Week 12-13 Flashcards

1
Q

process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making.

A

Data analysis

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2
Q

Different types of Data in Research

A

• Quantitative Data
• Qualitative Data
• Mixed Methods Data

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3
Q

Methods of Data Analysis

A

• Descriptive Analysis
• Inferential Analysis
• Exploratory Analysis

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4
Q

Information expressed in numbers and measurable quantities. Examples include survey responses and experimental data.

A

Quantitative Data

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5
Q

Descriptive data that cannot be easily measured or expressed numerically. It involves observations, interviews, and focus groups.

A

Qualitative Data

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6
Q

A combination of quantitative and qualitative data to gain a comprehensive understanding of
the research topic.

A

Mixed Methods Data

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7
Q

Summarizing and describing the main characteristics of data, such as mean, median, and standard deviation.

A

Descriptive Analysis

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8
Q

Using statistical techniques to make predictions and generalizations about a larger population based on a sample of data.

A

Inferential Analysis

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9
Q

Identifying patterns, relationships, and trends to generate new hypotheses and insights.

A

Exploratory Analysis

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10
Q

Tools like R, Python, and Excel
provide powerful capabilities for
processing, analyzing, and
visualizing data.

A

Data Analysis Software

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11
Q

Graphical representation of data
using charts, maps, and graphs
to help gain insights and communicate findings effectively.

A

Data Visualization

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12
Q

Data Visualization Formats

A

• Bar Charts
• Pie/donut Chart
• Line Chart
• Bubble Chart
• Map
• Table

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13
Q

Compare numerical data and demonstrate growth

A

Bar Charts

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14
Q

Show how individual parts make up a whole

A

Pie/donut chart

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15
Q

Demonstrate change and progress

A

Line chart

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16
Q

Visualize relationships among numerical variables

A

Bubble chart

17
Q

Represent any data that has to do with geolocation

A

Map

18
Q

Compare data, show prices for services, create reports, etc

A

Table

19
Q

A form of visually displaying data
through various methods like
graphs, diagrams, charts, and plots.

A

Graphical Representation

20
Q

Ensuring the accuracy, completeness, and reliability of data by addressing missing values, outliers, and inconsistencies.

A

Data Quality

21
Q

Protecting sensitive information and
adhering to ethical guidelines in handling and sharing data.

A

Data Privacy

22
Q

a powerful tool that helps researchers explore and communicate their findings more
effectively. Through charts, graphs, and infographics, patterns and trends in the data become more accessible and understandable to a wider audience. It enhances the impact of research and facilitates decision-making processes.

A

Data visualization