# Introduction to Data Analytics | Week 4

## Practice Quiz

1. What is one of the common measures of Central Tendency?

Mean

Variance

Classification

Regression

2. What technique is used to help identify the nature of the relationship between two variables?

Clustering

Regression

Classification

Anomaly Detection

3. What Python libraries are commonly used for data mining?

Tm

NumPy

Pandas

1. What is a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of numerical or quantitative data?

Calculus

Pie

Algebra

Statistics

2. Data Mining is defined as the process of:

Preparing raw data for analysis

Filtering data based on pre-defined criteria

Extracting knowledge from data

Identifying errors in data

3. What type of data mining operations was R specifically built to handle?

Calculating mean, median, and mode

Sorting

Filtering

Classification of data

4. When you’re calculating the middle value of a data field in a data set, what are you really calculating?

Median

Mode

Average

Mean

5. What is the general tendency of a set of data to change over time called?

Trend

Variation

Anomaly

Pattern

## Practice Quiz

1. Data visualizations such as graphs and charts are a great way to bring data to life.

True

False

2. You can use dashboards to present operational data such as daily progress data, as well as analytical data, such as the overall health of a business function.

True

False

3. What spreadsheet software is preferred when multiple users need to collaborate?

Microsoft Excel

R-Studio

Tableau

1. “A presentation is not a data dump”. What is the one thing you would do to ensure your presentation is not a data dump?

Not use visuals in the presentation

Not include facts and figures in the presentation

Include only that information as is needed to address the business problem

Deliver the findings in a single slide

2.  What is the discipline of communicating information through the use of visual elements?

Data profiling

Data type conversion

Data visualization

Data regression

3. Matplotlib is a widely used Python data visualization library.

True

False

4. What is the goal of Data Visualization?

Establish trust in the audience

Make information easy to comprehend, interpret, and retain

Make collaboration easy

Make the presentation look attractive

Share the detailed documentation of every aspect of your project so they can verify all details

Hand them copies of the data sets you have used for analysis

Share your data sources, hypotheses, and validations

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