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Multivariate analysis of the Titanic dataset, including descriptive statistics, exploration of demographic and socioeconomic variables, data standardization, clustering methods (k-means and hierarchical), and visualizations. The repository provides R scripts for interpreting passenger profiles.
is project undertaken to fulfil the internship requirement as Data Science Intern at Institute of Data Engineering, Analytics and Science Foundation - Technology Innovation Hub, Indian Statistical Institute
MFTE (Multi Feature Tagger of English) Python is the Python version based on Le Foll's MFTE written in Perl. It is extended to include semantic tags from Biber (2006) and Biber et al. (1999), including other specific tags.
This project has two parts that demonstrate the importance and value of data visualization techniques in the data analysis process: Exploratory and Explanatory Data Visualization.
This project is conducted as a part of Udacity Data Analyst Nanodegree. The purpose of this project is to perform exploratory data analysis, then create a presentation with explanatory charts that conveys findings and insights from the data set provided.