Data Analysis

Data Analysis is the process of inspecting, cleansing, transforming, and modeling Data with the goal of discovering useful information, informing conclusions, and supporting decision-making. It employs various techniques, often drawing from Statistics and computational methods, to unveil patterns and insights.

See also

Linked from: 538, A73, Average, Bca, Behavioral Analysis, Benfords Law, Bibliometrics, Classification, Clustering, Corpus Linguistics, Curve Fitting, Customer Relationship Management, Data Archiving, Data Cleaning, Data Collection, Data Curation, Data Lifecycle, Data Mining, Data Preprocessing, Data Quality, Data Reduction, Data Silo, Digital Signal Processing, Digital Simulation, Disease Modeling, Disease Monitoring, Disease Surveillance, Disk Forensics, Dummy Variable, E6e, Economic Data, Energy Signature, Feature Set, Fraud Detection, Gis, Health Informatics, Heat Map, Imputation, Interval Data, Lab Research, Latent Variable, Least Squares, Log Management, Market Analysis, Market Trends, Matlab, Missing Data, Multivariate Analysis, Noisy Measurements, Normalization, Number, Outlier, Outliers, Pca, Predictive Maintenance, Predictor Variables, Preprocessing, Principal Component Analysis, Principal Components, Product Analytics, Profiling, Psychographics, Quantitative Reasoning, Raw Data, Regression, Research Design, Research Methods, Research Skills, Scientific Computing, Scientific Data, Security Data, Segmentation, Signal Processing, Social Metrics, Sports Analytics, Statistical Data, Statistical Method, System Modeling, Text Data, Text Mining, Time Series, Usage Data, Visualization, Web Analytics, Webssim, Zipfx27s Law

0

•9 views

1 week ago