22AI502 Data Exploration, Feature Engineering and Visualization
LTPC
2023
UNIT I
EXPLORATORY DATA ANALYSIS
6+6
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 -Descriptive
Statistics-types of kurtosis, quartiles, Grouping Datasets-data aggregation, group
wise transformation.
UNIT II
Feature Engineering
6+6
Text Data- Visual Data –Feature based Time-Series Analysis-Data StreamsFeature Selection and Evaluation.
UNIT III VISUALIZING DATA
6+6
The Seven Stages of Visualizing Data, Processing-load and displaying data –
functions, sketching and scripting, Mapping-Location, Data, two sided data
ranges, smooth interpolation of values over time Overview of time series
analysis-showing data as an area, drawing tabs, handling mouse input,
Connections And Correlations – Preprocessing- introducing regular expression,
sophisticated sorting, Scatterplot Maps- deployment issues.
UNIT V
TREES, HIERARCHIES, AND RECURSION
6+6
Treemaps - treemap library, directory structure, maintaining context, file item,
folder item, Networks and Graphs-approaching network problems-advanced
graph example, Acquiring data, Parsing data.
TOTAL: 30 +30 PERIODS
PRESCRIBED TEXT BOOKS & REFERENCE BOOKS
TEXT BOOKS:
1. Suresh Kumar Mukhiya and Usman Ahmed, “Hands-on Exploratory Data
Analysis with Python”, Packt publishing , March 2020.
2. Ben Fry, “Visualizing Data”, O’reilly publications, 2007
REFERENCES:
1. Danyel Fisher & Miriah Meyer, “Making Data Visual: A Practical Guide To
Using Visualization For Insight”, O’reilly publications, 2018.
2. Claus O. Wilke, ”Fundamentals of Data Visualization”, O’reilly publications,
2019.
3.EMC Education Services, “Data Science and Big data analytics: Discovering,
Analyzing, Visualizing and Presenting Data”, Wiley Publishers, 2015.
4. Tamara Munzner, “Visualization Analysis and Design”, A K Peters/CRC Press;
1st edition, 2014.
5. Matthew O. Ward, Georges Grinstein, Daniel Keim, “Interactive Data
Visualization: Foundations, Techniques, and Applications”, 2nd Edition, CRC
press, 2015.