Tag: Data

Free Download Javascript Json Ajax Api Data For Web Pages Objects Arrays
Last updated 2/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.80 GB | Duration: 8h 46m
JavaScript code to connect to web APIs and get JSON data use AJAX explore JavaScript Objects and Arrays for JSON

Free Download Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation By Mark Gardener
2017 | 352 Pages | ISBN: 178427139X | EPUB | 21 MB
This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. Statistical approaches covered include: data exploration; tests for difference – t-test and U-test; correlation – Spearman’s rank test and Pearson product-moment; association including Chi-squared tests and goodness of fit; multivariate testing using analysis of variance (ANOVA) and Kruskal-Wallis test; and multiple regression. Key skills taught in this book include: how to plan ecological projects; how to record and assemble your data; how to use R and Excel for data analysis and graphs; how to carry out a wide range of statistical analyses including analysis of variance and regression; how to create professional looking graphs; and how to present your results.New in this edition: a completely revised chapter on graphics including graph types and their uses, Excel Chart Tools, R graphics commands and producing different chart types in Excel and in R; an expanded range of support material online, including; example data, exercises and additional notes & explanations; a new chapter on basic community statistics, biodiversity and similarity; chapter summaries and end-of-chapter exercises. Praise for the first edition: This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. – Sue Townsend, Biodiversity Learning Manager, Field Studies Council [M]akes it easy for the reader to synthesise R and Excel and there is extra help and sample data available on the free companion webpage if needed. I recommended this text to the university library as well as to colleagues at my student workshops on R. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel – Mark Edwards, EcoBlogging A must for anyone getting to grips with data analysis using R and excel.- Amazon 5-star review It has been very easy to follow and will be perfect for anyone. – Amazon 5-star review A solid introduction to working with Excel and R. The writing is clear and informative, the book provides plenty of examples and figures so that each string of code in R or step in Excel is understood by the reader. – Goodreads, 4-star review

Free Download Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas by Panos Alexopoulos
English | September 29th, 2020 | ISBN: 1492054275 | 328 pages | True EPUB (Retail Copy) | 4.89 MB
What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold-but you still fail. The reason? Bad data semantics.

Free Download Data-Driven SEO with Python: Solve SEO Challenges with Data Science Using Python
English | 2023 | ISBN: 9781484291757 | 277 pages | PDF | 11.05 MB
Solve SEO problems using data science. This hands-on book is packed with Python code and data science techniques to help you generate data-driven recommendations and automate the SEO workload.

Free Download The Enterprise Data Catalog: Improve Data Discovery, Ensure Data Governance, and Enable Innovation
English | 2023 | ISBN: 149209871X | 264 Pages | PDF | 5 MB
Combing the web is simple, but how do you search for data at work? It’s difficult and time-consuming, and can sometimes seem impossible. This book introduces a practical solution: the data catalog. Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance.

Free Download Python Data Analysis for Newbies: Numpy/pandas/matDescriptionlib/scikit-learn/keras by Joshua K. Cage
English | 2020 | ISBN: N/A | ASIN: B08HRJ4ZXX | 131 pages | EPUB | 0.90 Mb
Thank you for picking up this book. This book is a beginner’s introduction to data analysis using Python programming. This book is written for the following readers. 1) Interested in machine learning and deep learning 2) Interested in programming with Python. 3) Interested in data analysis. 4) Interested in using Numpy/Pandas/MatDescriptionlib/ScikitLearn. 5) Not interested in building machine learning environments. 6) Not interested in spending a lot of money for learning. 7) Vaguely worried about the new corona epidemic and the future. Many of my friends and acquaintances have started data analysis with a vengeance, only to be satisfied with the day-long process of setting up an environment, and then, after doing MNIST (handwritten numeric image data sets) and iris classification tutorials, they get busy with their day jobs and abandon it for a while.

Free Download Python Data Analysis: Comprehensive Guide to Data Science, Analytics and Metrics with Python by Alex Campbell
English | September 18, 2021 | ISBN: N/A | ASIN: B09GJMMXYT | 85 pages | EPUB | 0.44 Mb
The term data science has gained a lot of popularity recently. The subject is of immense importance to people handling online projects. Data science not only improves business handling skills and easy ways of gaining popularity, but it also improves your skill set in programming. If you want to be a part of data science, then you will require nothing more than some knowledge in mathematics and computing segments like programming languages. Python is a high-level language in the world of computing and programming, which works with data science.We have covered everything you need to know regarding Data Science, Analytics, and Metrics with Python. You will find the various aspects of data science covered in this book with the detailed steps on a data science project. You’ll learn the Pandas library, DataFrames, and series along with practical real-life examples to help you understand Data Science in a better and easier manner.Topics like Data Munging, Distribution Analysis, Variable Analysis, Anaconda Setup, Importing Dataset, and Developing Models will help give you insights about Python programming. We also included how to use MatDescriptionlib in Python for Data Metrics. Demos are provided so that you can understand Metrics in Python in a practical manner. Special attention has been given to Counters, Gauges, and Histograms for calculating the metrics in Python.Finally, we also have a chapter on building a predictive model in Python with detailed steps including Logistic Regression, Decision Tree, Data Prediction, and Data Analysis.

Free Download Privacy in the Age of Big Data: Recognizing Threats, Defending Your Rights, and Protecting Your Family, 2nd Edition by Theresa Payton, Ted Claypoole
English | March 15th, 2023 | ISBN: 1538167824 | 368 pages | True EPUB | 0.47 MB
A thorough update to a classic in the field of privacy and big data.

Free Download Learning Data Science
English | 2023 | ISBN: 9781098112998 | 531 Pages | EPUB (True) | 9 MB
As an aspiring data scientist, you appreciate why organizations rely on data for important decisions-whether it’s for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data.

Free Download Implicit Curves and Surfaces: Mathematics, Data Structures and Algorithms by Abel J. P. Gomes, Irina Voiculescu, Joaquim Jorge, Brian Wyvill, Callum Galbraith
English | PDF (True) | 2009 | 351 Pages | ISBN : 184882405X | 67.4 MB
Implicit objects have gained increasing importance in geometric modeling, visualisation, animation, and computer graphics, because their geometric properties provide a good alternative to traditional parametric objects. This book presents the mathematics, computational methods and data structures, as well as the algorithms needed to render implicit curves and surfaces, and shows how implicit objects can easily describe smooth, intricate, and articulatable shapes, and hence why they are being increasingly used in graphical applications.