All 311 Service Requests from 2010 to present. This information is automatically updated daily.

Click here to download data from 2011 - https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2011/fpz8-jqf4

Click here to download data from 2012 - https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2012/as38-8eb5

Click here to download data from 2013 - https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2013/hybb-af8n

Click here to download data from 2014 - https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2014/vtzg-7562

Click here to download data from 2015 - https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2015/57g5-etyj

The District of Columbia offers several interactive online visualizations highlighting data and information from various fields of interest such as crime statistics, public school profiles, detailed property information and more. The web visualizations in this group present data coming from agencies across the Government of the District of Columbia. Click each to read a brief introduction and to access the site. This app is embedded in https://opendata.dc.gov/pages/dashboards.

In recent years, data visualization has been gaining space in journalism, not only in the specialized press, but also in the general press. The objective of this article is to analyze whether there are differences between the impact of receiving a traditional news item and that of a news item with data visualization, in terms of interest, comprehension and attitudes toward data visualization. For this, a study (N = 700) was carried out with two experimental conditions (traditional news vs. news with data visualization), using scientific and health communication news. Moderated mediation analysis were performed to understand how data visualization affects factors such as attitude, or interest, and affects public comprehension. The results showed significant indirect effects that indicate that reading a data visualization news item increases comprehension and, with it, positive attitudes toward data visualization. Variables related to comprehension and interest have been found to have a significant impact on attitudes toward data viewing, opening new lines of research to delve into the factors that affect data-driven news performance.

This spreadsheet contains a collection of over 230 data visualisations about public finances from media organisations, journalists, civil society organisations, advocacy groups, civic hackers, companies and public institutions. In order to build the collection I started with a collection of projects derived from another study mapping “open budget data” on digital media (Gray, 2015). Over 65% of the 120 fiscal data projects identified through the study used visualisations to present information about public finances. Examples were also incorporated from other lists, including relevant items from a database of 466 projects from The Guardian and the New York Times from between 2000 and 2015 (Rooze, 2015), as well as from expert data visualisation blogs such as Infosthetics and Visual Complexity. Further examples were solicited from expert mailing lists, forums and targeted outreach via email and social media. Analyses of the data visualisations are forthcoming in several publications. The collection will continue to be updated periodically. If you have suggestions for projects to add, please get in touch: http://jonathangray.org/contact/

References Gray, J. (2015) "Open Budget Data: Mapping the Landscape". Available at: http://dx.doi.org/10.2139/ssrn.2654878Rooze, M. (2015) "News Graphics Collection". Available at: http://collection.marijerooze.nl/

The Data Visualization Workshop II: Data Wrangling was a web-based event held on October 18, 2017. This workshop report summarizes the individual perspectives of a group of visualization experts from the public, private, and academic sectors who met online to discuss how to improve the creation and use of high-quality visualizations. The specific focus of this workshop was on the complexities of "data wrangling". Data wrangling includes finding the appropriate data sources that are both accessible and usable and then shaping and combining that data to facilitate the most accurate and meaningful analysis possible. The workshop was organized as a 3-hour web event and moderated by the members of the Human Computer Interaction and Information Management Task Force of the Networking and Information Technology Research and Development Program's Big Data Interagency Working Group. Report prepared by the Human Computer Interaction And Information Management Task Force, Big Data Interagency Working Group, Networking & Information Technology Research & Development Subcommittee, Committee On Technology Of The National Science & Technology Council...

