Dive into the heart of NYC construction safety. Through thorough analysis of accident reports from the Department of Building database we will unravel the who, where, when, and why behind injuries and fatalities in the ultimate goal to inspire construction reform. Together, let's "Build a Safer Future" for workers and …

Data analysts must have a strong grasp of practical data visualization skills to paint a clear picture of complex data for a broader audience. Seeing the big picture by delivering coherent and easily comprehensible content is crucial. Companies highly value avant-garde data analysts who can not only dig into the …

Introduction: The goal of this study is to analyze the variables that contributed to YouTubers’ success in 2023, specifically their subscribers and earnings. Before identifying those variables, we have to establish the measure of success. Some questions I would like to have answered: Data: The dataset I used, Global YouTube …

Chess, one of most popular and well recognized board games in the world, has experienced a recent resurgence over the past few years. This revival has attracted many new players to chess, including myself. Even though the knowledge of strategy and tactics in chess is vast, openings stand out as …

We have previously written about the benefits of data visualization, including its advantages with content marketing. We felt we were overdue for another article on this topic, so we wanted to talk about a particular type of technology that can be beneficial – box plots. Data visualization techniques like the …

China has been among the world's largest polluters. Beijing, a manufacturing powerhouse, has long been infamous for its poor air quality and hazy skies. The post Beijing and its Air Quality first appeared on Data Science Blog.

Introduction Whether we like it or not, winning medals, especially gold medals, at the Olympic Games holds immense importance for every country, including the United States. A medal is a source of national pride that reflects strength and commands respect from others. I developed a user-friendly shiny app that allows …

Why use machine learning in real estate? The real estate market is a high-value market in which investors can incur substantial losses or attain significant gains. Both buyers and sellers rely on real estate experts to understand the factors that boost or diminish a home’s value and accurately estimate a …

Bubble tea originated in Taiwan and has become increasingly popular around the globe since the early 2000s. The market continues its rate of rapid growth to this day.. To gain insights into this market in the United states, this project scrapped Yelp.com's related business establishments in the top 10 populous …

What is rebalancing? CitiBike, the country's largest bikeshare program, provides an affordable and sustainable alternative to the subway and taxi services. With a network of more than 25,000 bikes distributed over 1500 stations throughout New York City and New Jersey, CitiBike's operations rely on its ability to meet shifts in …

Introduction Organizations are constantly seeking new ways of leveraging data to guide strategic decision-making and increase returns on investment (ROI). One of the areas of investment that benefits from a data-driven approach is real estate. To explore the impact data science can have on this form of investment, we partnered …

With visualization, real-time analytics, and interactive reporting, Business Intelligence solutions offer an improved user experience. You may be able to display pertinent data on a dashboard or generate charts, graphs, […] The post What Is Embedded Business Solutions and Comparing It With On Different Business Intelligence(BI)Tools appeared first on Datafloq.

There is no excerpt because this is a protected post. The post Protected: US Health Trends first appeared on Data Science Blog.

A Step-by-Step Tutorial on Topic Modeling, Summarization, Keyword Extraction and Sentiment Analysis Using Pre-trained classifiers on Yelp User Reviews Dataset

Machine learning’s rising importance and ubiquity carries with it promises of profitability and efficiency. Basic machine learning models have never been simpler to create. Python and R have easy-to-use libraries that handle all of the heavy machinery. The inner workings are inaccessible when abstracted away, leading to the term “black …

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Introduction Buying and investing in the real estate market is one of the biggest decisions people make To be certain that we're making a good real estate purchase, we need to know whether a house is priced fairly or even underpriced. For this project, I used the Kaggle dataset to …

Introduction Ever wonder why an Uber ride home from work costs you less than a Lyft for the same distance from the airport to your home? There are multiple factors involved in determining the price of a ride. Aside from demand and supply, time of day, and weather conditions can …