AD3301 Data Exploration and Visualization Study Materials
Anna University – AD3301 Data Exploration and Visualization Regulation 2021 Syllabus, Notes, Important Questions, Question Paper with Answers, Previous Year Question Paper
UNIT I EXPLORATORY DATA ANALYSIS AD3301 Data Exploration and Visualization Syllabus
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 – Grouping Datasets – data aggregation – Pivot tables and cross-tabulations.
UNIT II VISUALIZING USING MATPLOTLIB AD3301 Data Exploration and Visualization Notes
Importing Matplotlib – Simple line plots – Simple scatter plots – visualizing errors – density and
contour plots – Histograms – legends – colors – subplots – text and annotation – customization –
three dimensional plotting – Geographic Data with Basemap – Visualization with Seaborn.
UNIT III UNIVARIATE ANALYSIS AD3301 Data Exploration and Visualization Important Questions
Introduction to Single variable: Distributions and Variables – Numerical Summaries of Level and
Spread – Scaling and Standardizing – Inequality – Smoothing Time Series.
UNIT IV BIVARIATE ANALYSIS AD3301 Data Exploration and Visualization Question Paper
Relationships between Two Variables – Percentage Tables – Analyzing Contingency Tables –
Handling Several Batches – Scatterplots and Resistant Lines – Transformations.
UNIT V MULTIVARIATE AND TIME SERIES ANALYSIS AD3301 Data Exploration and Visualization Question Bank
Introducing a Third Variable – Causal Explanations – Three-Variable Contingency Tables and
Beyond – Longitudinal Data – Fundamentals of TSA – Characteristics of time series data – Data
Cleaning – Time-based indexing – Visualizing – Grouping – Resampling.
| Syllabus | Click Here |
| Notes | Click Here |
| Important Questions | Click Here |
| Previous Year Question Paper | Click Here |
| Question Bank | Click Here |
TEXT BOOKS: AD3301 Data Exploration and Visualization Notes
1. Suresh Kumar Mukhiya, Usman Ahmed, “Hands-On Exploratory Data Analysis with Python”,
Packt Publishing, 2020. (Unit 1)
2. Jake Vander Plas, “Python Data Science Handbook: Essential Tools for Working with Data”,
Oreilly, 1st Edition, 2016. (Unit 2)
3. Catherine Marsh, Jane Elliott, “Exploring Data: An Introduction to Data Analysis for Social
Scientists”, Wiley Publications, 2nd Edition, 2008. (Unit 3,4,5)
REFERENCES: AD3301 Data Exploration and Visualization Important Questions
1. Eric Pimpler, Data Visualization and Exploration with R, GeoSpatial Training service, 2017.
2. Claus O. Wilke, “Fundamentals of Data Visualization”, O’reilly publications, 2019.
3. Matthew O. Ward, Georges Grinstein, Daniel Keim, “Interactive Data Visualization:
Foundations, Techniques, and Applications”, 2nd Edition, CRC press, 2015.
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