Data Discovery and Interpretation Vocabulary

Vocabulary flashcards generated from lecture notes covering data acquisition, processing, qualitative/quantitative analysis, and data visualization.

Data discovery

An AI-based process that helps extract meaningful information from images and patterns.

Data augmentation

An AI-based technique that uses existing data to create new data to improve machine learning models.

Data generation

Processing a large amount of data and simplifying it using computer software algorithms or sensors.

Primary data source

Original and reliable data collected directly from the original source for research purposes, such as through interviews, experiments, or surveys.

Secondary data source

Data collected by someone else for other purposes or from external sources, such as government websites, published journals, Kaggle, or Google.

Kaggle

A community of data scientists where users can access different types of data.

Data preprocessing

The process of making raw data into an organized format using structuring, cleaning, and accuracy to ensure quality and consistency remain the same.

Independent features

Features in AI models that help predict the outcome based on the input data given to the model.

Dependent features

Features in AI models that can be manipulated and help predict the outcome based on what is being predicted.

Data interpretation

The process of making sense out of processed data to explain and analyze what findings and conclusions mean in a given context.

Qualitative data interpretation

The analysis of non-numerical text data to gain insight into people's feelings, emotions, thoughts, experiences, and answers to how and why.

Nominal data

A type of qualitative data used in qualitative interpretation.

Ordinal data

A type of qualitative data that is easier to interpret than nominal data.

Record keeping

A qualitative data collection method that involves gathering qualitative data from an existing data source, similar to searching a library.

Case studies

A qualitative data collection method where data is collected using detailed case studies.

One-to-one interviews

A qualitative data collection method where information is gathered directly through individual interviews.

Focus groups

A qualitative data collection method where data is gathered from a group discussion on a relevant topic.

Quantitative data interpretation

A process for analyzing numerical data through statistical methods to answer questions like when, how many, and how often.

Poll

A quantitative survey method that asks simple questions to respondents.

Observations

A method of gathering quantitative data over a particular period of time.

Longitudinal surveys

A quantitative research study conducted over a long period of time.

Textual data interpretation

Data mentioned in the form of text, usually in paragraphs, which is not suitable for large amounts of data.

Tabular data interpretation

Data represented and stored in the form of rows and columns, where the title is in the description and information is in the columns.

Acquired data

Data collected from various data sources.

Data processing

The collection of raw data to derive meaningful information from it.

Data analysis

The step of examining each component of data to draw conclusions.

Data presentation

The step where ideas and evidence are selected, organized, and grouped in a logical way.

Data visualization

The process of converting numbers and long data sets into images like pie charts, bar graphs, and maps to make data easy to understand, save time, communicate ideas clearly, and aid better decision making.