Data VS Information: PDF

Data VS Information Structured VS Unstructured VS Semi- structured data Data VS Information Data VS Information Data: Temperature readings: A set of numbers representing temperatures recorded at different times. Stock prices: Daily closing prices of various stocks in a financi...

Data VS Information Structured VS Unstructured VS Semi- structured data Data VS Information Data VS Information Data: Temperature readings: A set of numbers representing temperatures recorded at different times. Stock prices: Daily closing prices of various stocks in a financial market. Survey responses: Raw data collected from respondents without analysis. Information: Weather forecast: Predictions based on temperature data, humidity levels, and atmospheric pressure. Financial reports: Analysis of stock prices, trends, and market movements, providing insights for investors. Analysis reports: Interpretation of survey responses, identifying trends or patterns to make informed decisions. Supermarket Data: 1. Number of Items on Shelves: Counting how many products are on each shelf. 2. Prices of Products: Knowing the cost of individual items without any additional context. Information: 1. Shopping List: Understanding which items to buy, their quantities, and where to find them in the store. 2. Nutritional Labels: Learning about the ingredients, calorie content, and serving sizes of products to make healthy choices. 3. Receipt: Summarizes purchases of products with total prices In this scenario, data represents the basic facts or figures, such as the number of items or their prices, while information is the processed data that helps shoppers make decisions, such as following a shopping list or understanding nutritional information. Videos Data: 1. Frames in a Video: Counting the individual pictures (frames) that make up a video. 2. Colors in a Video: Identifying the different colors present in each frame of a video. Information: 1. Movie Plot: Understanding the storyline, characters, and events depicted in a movie. 2. Learning from Educational Videos: Gaining knowledge about animals, plants, or historical events from educational videos. Structured Data In this example, the structured data is presented in a tabular format where each row represents information about an employee. The columns represent different attributes of the employees such as "Name", "Age", and "Department". This tabular format makes it easy to read and understand the data. Unstructured Data In this example, the data is presented in a more free-form manner without any specific structure. Each piece of information about an employee is provided as a text string, and there's no consistent format or delimiter separating different attributes. This makes it less organized and harder to process compared to structured data. Semi-structured Data In this example, the data has some structure, with each employee's information enclosed within tags. However, within each employee's section, the data is still somewhat free-form, with each attribute represented as a separate tag (e.g., , , ). This format provides some organization compared to unstructured data but is not as rigidly structured as fully structured data.