Presentation by Alycia Murugesson & Nokuthula Mabhena on how to make data attractive for the 5th Biennial SAMEA Conference. Covers data visualization and infographics.
Research Project Paper Survey Results in Clustered Bar Chartsrachelhch
Survey Title: A study on the relationship between average hours spent studying virtual classes and stress among 97 students in a college in Kuala Lumpur, Malaysia.
IBM SPSS v26 : Analyze | Descriptive Statistics | Crosstabs Bar Charts
Instrument used : Perceived Stress Scale with 10 items (PSS-10)
Survey period : 02/07/2021 - 08/07/2021
See infographic at https://www.behance.net/gallery/128072421/Research-Project-Paper-Survey-Chart-Result-Infographic
This document discusses various models and approaches for evaluating training programs. It describes Hamblin's model of evaluation which evaluates at four levels: reaction, learning, job behavior, and functioning. Kirkpatrick's and Warr's models are also summarized. The document outlines the need for evaluation, the training cycle, pre-training evaluation including identifying needs and objectives, input evaluation, evaluation during training using methods like observation and course audits, and post-training evaluation of reaction, learning, and job behavior. It also discusses evaluating training staff and the effectiveness of training programs.
The document discusses Kirkpatrick's model for evaluating training programs using a four-tier approach. Tier 1 evaluates reactions, Tier 2 evaluates learning, Tier 3 evaluates behavior change, and Tier 4 evaluates results including business impact. Formative and summative evaluation are also discussed. Feedback forms, surveys, tests and business metrics are used to measure outcomes at each tier. The goal is to improve training quality and impact over time based on evaluation results.
This presentation discusses training evaluation and provides the following key points:
1. Training evaluation involves assessing the effectiveness of training programs by collecting data on participant satisfaction, skills enhancement, and workplace application of new skills.
2. Kirkpatrick's four-level model is commonly used to evaluate training programs at the reaction, learning, behavior, and results levels.
3. The evaluation process includes identifying purposes, selecting methods, designing tools, collecting and analyzing data, and reporting findings to stakeholders such as training directors and funding agencies.
3 big mistakes professionals make when presenting financial or operational da...Dave Paradi
Professionals often make three big mistakes when presenting financial or operational data to executives. The first mistake is including spreadsheets on slides instead of using effective visuals. Spreadsheets are for calculations, not communication. The second mistake is not having clear messages in the presentation. Presentations should be well-structured to take executives from the current situation to the desired outcome. The third mistake is thinking executives love numbers as much as the presenters. Presentations should focus on insights executives can use, not just data. To avoid these mistakes, presenters should use visuals instead of spreadsheets, structure presentations clearly around a main message, and focus on insights rather than numbers alone.
10 Tips for Making Beautiful Slideshow Presentations by www.visuali.seEdahn Small
1. Know your goal | make each slide count
2. Plan it out | in some detail
3. Avoid templates | they have the uglies
4. Choose a color scheme | 4 colors, 1 accent
5. Choose a font scheme | match tone
6. Choose a layout scheme | comprehension
7. Use images (wisely) | they’re more memorable
8. 15 words per slide | this slide had 16 words
9. Play with typography | impact, interest, hierarchy
10. Don’t overdo it | white space
Hope you enjoy!
SEE MORE OF MY WORK: http://www.visuali.se
The document discusses training evaluation and outlines its importance, key concepts, and best practices. It explains that evaluation assesses the effectiveness of training programs and identifies outcomes to measure. A good evaluation involves planning measurable outcomes, choosing an appropriate design, conducting the evaluation, and analyzing results. Finally, the document discusses cost-benefit analysis to determine a training program's return on investment.
The document provides examples of standard, boring presentation templates and encourages the creation of unique, visually appealing templates instead. It emphasizes using fewer words and more images per slide, varying fonts and colors, and breaking content into multiple slides to keep audiences engaged. Inspiration sources like design blogs and galleries of infographics and slide designs are recommended for making impactful presentations that attract and impress audiences.
Research Project Paper Survey Results in Clustered Bar Chartsrachelhch
Survey Title: A study on the relationship between average hours spent studying virtual classes and stress among 97 students in a college in Kuala Lumpur, Malaysia.
