{"product_id":"9789355859907","title":"Exploratory Data Analysis  for BE Anna University R21CBCS (V,VI,VII,VIII(Vertical I - CSE \/ IT \/ CS\u0026BS - CCS346))","description":"\u003cp\u003eSyllabus Exploratory Data Analysis - [CCS346] UNIT I\tEXPLORATORY DATA ANALYSIS EDA fundamentals - Understanding data science - Significance of EDA - Making sense of data - Comparing EDA with classical and Bayesian analysis - Software tools for EDA - Visual Aids for EDA- Data transformation techniques-merging database, reshaping and pivoting, Transformation techniques. (Chapter - 1) UNIT II \tEDA USING PYTHON  Data Manipulation using Pandas - Pandas Objects - Data Indexing and Selection - Operating on Data - Handling Missing Data - Hierarchical Indexing - Combining datasets - Concat, Append, Merge and Join - Aggregation and grouping - Pivot Tables - Vectorized String Operations. (Chapter - 2) UNIT III \tUNIVARIATE ANALYSIS Introduction to Single variable : Distribution Variables - Numerical Summaries of Level and Spread - Scaling and Standardizing - Inequality. (Chapter - 3) UNIT IV \tBIVARIATE ANALYSIS Relationships between Two Variables - Percentage Tables - Analysing Contingency Tables - Handling Several Batches - Scatterplots and Resistant Lines. (Chapter - 4) UNIT V\tMULTIVARIATE AND TIME SERIES ANALYSIS Introducing a Third Variable - Causal Explanations - Three-Variable Contingency Tables and Beyond - Fundamentals of TSA - Characteristics of time series data - Data Cleaning - Time-based indexing - Visualizing - Grouping - Resampling. (Chapter - 5)\u003c\/p\u003e","brand":"Technical Publications","offers":[{"title":"Default Title","offer_id":47489122337060,"sku":"9789355859907","price":272.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0671\/3661\/8788\/files\/9789355859907_1.jpg?v=1699011866","url":"https:\/\/bookstation.in\/mr\/products\/9789355859907","provider":"BookStation","version":"1.0","type":"link"}