Clips
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Collaborating with The Co-Laboratory for Data Impact, this data-driven article delves into the effects of climate change through annual temperature changes and sea level rises.
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The data used for this piece was obtained from reputable sources such as the Food and Agriculture Organization of the United Nations, the Climate Change Dashboard, and the National Centers for Environmental Information. The data was organized, analyzed and visualized using RStudio.
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To enhance the data-driven story, several professional climate journalists were interviewed. The discussions centered on the challenges faced by climate journalists and the tools available to support their work. Notable interviewees include climate journalists from ProPublica, Grist and The Boston Globe.
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HTML & CSS, D3.js, JavaScript, Scrollama.js, Flickity.js, RStudio, Flourish, Adobe Illustrator - ai2html, Storyline.js
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This is my capstone project for my M.S. in Media Innovation and Data Communication. With the goal of gaining insights into the intricate connection between crime rates and median household income, my project focuses on studying the city of Boston from 2015 to 2022. By examining this specific timeframe, I aim to uncover patterns and trends that shed light on the potential impact of socioeconomic factors on crime.
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To conduct this research, I acquired a comprehensive dataset from Analyze Boston, a platform that provides access to various data sets related to the city of Boston. This dataset includes detailed information on crime incidents as well as corresponding median household income figures. With this valuable resource, I embarked on an extensive analysis to identify correlations, uncover potential causal relationships, and generate meaningful insights.
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Employing advanced data analysis techniques and visualization tools, I delved deep into the dataset to extract relevant information and uncover underlying patterns. I employed statistical methods to examine the relationship between crime rates and median household income over the selected period. This involved aggregating and organizing the data, performing calculations, and generating visual representations such as charts, graphs, and maps.
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It is a data journalism piece presented in a scrollytelling format. It focuses on The Carlton Complex Fire, a massive wildfire that occurred in Washington state's Okanogan County in 2014. The article is divided into three chapters: Fire, Impact, and Response. It also provides a comprehensive narrative that includes personal accounts, insights, and detailed information from those who experienced the mega-wildfire ten years ago.
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The article features interviews with local residents Debbie and George Grable, as well as Vicki and Danny Yanarella. They share their first-hand experiences during the Carlton Complex Fire, reactions, and current thoughts and feelings about the event a decade later.
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This news story is coded using React and features a range of multimedia elements, including audio recordings and images, as well as JavaScript, to enhance the overall presentation. Readers can view the article on the provided Github page for a detailed look at the code.
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HTML & SCSS, React, React-Burger-Menu, D3.js, Flickity.js, RStudio, JavaScript, Scrollama.js, Adobe Audition
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HTML & CSS, D3.js, JavaScript, Scrollama.js, RStudio, Python, Flourish, Mapbox, OpenStreetMap, Adobe Illustrator - ai2html
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VoteChat is a virtual chatbot that provides first-time voters with information on fundamental voting rights and requirements while keeping up-to-date with changing laws.
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As part of the work, I designed the chatbot configuration and deployed a content maintenance workflow API for its server.
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I synthesized information on relevant state laws, registration deadlines, ID card requirements, mail-in voting, and early voting procedures.
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To make the information accessible to users, I translated legal terms into conversational language and formatted messages with an encouraging tone.
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GoogleSheet, UI Design, HTML & CSS, APIs, JavaScript, Botsify
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In this data article written for Vermont Public, I explore the correlation between median household income, wages, and the increase in homelessness across 14 counties in Vermont during 2021 and 2022.
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The data used in this article is sourced from Vermont Housing Data, including information on average household income, wages, and homelessness for 14 counties during the years 2021 and 2022.
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Using R and Python, I analyzed the dataset and visualized my findings with the ggplot package in R, D3, and JavaScript, building a comprehensive news story page.
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HTML & CSS, D3.js, JavaScript, Scrollama.js, Python, Flourish, Adobe Illustrator - ai2html, Juxtapose.js
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This is a data reporting piece on China's annual tea production and exports to various countries. The article covers the four major tea regions in mainland China, the volume of tea production from 2011 to 2021, and the profitability trends and forecasts for the tea market in mainland China from 2012 to 2025.
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The piece provides insights into China's tea industry, including the top exporting countries, the types of tea produced, and the major players in the market.
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The article also includes data visualizations, such as graphs and charts, to help readers better understand the trends and patterns in the tea industry.
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HTML & CSS, RStudio, Datawrapper, Adobe Illustrator - ai2html
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Paul Robinson was released from prison in June 2022 after serving 52 years, and he celebrated his first "free" birthday in December of the same year. While Paul's charges are pending, and he is not yet an exoneree, his story highlights the flaws and injustices in the criminal justice system.
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To share his story, my colleague and I interviewed Paul, and I used multimedia elements and coding to create a scrolltelling news piece. The piece was written for the New England Innocence Project, which works to exonerate wrongfully convicted individuals and advocate for criminal justice reform.
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HTML & CSS, Scrolltelling: Scrollama.js, Canon camera, Adobe Premiere Pro
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My colleagues and I collaborated on an investigative story examining the relationship between crime and Airbnb in Boston. The piece "Airbnb's Impact on Crime: Minimal, but Potential for Gentrification and Increased Property Values" explores how short-term rentals through Airbnb affect crime rates and housing prices in Boston neighborhoods.
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To conduct our research, we began with a study conducted by researchers at Northeastern University and obtained a trustworthy dataset from Analyze Boston. Using the 12 police districts as a reference, we identified and analyzed crime data in neighborhoods across the city.
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We visualized the data to tell a compelling, data-driven story about the effects of Airbnb on crime and housing in Boston. The piece aims to inform the public and encourage policymakers to consider the potential impacts of short-term rentals on local communities.
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GoogleSheet, RStudio, Datawrapper
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The news piece highlights the urgent need for teachers to receive training in students' mental health on par with their training in curriculum and instruction and classroom management. The piece calls for action from school districts and nonprofit organizations to address this critical issue.
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As part of the project, I led the data visualization and graphic design teams in collecting and analyzing the dataset. Our goal was to produce interactive visualizations, including charts and maps, to help illustrate the scope and impact of mental health challenges in schools.
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Our visualizations were designed to make complex data more accessible and engaging to the general public, policymakers, and educators. Our hope is that our work will help spark conversations and action toward improving mental health support for students in schools.