assignment 3 storytelling with open data

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In the final project, your team will implement interactive data visualizations to turn your topic and the data into compelling storytelling.

Data storytelling is a method of communicating insights from data analyses through narratives and visualizations.

The team submitted four deliverables: 1) deploying the project on the web, 2) publishing your source code to GitHub, 3) a 10-minute presentation video, and 4) presentation slides.

You are free to use libraries introduced in the class (i.e., Altair, Panel, Streamlit, and D3.js) or any code-based libraries (e.g., Bokeh, Plotly, Holoviz, GeoViews, PyVis). However, you are not allowed to use dashboard software (e.g., Tableau, Microsoft Power BI, QlikSense) for the final project.

The minimum requirements of your project are the following:

You do not necessarily build backends; only an index.html file should be enough. Your interface should be as self-explaining as possible, with appropriate labels for panels, axes, and widgets, a legend documenting the meaning of visual encodings, and a meaningful title and description.

and

The team should prepare a presentation video to describe your project and demo the tool. The video should be at a maximum of 10 minutes and uploaded to YouTube with public or unlisted visibility. Split the presentation so that everyone will take part in the presentation.

Your presentation will include the following:

You may find this guide on .

You are encouraged but not required to make the presentation video public. At least you need to set the publicity as so that we can access the video.

format. The last slide should indicate who did what in the project.

The final project is due before .

60 points

We designed the final project based on the Visual Analytics course by Petra Isenberg and the Information Visualization course by Tamara Munzner.

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Page last modified on May 02, 2024, at 03:07 AM

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Data Storytelling: How to Effectively Tell a Story with Data

• 23 Nov 2021

When you hear the term “data analysis,” what do you think of? Your mind may jump to scouring spreadsheets, implementing algorithms, and making mathematical calculations—all “hard skills” of data analysis. Yet, hard skills are useless without their soft skill counterparts. It’s not enough to just analyze data; you need to know how to communicate the story it tells in a clear, compelling manner—a skill called data storytelling .

According to the Bureau of Labor Statistics , the demand for research analysts is expected to grow 25 percent between 2020 and 2030, much faster than the average across all industries. Many companies have begun including data storytelling as a required skill in analyst job descriptions, while others have opted to hire for data storyteller positions to supplement their existing analytics teams’ abilities. Possessing the skills to both analyze data and communicate its insights can help you stand out as a well-rounded candidate.

Here’s a primer on the key components of data storytelling, why storytelling is an impactful communication tool, and how to craft a compelling narrative of your own.

Access your free e-book today.

What Is Data Storytelling?

Data storytelling is the ability to effectively communicate insights from a dataset using narratives and visualizations. It can be used to put data insights into context for and inspire action from your audience.

There are three key components to data storytelling:

• Data: Thorough analysis of accurate, complete data serves as the foundation of your data story. Analyzing data using descriptive , diagnostic , predictive , and prescriptive analysis can enable you to understand its full picture.
• Narrative: A verbal or written narrative, also called a storyline, is used to communicate insights gleaned from data, the context surrounding it, and actions you recommend and aim to inspire in your audience.
• Visualizations: Visual representations of your data and narrative can be useful for communicating its story clearly and memorably. These can be charts, graphs, diagrams, pictures, or videos.

Data storytelling can be used internally (for instance, to communicate the need for product improvements based on user data) or externally (for instance, to create a compelling case for buying your product to potential customers).

Related: The Advantages of Data-Driven Decision-Making

The Psychological Power of Storytelling

Humans have told stories since the Cro-Magnon era to communicate with others for survival and record accounts of daily life. While storytelling methods have come a long way since the days of cave paintings, its psychological power holds true tens of thousands of years later.

The brain’s preference for stories over pure data stems from the fact that it takes in so much information every day and needs to determine what’s important to process and remember and what can be discarded.

When someone hears a story, multiple parts of the brain are engaged, including:

• Wernicke’s area, which controls language comprehension
• The amygdala, which processes emotional response
• Mirror neurons, which play a role in empathizing with others

When multiple areas of the brain are engaged, the hippocampus—which stores short-term memories—is more likely to convert the experience of hearing a story into a long-term memory.

Rather than presenting your team with a spreadsheet of data and rattling off numbers, consider how you can engage multiple parts of their brains. Using data storytelling, you can evoke an emotional response on a neural level that can help your points be remembered and acted upon.

How to Craft a Compelling Data Narrative

Data storytelling uses the same narrative elements as any story you’ve read or heard before: characters, setting, conflict, and resolution.

