Study Note/Data Analysis14 Data preprocessing Data preprocessing refers to the process of cleaning, transforming, and preparing data before it is analyzed. This process involves improving the quality of the data and transforming it into a suitable format for analysis, thereby enhancing the performance of analytical models. The main tasks involved in data preprocessing include:1. Data Cleaning: This involves removing noise from the data, suc.. 2024. 5. 10. What is Data Analyst? What is Data Analyst?A data analyst is a professional who primarily collects and analyzes data to derive useful information and insights.They typically perform the following tasks:1. Data Collection: They gather data from various sources and store it in databases or data warehouses.2. Data Preprocessing: They refine and standardize collected data to prepare it for analysis, including data cleani.. 2024. 5. 9. Mece logic tree MECE(Logical) stands for 'Mutually Exclusive, Collectively Exhaustive,' representing a principle of clear and systematic categorization in problem-solving and analysis. It is a guiding principle widely applied in various fields, particularly in management consulting and data analysis.MECE Logit Tree is a methodology used in predictive or classification modeling, where data is analyzed and specif.. 2024. 4. 29. AARRR Funnel Analysis AARRR is a model used in digital marketing and product management to analyze and optimize the customer lifecycle. The AARRR model, shaped like a funnel narrowing downwards, aims to reduce customer running out rates as you move down the funnel. AARRR stands for:Acquisition: This stage focuses on acquiring new users or customers. It involves activities such as driving traffic.. 2024. 4. 24. Qualitative Data vs Quantitatived Data Qualitative Data: - Qualitative data describes characteristics, qualities, or features non-numerically. - It is subjective and can be nominal or ordinal. - It is often expressed through text, images, or audio. - Examples include product colors, customer genders, satisfaction ratings, etc. - Qualitative data analysis often requires subjective interpretation and may involve .. 2024. 4. 24. Sampling Bias and Sample Error Sampling BiasSampling bias occurs when the process of selecting a sample from a population results in some members of the population being more likely to be included in the sample than others. This can lead to an inaccurate or misleading representation of the population, as certain groups may be overrepresented or underrepresented in the sample. It can arise from various factors such as non-rand.. 2024. 4. 24. 이전 1 2 3 다음
