Normalizing a dataset - Study guides, Class notes & Summaries

D467 WGU Exploring Data Questions and Answers Graded A+ What are some common techniques used in data exploration? Common techniques include summary statistics, data visualization, and identifying data distributions. How does data visualization aid in exploring data? Data visualization helps to present complex information in a visual format, making it easier to identify trends, outliers, and relationships. What does it mean to have a representative sample in data analysis? A r...

BSAN 160 Exam Review Questions and Answers Which of the below is a method to deal with filling out the missing values in data? data cleaning data reduction data smoothing data imputation - Answer-data imputations Which of the below statement(s) is/are correct? A: An important data transformation subtask is to select the relevant data using domain expert input, i.e., decide which sources and data to collect. B: When merging two data source tables A and B, using the full outer join meth...

If you want your data to automatically refresh as you interact with visualizations, which option should you choose? A) Import B) DirectQuery B) DirectQuery Explanation: When you use DirectQuery, no data is imported into Power BI Desktop. As you create or interact with a visualization, PowerBI Desktop queries the underlying data source, i.e. you're always viewing current data. How do you connect to Excel files that contain target figures? The solution should involve minimum manual w...

real-world data can be: - correct answers misaligned, complex, and inaccurate -- because of this, analysts spend a lot of time being data janitors what is noise in data? - correct answers missing values and outliers/extreme values what are the four steps in the scientific approach to systematic preprocessing phases - correct answers 1. data consolidation 2. data cleaning 3. data transformation 4. data reduction what is the art of data processing? - correct answers preprocessing exper...

GEORGIA Tech, ISYE Full course, Graded A+, 2022 update Document Content and Description Below Week 1 Why Analytics? 6 Data Vocabulary 7 Classification 8 Support Vector Machines 11 Scaling and Standardization 13 k-Nearest Neighbor (KNN) 13 Week 2 Model Validation 16 Validation and Test Sets 17 Splitting the Data 18 Cross-Validation 20 Clustering 21 Supervised vs. Unsupervised Learning 22 Week 3 Data Preparation 25 Introduction to Outliers 25 Change Detection 27 Week 4 Time Series Data 31 AutoRe...

 Normalizing a dataset  Creating an E-R Diagram  Writing CREATE TABLE statements - establishing primary and foreign keys  Establishing relationships between entities with the FOREIGN KEY REFERENCE statement  INSERTING data into tables (including multi-row INSERT statements)  Using the CONCAT function  Using aliases for table names LAB 3 - CREATE MYSQL CONNECTION You are required to take the following steps to accomplish the task: 1. On the MySQL Workbench Home windo...

WGU C170 DATABASE MANAGEMENT APPLICATIONS LABS • Normalizing a dataset • Creating an E-R Diagram • Writing CREATE TABLE statements - establishing primary and foreign keys • Establishing relationships between entities with the FOREIGN KEY REFERENCE statement • INSERTING data into tables (including multi-row INSERT statements) • Using the CONCAT function • Using aliases for table names LAB 3 - CREATE MYSQL CONNECTION You are required to take the following steps to accomplis...

 Normalizing a dataset  Creating an E-R Diagram  Writing CREATE TABLE statements - establishing primary and foreign keys  Establishing relationships between entities with the FOREIGN KEY REFERENCE statement  INSERTING data into tables (including multi-row INSERT statements)  Using the CONCAT function  Using aliases for table names LAB 3 - CREATE MYSQL CONNECTION You are required to take the following steps to accomplish the task: 1. On the MySQL Workbench Home windo...

T or F:Decision support system are computer-based support systems that integrate individuals' expertise and computer capabilities, and they have precise definitions agreed to by practitioners. - ANS-False Business Intelligence (BI) - ANS-is an umbrella term that combines architectures, databases, analytical tools, applications, and methodologies T or F: Data is a collection of observations, experiments, and experiences that do not necessarily represent absolute facts that are universally ...

Which one of the following statements about the search command is true? It behaves exactly like search strings before the first pipe. Which of the following actions can the eval command perform? Create or replace an existing field. When can a pipe follow a macro? A pipe may always follow a macro. Data models are composed of one or more of which of the following datasets? Events datasets Search datasets Transaction datasets When using the Field Extractor (FX), which of the following del...