A comprehensive report on global data career trends, analyzing salaries, popular programming languages, and industry challenges based on a survey of 630 professionals.
The R Programming For Data Science A-Z Complete Diploma 2022 (Udemy Programs)
A repository for materials related to the “Workshop on Quantitative Approach in Linguistics” (14-15 July 2025) as part of the International Congress of the Linguistic Society of Indonesia 2025 (16-18 July 2025).
A template for reproducible R analysis projects
Visualise avaocado sale across US by R Shiny
This is a simple R function that uses the `httr` library to translate text using the Google Translate API.
Application of the ETS model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahwalnagar District, Punjab, Pakistan.
Analysis of Food and Agriculture Data of Africa using Crop Processing Dataset and Crop Production Dataset.
Plotting Assignment 1 for Exploratory Data Analysis-- JHU Data Science Specialization
Used R to visualize and analyze poll data of US presidential elections in 2016 and 2020. Compared poll results for key states between those years.
Customer Behavior Analysis project utilizing the "Groceries Market Basket Dataset" from Kaggle. The project employs a data-driven approach to uncover customer purchasing patterns and relationships within the grocery market using K-means Clustering and Association Rules using Apriori-Algorithm. In collaboration with some friends.
implementation of momentum-based trading strategies
This guide explains how to perform a Two-Way ANOVA in R. Two-Way ANOVA is used to evaluate the influence of two different categorical independent variables on one continuous dependent variable. Additionally, it helps in understanding if there is an interaction between the two factors affecting the dependent variable.
Analysis of SuperStore sales data with visual insights into customer segmentation and product trends
Assignment for Programming For Data Analysis module (Degree Yr 2 Sem 1)
Bachelor's level report: How do working hours and income influence sleep, and what are the implications for health and productivity?
This is a ShinyApp, developed with R language that allows users to perform PCA on their datasets.
This case study is recommended for Google-data-analytics professional course.
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