To help illustrate this, imagine you’re a data analyst and just discovered your company’s recent decline in sales has been driven by customers of all genders between the ages of 14 and 23. You find that the drop was caused by a viral social media post highlighting your company’s negative impact on the environment, and craft a narrative using the four key story elements:

• Characters: The players and stakeholders include customers between the ages of 14 and 23, environmentally conscious consumers, and your internal team. This doesn’t need to be part of your presentation, but you should define the key players for yourself beforehand.
• Setting: Set the scene by explaining there’s been a recent drop in sales driven by customers of all genders ages 14 to 23. Use a data visualization to show the decline across audience types and highlight the largest drop in young users.
• Conflict: Describe the root issue: A viral social media post highlighted your company’s negative impact on the environment and caused tens of thousands of young customers to stop using your product. Incorporate research (such as this article in the Harvard Business Review ) about how consumers are more environmentally conscious than ever and how sustainably-marketed products can potentially drive more revenue than their unsustainable counterparts. Remind the team of your company’s current unsustainable manufacturing practices to clarify why customers stopped purchasing your product. Use visualizations here, too.
• Resolution: Propose your solution. Based on this data, you present a long-term goal to pivot to sustainable manufacturing practices. You also center marketing and public relations efforts on making this pivot visible across all audience segments. Use visualizations that show the investment required for sustainable manufacturing practices can pay off in the form of earning customers from the growing environmentally conscious market segment.

If there isn’t a conflict in your data story—for instance, if the data showed your current marketing campaign was driving traffic and exceeding your goal—you can skip that element and go straight to recommending that the current course of action be maintained.

Whatever story the data tells, you can communicate it effectively by formatting your narrative with these elements and walking your audience through each piece with the help of visualizations.

Communicating the Need for Action

Data storytelling can help turn data insights into action. Without effective communication, insights can go unnoticed or unremembered by your audience; both hard and soft skills are crucial for leveraging data to its fullest potential.

Harvard Business School Professor Jan Hammond speaks to this in the online course Business Analytics , one of three courses that make up the Credential of Readiness (CORe) program.

“Always remember that applying analytical techniques to managerial problems requires both art and science,” Hammond says. “Over my career, I’ve learned that it’s the soft skills that are the hardest to master, but they’re critically important.”

Do you want to become a data-driven professional? Explore our eight-week Business Analytics course and our three-course Credential of Readiness (CORe) program to deepen your analytical skills and apply them to real-world business problems.

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The topic of my question is "Storytelling with Open Data 1 answer below »

