and R
A Beginner’s Guide to Image Preprocessing Techniques (Intelligent Signal Processing and Data Analysis)
An Introduction to Spatial Data Analysis Remote Sensing and GIS with Open Source Software
Ethnic Groups and Population Changes in Twentieth Century Eastern Europe: History, Data and Analysis
Modelling Christianisation A Geospatial Analysis of the Archaeological Data on the Rural Church Network of Hungary
Statistics Slam Dunk Statistical analysis with R on real NBA data (Final Release)
Mastering Python A Comprehensive Guide to Hardcore Programming, Data Analysis, and Coding Projects
Probability and Computing Randomization and Probabilistic Techniques in Algorithms and Data Analysis, 2nd Edition
Mastering Python: A Comprehensive Guide to Hardcore Programming, Data Analysis, and Coding Projects
Mastering Python A Comprehensive Guide to Hardcore Programming, Data Analysis, and Coding Projects
Statistics Slam Dunk Statistical analysis with R on real NBA data (Final Release)
Python Quick Data Analysis User’s Guide Easy Hand on Project to Master Programming
Applied Text Analysis with Python Enabling Language Aware Data Products with Machine Learning
MATLAB Programming Advanced Data Analysis, Visualisation, and Large-Scale Applications for Research and Development
Applied Machine Learning for Smart Data Analysis (Computational Intelligence in Engineering Problem Solving)
Data Analytics for Discourse Analysis with Python: The Case of Therapy Talk (Routledge Studies in Linguistics)
MATLAB Programming Advanced Data Analysis, Visualisation, and Large-Scale Applications for Research and Development
Python Polars The Definitive Guide Blazingly Fast Data Analysis (Fourth Early Release)
Python Polars The Definitive Guide Blazingly Fast Data Analysis (Fourth Early Release)
Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
Python for Geospatial Data Analysis Theory, Tools, and Practice for Location Intelligence (Second Early Release)
Applied Univariate, Bivariate, and Multivariate Statistics Using Python A Beginner|s Guide to Advanced Data Analysis
Machine Learning for Civil and Environmental Engineers: A Practical Approach to Data-Driven Analysis, Explainability, and Causality
Excel 2023 The Comprehensive Resource for Mastering Basic to Advanced Features, Charts, and Data Analysis Techniques
Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security
Hierarchical Modeling and Analysis for Spatial Data (Chapman and Hall CRC Monographs on Statistics and Applied Probability)
Machine Learning for Business How to Build Artificial Intelligence through Concepts of Statistics, Algorithms, Analysis, and Data Mining