Raw data, also known as primary data, are data (e.g., numbers, instrument readings, figures, etc.) collected from a source. In the context of examinations, the raw data might be described as a raw score (after test scores). If a scientist sets up a computerized thermometer which records the temperature of a chemical mixture in a test tube every minute, the list of temperature readings for every minute, as printed out on a spreadsheet or viewed on a computer screen are "raw data". Raw data have not been subjected to processing, "cleaning" by researchers to remove outliers, obvious instrument reading errors or data entry errors, or any analysis (e.g., determining central tendency aspects such as the average or median result). As well, raw data have not been subject to any other manipulation by a software program or a human researcher, analyst or technician. They are also referred to as primary data. Raw data is a relative term (see data), because even once raw data have been "cleaned" and processed by one team of researchers, another team may consider these processed data to be "raw data" for another stage of research. Raw data can be inputted to a computer program or used in manual procedures such as analyzing statistics from a survey. The term "raw data" can refer to the binary data on electronic storage devices, such as hard disk drives (also referred to as "low-level data"). (Wikipedia).
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Big Data
Data science describes the activities related to collecting, storing and creating value from data. Creating value from data means using it to do useful things, like making better decisions. By analyzing data we can detect patterns in it and understand the process that generated it. This i
From playlist Data Science Dictionary
Intro to Data Science: The Nature of Data
This lecture discusses the types of data you might encounter, and how it determines which techniques to use. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
Discrete Data and Continuous Data
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Discrete Data and Continuous Data
From playlist Statistics
Basic Excel Business Analytics #12: Raw Data, Data, Proper Data Sets and Data Terminology
Download files: https://people.highline.edu/mgirvin/AllClasses/348/348/AllFilesBI348Analytics.htm Learn about Raw Data, Data, Proper Data Sets and Data Terminology: 1) (00:17) Introduction 2) (00:36) What is Raw Data? 3) (01:33) What is Data? 4) (01:55) Data Types and Default Alignment in
From playlist Excel Business Analytics (Forecasting, Linear Programming, Simulation & more) Free Course at YouTube (75 Videos)
Statistics (video 1) - Statistics of Datasets
Recordings of the corresponding course on Coursera. If you are interested in exercises and/or a certificate, have a look here: https://www.coursera.org/learn/pca-machine-learning
From playlist Statistics of Datasets
Determine if the Given Value is from a Discrete or Continuous Data Set MyMathlab Statistics
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Determine if the Given Value is from a Discrete or Continuous Data Set MyMathlab Statistics
From playlist Statistics
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
Office 2016 Video #38: Introduction to Databases & Access
Highline College Busn 216 Class: Computer Applications taught by Michael Girvin. This video in the next video after Excel Basics #25. Download files: https://people.highline.edu/mgirvin/AllClasses/216v2016/Content/05Access/Access.htm Topics in this Video: 1. (00:01) Introduction 2. (00:39)
From playlist Office 2016 Class: Excel, Word, PowerPoint, Access, Windows Explorer, The Basics
Office 2013 Class #46: Introduction to Databases and Access 2013
Download files at: https://people.highline.edu/mgirvin/AllClasses/216_2003/216/busn216.htm This video goes with the Highline Community College Busn 216 Computer Applications Class Access 2010. Topics Covered In Video: 1. Basics of a what a database is (00:47 min) 2. Basics of Access and ho
From playlist Office 2013 Videos: WindowsExplorer, Word, PP, Excel, Access
Game Programming Patterns part 24.2 - (Rust, GGEZ) Pulling in Game Data
We refactor the game_data.json file so that it will work nicer with Rust and then pull it in using serde_json. Links code - https://github.com/brooks-builds/learning_game_design_patterns twitter - https://twitter.com/brooks_patton book - http://gameprogrammingpatterns.com -- Watch live
From playlist Game Programming Patterns Book
RAW Camera Image Processing Pipelines in MATLAB
Learn how to convert RAW camera files to RGB formats that can be easily displayed on viewing screens. This video shows both a one-step conversion function as well as breaks down the camera processing pipeline steps for customization. For reference: MATLAB® documentation on End-End Implem
From playlist AI, Machine Learning, Data Science | Developer Tech Showcase
Slaying Excel Dragons Book #3: Data Into Information: SUMIFS, PivotTable, Verifying Formulas & Data
Download files: https://people.highline.edu/mgirvin/ExcelIsFun.htm Learn Excel from beginning to end. Complete Lessons about Excel. This video series accompanies the published book, Slaying Excel Dragons, ISBN 9781615470006 Chapter 3: Data Vs. Information-- Pages 25 - 40 Topics: 1. Data Vs
From playlist Slaying Excel Dragon Videos: Comprehensive Excel 2010 Lessons. (53 Videos)
Office 2010 Class #41: Introduction to Databases and Access
Access Files: https://people.highline.edu/mgirvin/AllClasses/216_2010/Content/05Access/Access.htm This video goes with the Highline Community College Busn 216 Computer Applications Class Access 2010. Topics Covered In Video: 1. Basics of a what a database is 2. Basics of Access and ho
From playlist Office 2010 - Windows Explorer, Word, Excel, Access, PP
Data Science For Absolutely Everyone
A walk through the practice of data science for all audiences. No math, no programming, just plain English. PERMISSIONS: The original video was published on Brandon Rohrer YouTube channel with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: ht
From playlist Data Science
Office 2016 Video #39: Access 2016: Create Database, Tables & Relationships, Import Excel Table too
Highline College Busn 216 Class: Computer Applications taught by Michael Girvin. Download files: https://people.highline.edu/mgirvin/AllClasses/216v2016/Content/05Access/Access.htm Topics in this Video: 1. (00:01) Introduction 2. (01:56) Create New Database 3. (03:52) Save and Default Tabl
From playlist Office 2016 Class: Excel, Word, PowerPoint, Access, Windows Explorer, The Basics
[Rust Programming] Learning to make a Roguelike - Day 55
[Recorded on 10 January 2022] I've been playing Roguelikes for many years, and I've always thought about making one! Combine that with a desire to learn Rust, and we've got a match made in heaven. This session was recorded live from twitch on 10 January. I'm using the Roguelike Tutorial
From playlist [Rust Programming] Writing Roguelike using RLTK
How Can I Analyze Statistics Without Raw Data?
Can you do a statistical analysis if you do not have the raw data? In some cases, you can. We explore 5 suggestions for what to do when you have only descriptive statistics or counts. I will show you a formula for a t test, odds ratios, and more. Analyzing without raw data can be tricky, b
From playlist Diving Deeper into SPSS for Beginners - How to Use SPSS
Data Science Tutorial for Beginners - 1 | What is Data Science? | Data Analytics Tools | Edureka
( Data Science Training - https://www.edureka.co/data-science ) Data Science Blog Series: https://goo.gl/1CKTyN http://www.edureka.co/data-science Please write back to us at sales@edureka.co or call us at +91-8880862004 for more information. Data Science is all about extracting knowledge
From playlist Data Science Training Videos
Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation
Here is a step-by-step guide that shows you how to take the derivative of the Cross Entropy function for Neural Networks and then shows you how to use that derivative for Backpropagation. NOTE: This StatQuest assumes that you are already familiar with... The main ideas behind neural netwo
From playlist StatQuest