The Government Open Data Management Platform market is experiencing robust growth, projected to reach $163.29 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 9.73% from 2025 to 2033. This expansion is fueled by increasing government initiatives promoting transparency and citizen engagement through open data, coupled with the rising need for efficient data management and analysis to support evidence-based policymaking. Governments worldwide are recognizing the value of open data in improving public services, fostering economic development, and enhancing citizen trust. The market is segmented by end-users, encompassing large enterprises and SMEs, reflecting the diverse needs and technological capabilities across different government bodies. Leading companies like Microsoft, Oracle, and Esri are actively shaping the market landscape through innovative platform offerings and strategic partnerships, while smaller, specialized firms cater to niche requirements. The North American market currently holds a significant share, driven by early adoption and advanced technological infrastructure, but regions like Asia-Pacific are showing considerable potential for future growth, spurred by rapid digital transformation and increasing government investment in data infrastructure. Market restraints include challenges in data standardization, security concerns, and the need for skilled professionals to manage and analyze complex datasets. However, ongoing technological advancements in areas such as AI and machine learning, coupled with increasing government funding for digital transformation, are expected to mitigate these challenges and drive further market expansion. The competitive landscape is characterized by a blend of established technology giants and specialized open data platform providers. Strategies for success include offering scalable and secure platforms, providing robust data visualization and analytics capabilities, ensuring ease of data integration with existing government systems, and providing strong customer support and training. Industry risks include the evolving regulatory landscape surrounding data privacy and security, competition from open-source alternatives, and the potential for integration challenges with legacy systems. The historical period (2019-2024) likely showed a growth trajectory setting the stage for the robust forecast period (2025-2033). Future market evolution hinges on successful navigation of these challenges and the sustained commitment of governments to open data initiatives.

Storytelling with Data is organized into 2 main parts. Part I comprises four modules, and is collectively aimed at introducing students to the process of creating "data stories" using Python data science tools: Module 1: What makes a good story? Module 2: Visualizing data Module 3: Python and Jupyter notebooks as a medium for data storytelling Module 4: Data science tools Part II is project-based, and revolves around mini data science projects. For each project, one or more students choose a question and dataset to explore and turn into a data story. Each week students and groups will report on their progress with the latest iterations of their stories. Students should aim to participate in three or more projects during Part II of the course. At students' discretion, those three (or more) projects may comprise the same questions and/or datasets (e.g., whereby each story builds on the previous story), or multiple questions and/or datasets that may or may not be related. In addition, students are encouraged to build off of each others' code, projects, and questions. Projects and project groups should form organically and should remain flexible to facilitate changing goals and interests.

Overview

This dataset encompasses over 500 user comments collected from high-performing posts on NASA's Facebook page dedicated to climate change (https://web.facebook.com/NASAClimateChange/). The comments, gathered from various posts between 2020 and 2023, offer a diverse range of public opinions and sentiments about climate change and NASA's related activities.

Data Science Applications

Despite not being a large dataset, it offers valuable opportunities for analysis and Natural Language Processing (NLP). Potential applications include:

• Sentiment Analysis: Gauge public opinion on climate change and NASA's communication strategies.
• Trend Analysis: Identify shifts in public sentiment over the specified period.
• Engagement Analysis: Understand the correlation between the content of a post and user engagement.
• Topic Modeling: Discover prevalent themes in public discourse about climate change.

Column Descriptors

1. Date: The date and time when the comment was posted.
2. LikesCount: The number of likes each comment received.
3. ProfileName: The anonymized name of the user who posted the comment.
4. CommentsCount: The number of responses each comment received.
5. Text: The actual text content of the comment.

Ethical Considerations and Data Privacy

All profile names in this dataset have been hashed using SHA-256 to ensure privacy while maintaining data usability. This approach aligns with ethical data mining practices, ensuring that individual privacy is respected without compromising the dataset's analytical value.

Acknowledgements

We extend our gratitude to NASA and their Facebook platform for facilitating open discussions on climate change. Their commitment to fostering public engagement and awareness on this critical global issue is deeply appreciated.

Note to Data Scientists

As data scientists analyzing this dataset, it is crucial to approach the data impartially. Climate change is a subject with diverse viewpoints, and it is important to handle the data and any derived insights in a manner that respects these different perspectives.

Image Credits

The dataset's thumbnail was generated by Dall-E 3.