IBM SPSS v26 : Analyze | Descriptive Statistics | Crosstabs Bar Charts
Instrument used : Perceived Stress Scale with 10 items (PSS-10)
Survey period : 02/07/2021 - 08/07/2021
See infographic at https://www.behance.net/gallery/128072421/Research-Project-Paper-Survey-Chart-Result-Infographic
This document discusses various models and approaches for evaluating training programs. It describes Hamblin's model of evaluation which evaluates at four levels: reaction, learning, job behavior, and functioning. Kirkpatrick's and Warr's models are also summarized. The document outlines the need for evaluation, the training cycle, pre-training evaluation including identifying needs and objectives, input evaluation, evaluation during training using methods like observation and course audits, and post-training evaluation of reaction, learning, and job behavior. It also discusses evaluating training staff and the effectiveness of training programs.
The document discusses Kirkpatrick's model for evaluating training programs using a four-tier approach. Tier 1 evaluates reactions, Tier 2 evaluates learning, Tier 3 evaluates behavior change, and Tier 4 evaluates results including business impact. Formative and summative evaluation are also discussed. Feedback forms, surveys, tests and business metrics are used to measure outcomes at each tier. The goal is to improve training quality and impact over time based on evaluation results.
This presentation discusses training evaluation and provides the following key points:
1. Training evaluation involves assessing the effectiveness of training programs by collecting data on participant satisfaction, skills enhancement, and workplace application of new skills.
2. Kirkpatrick's four-level model is commonly used to evaluate training programs at the reaction, learning, behavior, and results levels.
3. The evaluation process includes identifying purposes, selecting methods, designing tools, collecting and analyzing data, and reporting findings to stakeholders such as training directors and funding agencies.
3 big mistakes professionals make when presenting financial or operational da...Dave Paradi
Professionals often make three big mistakes when presenting financial or operational data to executives. The first mistake is including spreadsheets on slides instead of using effective visuals. Spreadsheets are for calculations, not communication. The second mistake is not having clear messages in the presentation. Presentations should be well-structured to take executives from the current situation to the desired outcome. The third mistake is thinking executives love numbers as much as the presenters. Presentations should focus on insights executives can use, not just data. To avoid these mistakes, presenters should use visuals instead of spreadsheets, structure presentations clearly around a main message, and focus on insights rather than numbers alone.
10 Tips for Making Beautiful Slideshow Presentations by www.visuali.seEdahn Small
1. Know your goal | make each slide count
2. Plan it out | in some detail
3. Avoid templates | they have the uglies
4. Choose a color scheme | 4 colors, 1 accent
5. Choose a font scheme | match tone
6. Choose a layout scheme | comprehension
7. Use images (wisely) | they’re more memorable
8. 15 words per slide | this slide had 16 words
9. Play with typography | impact, interest, hierarchy
10. Don’t overdo it | white space
Hope you enjoy!
SEE MORE OF MY WORK: http://www.visuali.se
The document discusses training evaluation and outlines its importance, key concepts, and best practices. It explains that evaluation assesses the effectiveness of training programs and identifies outcomes to measure. A good evaluation involves planning measurable outcomes, choosing an appropriate design, conducting the evaluation, and analyzing results. Finally, the document discusses cost-benefit analysis to determine a training program's return on investment.
The document provides examples of standard, boring presentation templates and encourages the creation of unique, visually appealing templates instead. It emphasizes using fewer words and more images per slide, varying fonts and colors, and breaking content into multiple slides to keep audiences engaged. Inspiration sources like design blogs and galleries of infographics and slide designs are recommended for making impactful presentations that attract and impress audiences.
A nurse named Florence Nightingale used data visualization to reduce mortality rates during the Crimean War. She created a pie chart showing the causes of soldier deaths, with the largest slice representing deaths from avoidable hospital diseases. This helped Nightingale convince officials to improve sanitation in hospitals, which reduced the death rate from 40% to 2%. The document then discusses how data storytelling can help individuals advance their careers and provides tips on summarizing data insights concisely for different audiences.
Tell Your Library's Story with Infographics: Tips From an Accidental Graphic ...library_research_service
This document provides tips and guidelines for creating infographics to communicate library data and stories visually. It discusses choosing appropriate charts, simplifying designs, establishing a focal point, and putting numbers in context. Examples are provided of infographics created for libraries along with suggestions for design elements like format, fonts, and colors. Different software options for creating infographics like PowerPoint, Illustrator, Easelly and Piktochart are compared. The goal is to help libraries tell their story and impact through easy to understand visualizations.
APM event hosted by Midlands Branch on 24 May 2023.
Speaker: Andy Nolan
Estimating is the process of determining the level of cost, effort, resources and schedule you need to successfully implement your project. An accurate budget and schedule has been shown to improve project success - estimating is not only required, it's essential for a successful business. This event was held on 24 May 2023.