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Submission Checklist An R-based, web-hosted (e.g. Plotly, RPub, Shinyapps.io etc.) data visualisation dashboard/app/slideshow etc. (see below) You must include a reference(s) to your data source(s) in the web-hosted assignment! A PDF or Word document uploaded to Canvas containing your student name, student number, URL to your published assignment and all the raw code required to reproduce your data visualisation assignment. You do not need to upload your data. However, you must have it ready to share with the marker if requested. Questions about Assignment 3? Ask on the Assignment 3 Discussions thread. Failure to meet the submission requirements will incur a late penalty and delay your feedback. Assignment Instructions The goal of Assignment 3 is simple. Tell a compelling story using data visualisation. What story you tell is up to you. The constraints for telling the story are detailed below. Constraints Assignment 3 must be based on open or public data. Ensure you include a reference to your data source(s) in the web hosted assignment. Your assignment must be an R-based, web-hosted dashboard, application or interactive slideshow/storyboard. You can use static or interactive/animated plots. Reports and video presentations are NOT permitted. How you design and tell the story is up to you. However, the following restrictions apply: Dashboards or applications: One HD screen (1080p - no scrolling) with a maximum of 3 pages/areas/tabs. There is no limit to the number of visualisations you can include on each page. Slideshows or storyboards: 10 transitions/slides. There is no limit to the number of visualisations you can include in the slideshow. Your assignment must be hosted online and publicly accessible using a URL (e.g. Plotly, RPubs, Shinyapps.io etc.) Approved Topic If you are short on time and a topic and dataset for Assignment 3 to get started, you can use the following topic. Crime Statistics Agency Crime Statistics AgencyLinks to an external site. (CSA) is responsible for the independent analysis and reporting of crime statistics in Victoria. According to the CSA website, the objectives of agency include the following: Improve the accessibility of crime statistics for all Victorians Strengthen the integrity and quality of recorded crime data and instil public confidence in crime statistics Build an evidence base to support decision making and policy development Provide tools that improve the statistical literacy of stakeholders and clients, including data users and commentators The CSA publishes numerous online reports and utilises data visualisation to communicate key metrics and insights to government, the media, researchers, and the public. You should familiarise yourself with the CSA website and their existing reports before commencing Assignment 3. With the CSA objectives in mind, your goal will be use CSA data to build data visualisations/apps/dashboards that tell a story about crime in Victoria or allow the public to explore CSA data in a way to uncover their own stories. Here are some ideas to help develop your narratives: Propose narrative data visualisation methods that enhance or build upon existing CSA reports Link CSA data with other data sources (e.g. Census data, other state crime statistics agencies, economic data) in order to tell stories which help the public to understand crime Build interactive data visualisation apps that turn detailed tabular data collected and reported by the CSA into accessible narrative data visualisations. Please feel free to discuss and get feedback on your story ideas in Assignment 3 Discussions thread. Late Submissions Late submissions will be marked in accordance with the late submission policy. Please see the Welcome and Orientation Module in Canvas. Collaboration versus Collusion and Plagiarism You are permitted to discuss and collaborate on the assignment with your classmates. However, the assignment must be an individual effort. Assignments will be submitted through Turnitin, so if you’ve copied material, code and data from the web or from a fellow classmate or previous students, it will be detected. It is your responsibility to ensure you do not copy or do not allow another classmate to copy your work. If plagiarism is detected, both the copier and the student copied from will be responsible. It is good practice to never share assignment files with other students. The topic of my assignment is "Storytelling with Open Data" Deadline:: 22 nd May 2023 it is about creating the story telling data or interactive data in the R studio software Assignment must be based on open or public data, ensure you include a reference to your data source(s) in the web hosted assignment. Your assignment must be an R based, web-hosted dashboard application or interactive slideshow/storyboard. You can use static or interactive/animated plots. Reports and video presentation are not allowed or permitted. How you design and tell the story is up to you. However, the following restrictions apply. Dashboard or Applications: One HD screen(1080P – no scrolling) with a maximum of 3 pages/areas/tabs. There is no limit of number of visualisations you can include in each page. Slideshow or STORYBOARDS: 10 Transition/slides. There is no limit to the number of Visualisation you can include in the slideshow. Your assignment must be hosted online and publicaly accessible using URL( Eg: Plotly, Rpubs, Shinyapps.io. etc) IDEAS Propose narrative data visualization methods that enhance or build upon existing CSA reports Link CSA data with other data sources( eg:Census data, other state crime data statistic agencies, economic data) in the order to tell stories which help public understand crime. Build interactive data visualization apps that turn detailed tabular data collected and reported by the CSA into accessible tools to the public.

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Storytelling with Data Assignment 3: Binary converter

ContextLab/storytelling-with-data-binary-converter

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Binary converter.

This is a template repository for PSYC 81.09 Assignment 3: Binary converter . All of the assignment instruction are in the Jupyter (.ipynb) notebook. After accepting the assignment , open (click) the binary_converter.ipynb notebook and then click on the blue "Open in Colab" button at the top. A new tab or window should open in your browser, displaying the notebook in Google Colaboratory.

Setup and submission

In order to submit your assignment you'll first need to save an editable copy of your notebook. Click File > Save a copy in Drive and then save your copy of the notebook as binary_converter.ipynb (i.e., remove the " Copy of " text that gets automatically appended to the beginning of the filename).

The second setup task is to ensure that Colaboratory has access to your private repositories on GitHub. (By default, your assignment repositories will be accessible only to you and the course instructor.) To give Colaboratory access to your private repositories:

• Navigate to http://colab.research.google.com/github
• Make sure the "Include Private Repos" checkbox is checked
• In the popup window, sign into your GitHub account and authorize Colab to read private files

You should do your work on the assignment in the copied notebook (i.e., the copied notebook that you have the ability to save and edit). Submitting the assignment entails syncing your copy of the notebook with your GitHub repository (in this case, ContextLab/binary-converter-<username> , with <username> replaced with your GitHub username). From within Colaboratory, open your notebook and click File > Save a copy in GitHub. Select ContextLab/binary-converter-<username> from the Repository drop-down menu, and type ' binary_converter.ipynb ' into the File path text box. Optionally, you may also enter a description into the "Commit message" text box (or you can just leave the default message). Make sure that the "Include a link to Colaboratory" box is checked, and press "OK". A new tab or window should open up, displaying your submitted notebook from within your GitHub repository.

• Jupyter Notebook 100.0%

Expanded Storytelling

Assignment 3.