In recent years, data visualization has been gaining space in journalism, not only in the specialized press, but also in the general press. The objective of this article is to analyze whether there are differences between the impact of receiving a traditional news item and that of a news item with data visualization, in terms of interest, comprehension and attitudes toward data visualization. For this, a study (N = 700) was carried out with two experimental conditions (traditional news vs. news with data visualization), using scientific and health communication news. Moderated mediation analysis were performed to understand how data visualization affects factors such as attitude, or interest, and affects public comprehension. The results showed significant indirect effects that indicate that reading a data visualization news item increases comprehension and, with it, positive attitudes toward data visualization. Variables related to comprehension and interest have been found to have a significant impact on attitudes toward data viewing, opening new lines of research to delve into the factors that affect data-driven news performance.

Interactive data map of COVID-19 cases around the world. Shows number of total cases and deaths by country over time, starting from December 31, 2019 to present time.

Presentation Date: Friday, December 2, 2022 Location: Barcelona, Spain Abstract: An introduction to data visualization concepts, using key concepts from the "10 Questions to Ask when Creating a Visualization" (10QViz.org) website. Presented at "Data Viz for Society." Featured software includes glue (see glueviz.org and gluesolutions.io). Files included are Keynote slides (in .key and .pdf formats)

The Government Open Data Management (ODM) Platform market is experiencing robust growth, driven by increasing government initiatives promoting transparency, accountability, and citizen engagement. The market's expansion is fueled by the rising need for efficient data management, analysis, and dissemination across various sectors like healthcare, transportation, and public safety. Cloud-based solutions are gaining significant traction due to their scalability, cost-effectiveness, and accessibility. The integration of advanced analytics and AI capabilities within ODM platforms is further enhancing their value proposition, enabling governments to derive actionable insights from open data for better policy-making and improved public services. While North America currently holds a significant market share due to early adoption and established technology infrastructure, regions like Asia Pacific are witnessing rapid growth driven by increasing digitalization and government investments in open data initiatives. The market is segmented by application (IT & Cybersecurity, Aerospace & Defense, Healthcare & Pharmaceuticals, Energy & Utilities, Logistics & Transportation, and Others) and by type (Cloud-Based and On-Premises). Competition is relatively high, with established players like Socrata and CKAN facing competition from emerging solution providers offering innovative functionalities. However, data security and privacy concerns, along with the complexities of data integration and standardization, pose challenges to market growth. The forecast period (2025-2033) anticipates sustained growth, particularly in developing economies where the potential for utilizing open data for societal improvement is immense. Factors like increasing cybersecurity threats and the need for robust data governance frameworks will shape the market landscape. The increasing adoption of open data standards and interoperability solutions will be crucial for driving wider adoption and maximizing the benefits of government open data initiatives. Specific application segments, such as healthcare and transportation, are poised for significant growth due to the potential for improved public health outcomes and optimized transportation management through data-driven insights. Strategic partnerships between government agencies and technology providers will be critical in accelerating market penetration and ensuring the successful implementation of ODM platforms. A conservative estimation of CAGR (considering a global market size around $2 billion in 2025) suggests an impressive expansion over the forecast period.

Data Visualization Market Outlook

As per our latest research, the global data visualization market size reached USD 12.8 billion in 2024, reflecting robust adoption across diverse industries. The market is projected to expand at a strong CAGR of 10.4% from 2025 to 2033, reaching an estimated USD 31.2 billion by 2033. This remarkable growth is primarily driven by the increasing need for actionable insights from big data, the proliferation of advanced analytics tools, and the growing emphasis on real-time decision-making within enterprises worldwide.

One of the primary growth factors propelling the data visualization market is the exponential increase in data generation across all sectors. Organizations are now inundated with structured and unstructured data from multiple sources such as IoT devices, social media platforms, enterprise applications, and transactional systems. The sheer volume and complexity of this data make traditional reporting tools inadequate for deriving meaningful insights. As a result, businesses are turning to advanced data visualization solutions that enable them to quickly interpret complex datasets, identify trends, and make informed decisions. The integration of artificial intelligence and machine learning into visualization platforms further enhances their capability to deliver predictive analytics and automated insights, which is fueling market expansion.