Estimating appears in many forms in a project's life from developing the initial budget and schedule, to estimating the duration of tasks in your plan, through to estimating risks and uncertainties.
The Rolls-Royce Heritage centre were available before the event for those wanting to explore the history of Rolls-Royce Aero engine development, this included a large collection exhibit engines from early day piston to modern large turbojet engines.
Attendees had the opportunity to discover and learn about Rolls-Royce products via the Heritage Centre, Network with fellow PM professionals, and grow knowledge of how important estimation is within the project Management function.
https://www.apm.org.uk/news/the-art-of-estimating/
Craft Scotland Makers Survey 2013 – the results.
In May Craft Scotland initiated a survey, developed and managed by The Audience Business (TAB), to measure a number of factors which we believe are important to building and maintaining a thriving craft sector. These include:
• Stronger craft networks
• A more confident sector
• Improved exchange of information, on and offline
• Better sector engagement with public bodies
• Improved public engagement with craft
• Better access to new audiences and markets
• Improved marketing skills in the sector
• Increased profile for the sector
This document summarizes the key topics and concepts covered in Chapter 2 of the 9th edition of the business statistics textbook "Presenting Data in Tables and Charts". The chapter discusses guidelines for analyzing data and organizing both numerical and categorical data. It then covers various methods for tabulating and graphing univariate and bivariate data, including tables, histograms, frequency distributions, scatter plots, bar charts, pie charts, and contingency tables.
Principles and Practices of Data VisualizationKianJazayeri1
"Principles of Data Visualization" by Asst. Prof. Dr. Kian Jazayeri offers a deep dive into effective data representation techniques. The presentation begins by underlining the importance of data visualization in revealing true data insights, avoiding errors, and facilitating knowledge sharing. It challenges the viewer to think beyond basic charts, highlighting that effective visualization requires sophisticated skills to accurately convey complex information.
The deck uses Anscombe's Quartet to illustrate the misleading nature of statistics without proper visual representation, showcasing how different data distributions can look when graphed, despite having identical statistical summaries. This example sets the stage for discussing the necessity of visual analysis to uncover the real story behind the data.
Art appreciation parallels are drawn to emphasize the importance of visual aesthetics in data visualization. By comparing renowned artworks, the slides suggest that, like art, data visualization requires a developed sense of design and aesthetics to communicate effectively and make an impact.
Edward Tufte's visualization principles are explored in depth, advocating for a high data-ink ratio, and warning against the lie factor—where the representation of data misleads more than it informs. The presentation also addresses chartjunk, encouraging the removal of unnecessary visual elements that do not add value to the data's understanding.
Dr. Jazayeri emphasizes graphical integrity, advising against scale distortion and advocating for accurate, clear labeling to maintain the data's true proportion and context. The concept of aspect ratios is discussed, advising a balance to avoid visual misrepresentation of trends.
Interactive elements within the slides engage viewers, prompting them to analyze different visualizations and understand how quickly and accurately data can be interpreted. This engagement highlights the "10-Second Rule," the idea that effective visualizations should allow quick and unambiguous data interpretation.
Color usage in data visualization is another focal point, with explanations on how different colors and their intensities can significantly affect data interpretation. Special attention is given to designing for color blindness, ensuring inclusivity in data communication.
Advanced topics include data maps, cartograms, scatter plots, and heatmaps, each discussed with their specific applications and potential for overplotting or misinterpretation. The presentation also critiques tabular data, suggesting improvements for clarity, comparison, and highlighting critical information.
Renowned works, like Minard's depiction of Napoleon's Russian campaign and Marey’s train schedule, are dissected to demonstrate how effective visual storytelling can enhance the comprehension of complex data narratives.
Chapter 8 Measure of Dispersion of DataMISS ESTHER
This document discusses measures of dispersion for ungrouped data. It defines dispersion as how scattered the values in a data set are. Measures of dispersion include range, interquartile range, variance and standard deviation. These measures quantify how spread out the data is by looking at the differences between values. Examples are provided to demonstrate calculating the range and comparing the dispersion of two data sets using dot plots.
How to Enter the Data Analytics Industry?Ganes Kesari
1) A man is rushed to the hospital experiencing a heart attack and the nurse must quickly decide whether to admit him to emergency care using only available cues.
2) Making the wrong decision could cost the man his life so the nurse is under pressure to make the right choice in just a few seconds using limited information.
