What Is Data Literacy?

## What Is Data? Data is broadly classified into structured data and unstructured data. * Structured data: Data organized according to set rules, using text or numbers * Unstructured data: Data that is not structured and has not been organized ## What Is Data Literacy? * It refers to the ability to understand, read, and use data. In other words, data literacy can be understood as a question of the capabilities of people who work with data. ## What Should We Do to Read and Use Data? * Data is merely raw material. We should be able to identify business questions through data. To do so, we need to know which core capabilities are essential for understanding the meaning of data. ## Key Questions for Developing Data Literacy 1. Identify the steps for understanding and **defining** a problem — When faced with a problem, how should you begin in order to answer it? 2. Identify the steps for making a **plan** — What will you measure, and how? How will you design the study? How will you collect the data? 3. Identify the steps for **understanding** data — **How will you manage and process the collected data?** 4. Identify the steps for **analyzing** data — **What insights will you derive from the data?** How will you analyze it? 5. Identify the steps for making **sound decisions** — How can you interpret the data, draw conclusions, and **make decisions effectively**? ## What Is Data Planning Literacy? * You need to define the problem you want to solve through data analysis. * **You need to understand model development and the algorithms that can be applied.** ## What Is Data Collection Literacy? Types and methods of data collection * Collected data is divided into Primary Data (firsthand data) and Secondary Data (secondhand data). * **You need to know how to use data collection methods and tools appropriately.** Primary Data Secondary Data 자료 수집 방법 설문조사/실험관찰 DB추출/크롤링 자료 수집 도구 구글 설문지 등 프로그래밍 랭귀지 등 Tagging and labeling collected data * For computers to process data meaningfully, the data must be collected in a form they can understand. * What is a tag? It is a label attached to data to make it easier to find when classifying and organizing it. This process is called tagging. * What is a label? It is a mark that a person attaches directly to unstructured data that artificial intelligence cannot recognize, so that it can be recognized and used for learning. This process is called labeling. * **Data collected through tagging and labeling must be managed so that it can be used appropriately.** ## Data Management Literacy * Data management consists of files and databases. * A file refers to a single piece or individual item of data that has no connected structure. * A database is a system designed to effectively manage a set of individual files like those described above. * **You need to prevent data loss, understand the conceptual, logical, and physical design stages of data, and be able to manage databases.** ## Data Processing Literacy * You need to be able to remove errors and interfering elements from raw data so that it can be analyzed. * When new data formed from a data source is entered periodically, you need to be able to modify it into a form suitable for analysis. * You need to be able to combine multiple data sets into one by extracting, filtering, and adjusting data from sets in different formats. ## Data Analysis Literacy * You need to be able to flexibly process, aggregate, and summarize organized data from various perspectives suited to the purpose of the analysis, in order to identify the characteristics of the sample data. * You need to be able to interpret quantitatively and qualitatively analyzed results and present them in a persuasive report. ## Data Visualization Literacy * What is data visualization? It is the process of representing data in pictures or graphic formats, so that people making decisions can understand concepts and identify new patterns based on visually presented analytical information. * To develop data visualization literacy, you need to understand the intended audience for visually presented reports. * In other words, you need to consider personal characteristics such as age group, cultural background, and level of education. * You need to determine how much the audience understands the domain of the relevant field.

What Is Data Literacy?

What Is Data?#

What Is Data Literacy?#

What Should We Do to Read and Use Data?#

Key Questions for Developing Data Literacy#

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What Is Data Planning Literacy?#

What Is Data Collection Literacy?#

Data Management Literacy#

Data Processing Literacy#

Data Analysis Literacy#

Data Visualization Literacy#