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Line plot like in Robinhood app in SwiftUI
Wisteria Dataviz Library
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
An app displaying surgical wait times in different health authorities of British Columbia
Business Analyst Portfolio
The objective of this work is to investigate factors affecting borrower rate and loan amount.
🔹 Visualize Key Insights From Data 🔹 Created multiple plots (bar, pie, histogram, scatter, heatmap, boxplot) using Pandas, NumPy, Matplotlib & Seaborn to analyze sales and profit trends. Delivered clear business insights through visual storytelling and exploratory analysis.
Notebooks used to solve exercises brought by professor Gabriela Uhrigshardt, who teaches Programming Techniques II at Let's Code Data Science 815
Exploratory Data Analysis and Visualization of Office Retailer Transactions using python libraries and Tableau visualizations.
Yet another java-script-based SVG plotting tool with interactive elements. With no external dependencies and 15kB min file-size its smaller than typical interactive plotting scripts.
Matplotlib notes and examples
Python EDA and Visualization Using , Matplotlib, Seaborn,Plotly and Bokeh. Map visualization using Folium
The fourth project from a Data Scientist with Python track by DataCamp
Data Visualization with Base R Graphics Package
Two-for-one - Building animated Line plots with GGplot + Obtaining indicators from INE Portugal
This Data set consists of information about an employee, There are attributes such as education level, experience level, age, salary, gender, department, degree, ratings, work ethics, current company working experience, job level, job role, attrition rate, employee id, employee satisfaction etc to take some serious important decisions for the company regarding the company.
EDA and Capacity planning of Bluebike, Boston.
Project on analyzing some 911 call data from kaggle
Movie Production Planning Dashboard
An intuitive, interactive data visualization platform for drawing food price insights and enhancing cross-sector collaboration to address worldwide food-related challenges.
This app illustrates an overview of happiness in countries around the world across 5 years.
A dashboard visualizing Covid-19 statistics at both global and country scales using JHU CSSE COVID-19 Data
Application to communicate insights about historical social/economic trends and create a better understanding of using and teaching statistics.
USA & Canada COVID-19 Vaccination Rollout Dashboard
Bikeshare dashboard with interactive maps, trend charts, and statistics
The "Crime in Vancouver" Dash application provides users with an interactive visualization of crime data in Vancouver, British Columbia. Users can explore geographical and temporal patterns of various types of crimes across different neighborhoods, streets, seasons, and years.
This project involves analyzing the relationship between Nvidia and AI technologies. The notebook covers data pre-processing steps, including importing necessary libraries and loading data. Further analysis and insights into Nvidia's impact on AI and related trends are provided.
A Python package for creating interactive visualizations and plots using Plotly. Nightingale simplifies the process of generating various types of plots, including scatter plots, line plots, and density plots, with customizable options for colours, sizes, and more.
Immigration to Canada from 1980 to 2013
Distribution of male and female genders in the world population 1960-2023
This dashboard is designed for helping record companies to make data driven decisions, so that they can provide valuable and actionable suggestions that can be used as guidance for artists aiming to enhance their music's appeal.
We see Organic traffic is down aftre Jan'21 but unlike Total traffic it did not touch the bottom line. There was a chance of improvement after march '21, and that's the Beauty of SEO even when no money left to run the paid campaign.
Data Science Foundations II | Portfolio Project. Data Visualization
Data Science Foundations II | Data Visualization Fundamentals with Python | Line Charts in Python