3) Developing analytical models and algorithms to help medical professionals make faster, data-driven decisions in critical situations like triaging heart attack patients could help save more lives.
Connect with Maths ~Maths leadership series- Session 3- the right knowledgeRenee Hoareau
Connect with Maths ~Maths leadership series- Session 3- the right knowledge presented by Rob Proffitt-White
The right knowledge – A clear valuing and understanding of mathematical content, the connections and a working knowledge of the proficiency strands underpins successful teaching
This workshop targets teachers and school leaders and aims to upskill their assessment literacy by:
• Creating cognitive activation tasks that promote critical thinking in all students
• Ensuring a consistent and shared responsibility for numeracy transfer
• Differentiating tasks through a focus on the proficiency strands
• Classifying the different problem solving types.
Connect with Maths ~ supporting the teaching of mathematics ONLINE
Engaging All Students community ~ http://connectwith.engaging.aamt.edu.au
A key challenge faced by social organisations is the last mile gap -- communicating the insights and actions to the masses.
The problem is one of attention. Very few people spend time on anything that appears unengaging.
The problem is also one of complexity. Most of the audience is lost if the message is not communicated in the form of a simple story.
Data visualisation provides a mechanism for visually engaging stories that can can explain complex results in a simple fashion. It is seeing widespread adoption among the media, NGOs and the Government.
This Webinar discusses examples of how data visualisation has provided insights in areas of social interest, and has communicated these to a broader audience. We will what techniques and support mechanisms are available in the market today to enable visual storytelling.
http://www.eventbrite.com/e/data-visualization-for-social-problems-tickets-15044842529
The document discusses various ways to analyze and present quantitative data from surveys and studies. It provides examples of tables showing counts and percentages of students by age and gender. It also shows bar charts and pie charts representing causes of accidental deaths. The key points are:
- Present data in a way that allows readers to see overall patterns and relationships rather than focusing on individual data points.
- Simpler representations like grouping age ranges can make tables clearer.
- Bar charts and pie charts are useful ways to visually depict frequency or proportional data. Certain designs may be more informative than others.
Data is only useful when your audience can understand it. One of the best ways to decipher a jumble of figures and statistics is to turn it into a visual representation. Learn how to become a data visualization pro.
The document provides information and instructions for a research project assignment in a business statistics and research methods course. Students are asked to choose a topic to research, provide some background and history on the subject, and define an objective and hypothesis to test. An example of researching the effect of social media on air fryer sales is provided. Students must submit a 3-5 page paper with statistical data, proper citations, clear objective and hypothesis. The document also covers organizing and visualizing data, including using summary tables for categorical data and frequency distributions for numerical data.
Australian Community Trends Report National Study summary by Mark McCrindle Mark McCrindle
The objectives of the Australian Community Trends report were to form the basis for a longitudinal study which can be conducted annually and provide a detailed analysis of the effectiveness, engagement and awareness of the not-for-profit sector. Another objective was to help organisations understand the Australian community- the emerging trends, the giving landscape and the current and emerging supporter segment.
Some of the other key objectives are:
Identification of National Giving Macro Segments
Not-for-profit Awareness and Benchmarking Analysis
Identification of Giving Blockers and
Giving Sentiment Index
Not-for-profit Staff and Leaders Snapshot.
Data visualization & Story Telling with DataDr Nisha Arora
Storytelling with data using the appropriate visualization is a skill that is well sought-after for data-driven decision making and it spans many industries and roles (technical/non-technical).
In this presentation, we will briefly discuss the importance of understanding the context, selecting the right visuals, key points for effectively using those for storytelling, design dos, and don’ts, etc.
This document is a 2012-2013 report card for Big Walnut High School that provides grades and performance data across several measures. The school received an overall grade of A for achievement, B for progress, and A's for most other graded components. Charts and tables show the school met nearly all achievement indicators and had high graduation rates. Data on gifted students show most performed at accelerated or advanced levels on tests.
The document provides information and guidance about using tables, charts, and graphs (TCGs) to present data. It discusses when different types of TCGs should be used, including tables for presenting multiple numbers, line graphs for showing trends over time, pie charts for proportions, and bar charts for comparisons. Examples are given of good and poor TCG design. Key tips are provided, such as labeling TCGs clearly, including a title and axis labels, and summarizing the findings in the text. Students are advised to reference all TCGs and evaluate them critically as sources.
Humanizing Data Storytelling for Greater Business ImpactGramener
This presentation was shared by Gramener's Kanishk Kumar Abhishek during his guest lecture session at School of Business Management, NMIMS Mumbai.