Another significant driver is the growing adoption of business intelligence (BI) and analytics platforms across organizations of all sizes. Companies are increasingly recognizing the value of data-driven decision-making, which has led to the widespread implementation of BI tools that rely heavily on effective data visualization. These platforms not only facilitate the exploration of large datasets but also enable users to create interactive dashboards and reports that can be easily shared across departments. The democratization of data analytics, where non-technical users can generate their own visualizations without relying on IT teams, has further accelerated market growth. Additionally, the shift towards cloud-based deployment models is making these solutions more accessible and cost-effective for small and medium enterprises (SMEs), broadening the market’s reach.

The rapid digital transformation initiatives undertaken by enterprises, particularly in emerging economies, are also contributing to the robust growth of the data visualization market. Digitalization efforts have led to the modernization of legacy IT infrastructure, the adoption of cloud computing, and the implementation of advanced analytics solutions. Governments and regulatory bodies are also encouraging the use of data analytics for transparency and efficiency, especially in sectors such as healthcare, public services, and finance. The increasing focus on customer experience, operational efficiency, and competitive differentiation is compelling organizations to invest in visualization tools that provide real-time insights and facilitate agile business processes. These factors collectively underpin the sustained growth trajectory of the global data visualization market.

From a regional perspective, North America continues to dominate the data visualization market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The region’s leadership is attributed to the high adoption rate of advanced analytics solutions, the presence of major technology providers, and a mature digital ecosystem. Meanwhile, Asia Pacific is witnessing the fastest growth, driven by rapid industrialization, increasing IT investments, and the proliferation of cloud computing across countries like China, India, and Japan. Latin America and the Middle East & Africa are also experiencing steady growth, fueled by digital transformation initiatives and the rising demand for data-driven decision-making in both public and private sectors.

Component Analysis

The data visualization market is segmented by component into software

Project is still being worked on.

Initially, this dataset was just for a Google Data Analytics project, where I was given a task to accomplish with the data in a spreadsheet: look at the table given in the spreadsheet, and see if there's a correlation between temperature and revenue in ice cream sales. Eventually, I did see the pattern: higher temperatures usually meant more revenue, which seems realistic. However, I wanted to dig further into the data and perform a deeper analysis using a visualization, and maybe even a regression. My new questions were, "How strong is this correlation?" and "Can we represent the data using a linear regression?"

Government Open Data Management Platform Market Outlook

The global government open data management platform market size was valued at USD 2.5 billion in 2023 and is projected to reach USD 6.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. The rising emphasis on transparency, accountability, and citizen engagement by governments worldwide is a significant driving factor for this market's growth.

The proliferation of digital governance initiatives is one of the primary growth factors for the government open data management platform market. Governments across the globe are increasingly adopting digital platforms to improve public service delivery, enhance citizen engagement, and increase operational efficiency. By providing open access to data, these platforms enable better decision-making and foster innovation among various stakeholders, including businesses, researchers, and the general public. This trend is further accelerated by the growing demand for data-driven governance and public policies that are more responsive and accountable.

Moreover, advancements in data analytics and artificial intelligence (AI) are significantly contributing to the growth of the government open data management platform market. Modern open data platforms are increasingly incorporating sophisticated analytics tools and AI capabilities to offer more insightful and actionable data. These technological advancements enable governments to leverage large datasets for predictive analytics, enhancing their ability to anticipate and respond to public needs effectively. Additionally, the integration of AI in data management platforms helps in automating data processing tasks, thereby improving efficiency and reducing operational costs.

The increasing focus on smart city initiatives is another critical factor driving the demand for government open data management platforms. Smart cities rely heavily on data to optimize urban planning, improve traffic management, enhance public safety, and provide efficient public services. Open data platforms play a crucial role in these initiatives by providing a centralized repository for diverse data sets collected from various sensors and systems across the city. This data can be accessed and analyzed by different stakeholders to develop innovative solutions that address urban challenges and improve the quality of life for citizens.