I want to continue working with data and word parsing. I think I will continue with Twitter data because it is comes with a lot of information (such as time, place, images, etc). I am interested in how our minds will fill in spaces where we are missing data. Sparse data causes us to paint full pictures in that aren’t necessarily the truth. I wonder if there is a way I can create the illusion of a real person by pulling tweets with certain key words such as “Sarah” and “dog” (creating the story of a girl named sarah who has a dog).

I am also open to suggestions of things the class might be interested in learning from Twitter data. So any ideas to push this further would be very welcome!

If this first plan doesn’t work I am considering doing data visualization to create beautiful artworks. I’m thinking I could build images out of tweet sentiment and make a kind of “mood quilt”. Again suggestions are welcome.

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International Consultant on Data Visualization and Storytelling, Home-based

Advertised on behalf of.

Istanbul, TURKEY

Type of Contract :

Individual Contract

Starting Date :

Application deadline :.

23-Aug-24 (Midnight New York, USA)

Post Level :

International Consultant

Duration of Initial Contract :

Time left :, languages required :.

English  

Expected Duration of Assignment :

Up to 10 working days between September 2024 – December 2024

UNDP is committed to achieving workforce diversity in terms of gender, nationality and culture. Individuals from minority groups, indigenous groups and persons with disabilities are equally encouraged to apply. All applications will be treated with the strictest confidence. UNDP does not tolerate sexual exploitation and abuse, any kind of harassment, including sexual harassment, and discrimination. All selected candidates will, therefore, undergo rigorous reference and background checks.

UN Women, grounded in the vision of equality enshrined in the Charter of the United Nations, works for the elimination of discrimination against women and girls; the empowerment of women; and the achievement of equality between women and men as partners and beneficiaries of development, human rights, humanitarian action and peace and security. The UN Women Europe and Central Asia Regional Office (ECA RO) was established in Istanbul, Turkyie, in early 2014. It provides support and oversight to Country Offices in Albania, Bosnia and Herzegovina, Georgia, Kazakhstan, Kyrgyzstan, Moldova, and Ukraine. In addition, the Regional Office directly supports programme and project presence in Kosovo (under UN Security Council Resolution 1244), the Republic of North Macedonia, Serbia, Tajikistan, and Türkiye.

Since 2018, UN Women ECA RO is implementing a regional component of the Flagship Programme Initiative “ Making Every Woman and Girl Count” (Women Count) [1] , developed by UN Women Headquarters (HQ). The Women Count programme aims to affect a radical shift in the production, availability, accessibility and use of quality data and statistics on key aspects of gender equality and women’s empowerment. The programme intends to achieve results in three interlinked areas of work:

• Enabling environment: Building a supportive policy and institutional environment for the localization and effective monitoring of the Sustainable Development Goals (SDGs);
• Data production : Increasing the quality, comparability and regularity of gender statistics to address national data gaps and meet reporting commitments under the SDGs; and
• Data accessibility: Ensuring that gender statistics are accessible to users in governments, among civil society, academia, and the private sector to strengthen adequate demand for their production.

To increase the accessibility and uptake of gender data and to contribute to the implementation of the 2022-2025 Strategic Note (SN) of the UN Women Regional Office for Europe and Central Asia (ECARO), Women Count has planned a series of initiatives aimed at fostering data literacy skills of various audiences empowering them to explore, analyze, interpret and communicate gender data in innovative and impactful ways.

Particularly, jointly with School of Data Kyrgyzstan UN Women is planning a 3-day Data Art Residency on 17-19 September 20224 for creative talents from across Central Asia. The aim of the event is to empower participants to translate gender data into compelling contemporary artworks focused on key gender equality issues in the region. The 20 invited artists, selected from over 200 applications through an open call, underwent an intensive online training programme in July 2024 that introduced them to data art concepts, gender equality priorities, and available data sources in Central Asia. During the residency, participants will finalize the conceptualization of their art projects, refining their storylines, cleaning and validating their data, and preparing it for artistic expression. Following the residency, they will receive a small grant for up to one month to craft their artworks under the close mentorship of UN Women and School of Data. The final artworks will be displayed at an international art exhibition, which will be held either in one of the locations in Central Asia or in Istanbul, Türkiye.

Another initiative is the Gender Datathon in Albania, scheduled for 2-4 October 2024 that targets a diverse audience, including researchers, gender advocates, students, and media professionals. Over 50 participants, organized into eight teams, will come together to create media and advocacy products using gender data. They were selected from over 140 applications through an open call with 70 shortlisted who passed a tailored online capacity building programme to prepare and refine their project ideas for the upcoming datathon. As a result of the datathon, top three winning teams will be identified who will then receive targeted 2-month mentorship support to refine and prepare their gender data products for publication.