Check out Gramener's data storytelling workshop for analysts and data scientists at https://gramener.com/data-storytelling-workshop
The document discusses visual presentation and oral presentation. It lists the group members presenting as Hamza Ali, Jansher Khan, Abrar Ahmad, Qamar Rasool, and Usama Noor. It then discusses the appeal of visual presentation, including that it allows for complex ideas to be more easily understood through simplification and comparison. It also lists common visual presentation methods like tables, line graphs, bar charts, and pie charts. Finally, it discusses effective oral presentation, including understanding the audience, planning the presentation structure and content, and delivering the presentation through clear voice, eye contact, and awareness of audience response.
This document discusses lessons learned from an early grade evaluation in South Africa conducted during the COVID-19 pandemic. The evaluation had four objectives: two impact evaluations, COVID-19 research, and establishing language benchmarks. Large scale data was collected in schools, and the document outlines how to use the data intentionally for decision-making to support teachers, principals, and parents. It also discusses making the data timely, sharing it through various repositories, and learning from the data through collaboration, dialogue, and taking action.
An intercept interview is a survey comprised of close-ended questions that is conducted at beneficiary
service sites by intercepting those beneficiaries. Intercept interviews are a great option for conducting evaluations with vulnerable populations who may not have access to phones or the internet.
More Related Content
Similar to Data Visualization: How to make data attractive
A nurse named Florence Nightingale used data visualization to reduce mortality rates during the Crimean War. She created a pie chart showing the causes of soldier deaths, with the largest slice representing deaths from avoidable hospital diseases. This helped Nightingale convince officials to improve sanitation in hospitals, which reduced the death rate from 40% to 2%. The document then discusses how data storytelling can help individuals advance their careers and provides tips on summarizing data insights concisely for different audiences.
Tell Your Library's Story with Infographics: Tips From an Accidental Graphic ...library_research_service
This document provides tips and guidelines for creating infographics to communicate library data and stories visually. It discusses choosing appropriate charts, simplifying designs, establishing a focal point, and putting numbers in context. Examples are provided of infographics created for libraries along with suggestions for design elements like format, fonts, and colors. Different software options for creating infographics like PowerPoint, Illustrator, Easelly and Piktochart are compared. The goal is to help libraries tell their story and impact through easy to understand visualizations.
APM event hosted by Midlands Branch on 24 May 2023.
Speaker: Andy Nolan
Estimating is the process of determining the level of cost, effort, resources and schedule you need to successfully implement your project. An accurate budget and schedule has been shown to improve project success - estimating is not only required, it's essential for a successful business. This event was held on 24 May 2023.
Estimating appears in many forms in a project's life from developing the initial budget and schedule, to estimating the duration of tasks in your plan, through to estimating risks and uncertainties.
The Rolls-Royce Heritage centre were available before the event for those wanting to explore the history of Rolls-Royce Aero engine development, this included a large collection exhibit engines from early day piston to modern large turbojet engines.
Attendees had the opportunity to discover and learn about Rolls-Royce products via the Heritage Centre, Network with fellow PM professionals, and grow knowledge of how important estimation is within the project Management function.
https://www.apm.org.uk/news/the-art-of-estimating/
Craft Scotland Makers Survey 2013 – the results.
In May Craft Scotland initiated a survey, developed and managed by The Audience Business (TAB), to measure a number of factors which we believe are important to building and maintaining a thriving craft sector. These include:
• Stronger craft networks
• A more confident sector
• Improved exchange of information, on and offline
• Better sector engagement with public bodies
• Improved public engagement with craft
• Better access to new audiences and markets
• Improved marketing skills in the sector
• Increased profile for the sector
This document summarizes the key topics and concepts covered in Chapter 2 of the 9th edition of the business statistics textbook "Presenting Data in Tables and Charts". The chapter discusses guidelines for analyzing data and organizing both numerical and categorical data. It then covers various methods for tabulating and graphing univariate and bivariate data, including tables, histograms, frequency distributions, scatter plots, bar charts, pie charts, and contingency tables.
Principles and Practices of Data VisualizationKianJazayeri1
"Principles of Data Visualization" by Asst. Prof. Dr. Kian Jazayeri offers a deep dive into effective data representation techniques. The presentation begins by underlining the importance of data visualization in revealing true data insights, avoiding errors, and facilitating knowledge sharing. It challenges the viewer to think beyond basic charts, highlighting that effective visualization requires sophisticated skills to accurately convey complex information.
