The data set contains data about city fuel cycle consumption of vehicles. This report demonstartes data cleaning and preparation techniques using SAS to prepare it for statistical analysis. It uses arrays, concatenation, data type converison, outlier removal and standardization. The dataset is downloaded from https://archive.ics.uci.edu/ml/datas…

Data Analysis Project using Python(Numpy, Pandas, Seaborn, matplotlib)

This repository contains a comprehensive SQL project developed as part of CFG's SQL course powered by Deloitte. It spans foundational to advanced SQL techniques, including database creation, data manipulation, complex queries, and data management. It also includes projects on cricket data analysis and financial analysis using SQL and Tableau.

FlexiDecodable is a Swift library that simplifies decoding JSON data with type coercion and fallback support. It handles inconsistent data structures by automatically converting fields to the expected types

Converting integer and floating numbers to appropriate bit-level representation.

This project utilizes Python for data preprocessing and analysis, along with Power BI for creating an interactive dashboard, to analyze trends and insights within the movie industry. The project encompasses data collection, cleaning, exploration, visualization, and interpretation to provide valuable insights into various aspects of the industry.

A Fitness Company wants to know the customer behavior towards the threadmill and want recommendations to increase its profits.