To support the participants in both initiatives, UN Women seeks to hire an International Consultant on Data Visualization and Storytelling. This consultant will provide guidance and support to help participants effectively communicate their findings and stories through data. The consultant will be reporting to Regional Gender Data Specialist and will be supported by Knowledge Management and Programme Consultant, who will be the main point of contact on the contract and payment issues.

Duties and Responsibilities

The International Consultant will support UN Women in providing expert guidance and support in data visualization and storytelling to participants of both the Data Art Residency and Gender Datathon, ensuring their projects effectively communicate gender data insights.

The scope of work for the assignment will include the following tasks:

1. Support and guide participants of Data Art Residency in Central Asia:

• Design and conduct a 2-hour workshop at the UN Women Data Art Residency for Central Asia, showcasing the narrative potential of data visualization and practical tips on turning data into engaging visualizations that tell stories, including an inspirational keynote and hands-on exercises for at least 20 participants.
• Participate in the pitching of artworks during Art Residency and provide oral feedback to the participants.
• Provide written feedback to enhance visualization and storylines of 15 gender data artworks created by the residency participants

2.Support and guide participants of Gender Datathon in Albania:

• Design and conduct a 1.5-hour online workshop at the UN Women Gender Datathon in Albania, showcasing the narrative potential of data visualization and practical tips on turning data into engaging visualizations that tell stories, including an inspirational keynote and hands-on exercises for at least 50 participants.

	By 17 September 2024
	By 19 September 2024
	By 1 December 2024
	By 4 October 2024

Consultant’s Workplace and Official Travel

This is a home-based consultancy, with possible travel to Central Asia subject to availability of the consultant.

Competencies

Core Values: 

• Respect for Diversity 
• Integrity 
• Professionalism 

Core Competencies: 

• Awareness and Sensitivity Regarding Gender Issues 
• Accountability 
• Creative Problem Solving 
• Effective Communication 
• Inclusive Collaboration 
• Stakeholder Engagement 
• Leading by Example 

Please visit this link for more information on UN Women’s Core Values and Competencies:  

https://www.unwomen.org/en/about-us/employment/application-process#_Values  

FUNCTIONAL COMPETENCIES: 

• Knowledge of gender equality and women’s empowerment issues.
• Strong organizational skills, with the ability to manage multiple tasks and deadlines.
• Strong written/oral communication skills.
• Strong interpersonal skills.
• Competencies in coordination, planning and teamwork.
• A commitment to quality product and deadlines.

Required Skills and Experience

Education and Certification:

• Advanced (Masters) degree preferably in graphic design, media, communication or other related subject.

Experience:

• At least 7 years of relevant experience in data visualization, data storytelling or a related field.
• Proven experience in designing and delivering training programmes and providing mentorship to diverse groups.
• Experience in integrating data into visual art, with a portfolio of relevant work.
• Experience of work with gender equality and women’s empowerment issues in is an asset.
• Previous professional experience with development agencies and/or the United Nations is an asset.

How to Apply:

• Personal CV or P11 (P11 can be downloaded from: https://www.unwomen.org/sites/default/files/Headquarters/Attachments/Sections/About%20Us/Employment/UN-Women-P11-Personal-History-Form.doc )
• A cover letter (maximum length: 1 page)

Assignment 3 - Storytelling with Open Data

Student details.

Student’s Name : EI THIRI LWIN

Student’s Number : S3866360

The purpose of this evaluation is to present a compelling story using data visualisation based on open data.

The dataset “International football results from 1872 to 2022” is used from https://www.kaggle.com/datasets/martj42/international-football-results-from-1872-to-2017

This dataset is offered for academic use by Mart Jürisoo, Data analyst, Tallinn, Harju County, Estonia.

The dataset comprises 44,060 international football match results from 1972 to 2022, and the “results.csv” file contains the following columns:

date - date of the match

home_team - the name of the home

away_team - the name of the away team

home_score - full-time home team score including extra time, not including penalty-shootouts

away_score - full-time away team score including extra time, not including penalty-shootouts

tournament - the name of the tournament

city - the name of the city/town/administrative unit where the match was played

country - the name of the country where the match was played

neutral - TRUE/FALSE column indicating whether the match was played at a neutral venue

Data Visualization Code to generate plots

• MATH2270 Assignment 3 - Storytelling with Open Data
• by William Tan
• Last updated almost 2 years ago
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