Government Software plays a pivotal role in the development and implementation of open data management platforms. These software solutions are designed to meet the specific needs of government agencies, providing robust tools for data collection, analysis, and dissemination. By leveraging government software, agencies can ensure data accuracy, enhance transparency, and improve public service delivery. The integration of advanced features such as data visualization, predictive analytics, and machine learning within government software allows for more informed decision-making and policy formulation. As governments continue to prioritize digital transformation, the demand for specialized government software solutions is expected to rise, driving further growth in the open data management platform market.

From a regional perspective, North America holds a significant share of the government open data management platform market, driven by the early adoption of digital governance solutions and the presence of major technology providers in the region. Europe is also a prominent market, with several countries implementing open data policies to promote transparency and citizen participation. The Asia Pacific region is expected to witness substantial growth during the forecast period, supported by increasing government initiatives to digitize public services and the rising adoption of smart city projects. Latin America, the Middle East, and Africa are also anticipated to show promising growth, although at a comparatively slower pace due to varying levels of technological infrastructure and government investment in these regions.

Component Analysis

The government open data management platform market is segmented by component into software and services. Software components include the core data management platforms, which facilitate the collection, storage, and dissemination of open data. These software solutions are designed to handle large volumes of data and provide various functionalities such as data analytics, visualization, and integration. The increasi

Presentation Date: Friday, March 15, 2019. Location: Barnstable, MA. Abstract: A presentation to a crowd of Barnstable High "AstroJunkies," about how we use physics, statistics, and visualizations to turn information from large, public, astronomical data sets, across many wavelengths into a better understanding of the structure of the Milky Way.

Bibliography selected to start an open science project in a University. Ppt presentation is added for use in Spanish.

This dataset collection contains data available on SF open data regarding Public Transportation in the city.

Currently, there are two datasets- The first contains the list of routes taken by the SF Muni Public Transit and the second contains the list of SF Muni Public Transit stops.

1.SF Muni Routes, Source: https://data.sfgov.org/Transportation/Muni-Simple-Routes/9exe-acju. Contains Current Muni routes for simple cartographic and spatial analyses as of July 10, 2023

2.SF Muni Stops, Source: https://data.sfgov.org/Transportation/Muni-Stops/i28k-bkz6. Contains Current Muni stops for geospatial analysis as of July 10, 2023

This custom theme was specifically designed for use in the Resilience CASPER 2023 StoryMap to provide a visually cohesive, engaging, and accessible experience for users. The theme incorporates a thoughtfully curated selection of colors, fonts, and layout settings that align with Austin Public Health’s branding while ensuring clear readability and intuitive navigation.The Resilience CASPER (Community Assessment for Public Health Emergency Response) study is a vital public health initiative aimed at evaluating community resilience, preparedness, and response capabilities in the face of disasters, emergencies, and other health crises. Given the importance of effectively communicating this assessment's findings, this theme was developed to enhance storytelling by presenting complex data in a visually appealing and easy-to-understand format.The design choices within this theme prioritize accessibility, ensuring that information is legible across different devices and for audiences with diverse needs. Consistency in styling helps reinforce the credibility of the StoryMap while also improving user experience by creating a structured, organized, and aesthetically balanced presentation.By using this theme, the Resilience CASPER 2023 StoryMap effectively communicates key insights, supporting public awareness, emergency preparedness efforts, and data-driven decision-making. It serves as a powerful tool for public health officials, emergency responders, policymakers, and community members to better understand local resilience and plan for future public health challenges.The Texas Public Information Act gives you the right to access all government records, except where certain exceptions apply. The public information officer may not ask you why you want the records. Request public records online: https://www.austintexas.gov/PIRLearn more about creating ArcGIS StoryMap Themes

Data driven Visualizations created using Call Center Data.

To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page.