The World Weather Analysis repo utilizes Python and Jupyter Notebook in conjunction with decision and repetition statements, data structures, Pandas, Matplotlib, NumPy, CitiPy, and SciPy statistics to retrieve and use data from OpenWeatherMap and Google Map API. The APIs are used to "get" requests from a server, retrieve and store values from a …

Basic scatterplot visualising skills vs interests

This repo consists of the scripts and results files associated with the pythhon api challenge done as homework for the MSU Data Science Boot Camp

This script analyses the relationship between the Human Development Index (HDI), population, and non-religious groups in various countries. Plots visualise relationships between HDI, population, and non-religious groups and using scatterplots and a linear regression model to predict.

Implement advanced operations and data handling techniques on essential Python libraries to perform statistical descriptive analysis

Quick plots in Python as a visual support for the Curse of Dimensionality phenomenon.

The PyBer Analysis repo contains an analysis of ridesharing and city data using Python, NumPy, Matplotlib, and SciPy by creating line charts, bar charts, scatter plots, bubble charts, pie charts, and box-and-whisker plots. Using Pandas DataFrames and groupby, pivot, and resample functions, the data has been analyzed to determine total rides, tot…

Advanced analytics skills for geographic visualisation using Python and Tableau.

Elements of data visualization with Python 3

Advanced exploratory analysis in Python using supervised and unsupervised machine learning to understand the dimensions of global disaster risk.