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5 days ago · The right knowledge of data types enables precise metrics evaluation, sound conclusions, appropriate analysis, interpretation, and presentation. Use this guide to get insights into the different data types in statistics to help you utilise them better.
2 days ago · A dataset is a collection of data that contains data specific to its category and nothing else. This is used to develop Machine Learning models perform Data Analysis, Data and Feature Engineering. Datasets may be structured (Height, weight analysis) or unstructured (audio files, videos, images).
2 days ago · Step 3: Acquire and prepare the data. After identifying relevant datasets, the next step is acquiring the data and assessing what‘s needed to make it usable for your analysis. Public data comes in many formats (CSV, JSON, XML, etc.) and structures that may require cleanup before analysis.
5 days ago · Data Profiling can be defined as the method of evaluating the condition of the data to get an insight into its quality. This is done based on the data’s precision, comprehensiveness, uniformity, relevance, and availability. You can join the relevant Data Science Certification Courses to become a Data Profiling expert.
4 days ago · Unlabeled data: Definition: Data without any tags or labels. Usage: Mainly in unsupervised learning. Here, the algorithm discovers patterns without guidance. Challenge: The lack of labels can lead to less precise models, as the algorithm has to identify patterns without any prior information. Advantage: More abundant and accessible than labeled ...
4 days ago · Data is raw information, and analysis of data is the systematic process of interpreting and transforming that data into meaningful insights. In a data-driven world, analysis involves applying statistical, mathematical, or computational techniques to extract patterns, trends, and correlations from datasets.
1 day ago · The UN (United Nations) collects global data on the country-level Percentage of Population Residing in Urban Area (PPRUA). However, variations in urban definitions make these data incomparable across countries. This study assesses national defined PPRUA within UN statistics against estimates we derived using global comparable definitions. Refer to the UN's Degree of Urbanization framework, we ...