The deck uses Anscombe's Quartet to illustrate the misleading nature of statistics without proper visual representation, showcasing how different data distributions can look when graphed, despite having identical statistical summaries. This example sets the stage for discussing the necessity of visual analysis to uncover the real story behind the data.
Art appreciation parallels are drawn to emphasize the importance of visual aesthetics in data visualization. By comparing renowned artworks, the slides suggest that, like art, data visualization requires a developed sense of design and aesthetics to communicate effectively and make an impact.
Edward Tufte's visualization principles are explored in depth, advocating for a high data-ink ratio, and warning against the lie factor—where the representation of data misleads more than it informs. The presentation also addresses chartjunk, encouraging the removal of unnecessary visual elements that do not add value to the data's understanding.
Dr. Jazayeri emphasizes graphical integrity, advising against scale distortion and advocating for accurate, clear labeling to maintain the data's true proportion and context. The concept of aspect ratios is discussed, advising a balance to avoid visual misrepresentation of trends.
Interactive elements within the slides engage viewers, prompting them to analyze different visualizations and understand how quickly and accurately data can be interpreted. This engagement highlights the "10-Second Rule," the idea that effective visualizations should allow quick and unambiguous data interpretation.
Color usage in data visualization is another focal point, with explanations on how different colors and their intensities can significantly affect data interpretation. Special attention is given to designing for color blindness, ensuring inclusivity in data communication.
Advanced topics include data maps, cartograms, scatter plots, and heatmaps, each discussed with their specific applications and potential for overplotting or misinterpretation. The presentation also critiques tabular data, suggesting improvements for clarity, comparison, and highlighting critical information.
Renowned works, like Minard's depiction of Napoleon's Russian campaign and Marey’s train schedule, are dissected to demonstrate how effective visual storytelling can enhance the comprehension of complex data narratives.
Chapter 8 Measure of Dispersion of DataMISS ESTHER
This document discusses measures of dispersion for ungrouped data. It defines dispersion as how scattered the values in a data set are. Measures of dispersion include range, interquartile range, variance and standard deviation. These measures quantify how spread out the data is by looking at the differences between values. Examples are provided to demonstrate calculating the range and comparing the dispersion of two data sets using dot plots.
How to Enter the Data Analytics Industry?Ganes Kesari
1) A man is rushed to the hospital experiencing a heart attack and the nurse must quickly decide whether to admit him to emergency care using only available cues.
2) Making the wrong decision could cost the man his life so the nurse is under pressure to make the right choice in just a few seconds using limited information.
3) Developing analytical models and algorithms to help medical professionals make faster, data-driven decisions in critical situations like triaging heart attack patients could help save more lives.
Connect with Maths ~Maths leadership series- Session 3- the right knowledgeRenee Hoareau
Connect with Maths ~Maths leadership series- Session 3- the right knowledge presented by Rob Proffitt-White
The right knowledge – A clear valuing and understanding of mathematical content, the connections and a working knowledge of the proficiency strands underpins successful teaching
This workshop targets teachers and school leaders and aims to upskill their assessment literacy by:
• Creating cognitive activation tasks that promote critical thinking in all students
• Ensuring a consistent and shared responsibility for numeracy transfer
• Differentiating tasks through a focus on the proficiency strands
• Classifying the different problem solving types.
Connect with Maths ~ supporting the teaching of mathematics ONLINE
Engaging All Students community ~ http://connectwith.engaging.aamt.edu.au
A key challenge faced by social organisations is the last mile gap -- communicating the insights and actions to the masses.
The problem is one of attention. Very few people spend time on anything that appears unengaging.
The problem is also one of complexity. Most of the audience is lost if the message is not communicated in the form of a simple story.
Data visualisation provides a mechanism for visually engaging stories that can can explain complex results in a simple fashion. It is seeing widespread adoption among the media, NGOs and the Government.
This Webinar discusses examples of how data visualisation has provided insights in areas of social interest, and has communicated these to a broader audience. We will what techniques and support mechanisms are available in the market today to enable visual storytelling.
http://www.eventbrite.com/e/data-visualization-for-social-problems-tickets-15044842529
The document discusses various ways to analyze and present quantitative data from surveys and studies. It provides examples of tables showing counts and percentages of students by age and gender. It also shows bar charts and pie charts representing causes of accidental deaths. The key points are:
- Present data in a way that allows readers to see overall patterns and relationships rather than focusing on individual data points.
- Simpler representations like grouping age ranges can make tables clearer.
- Bar charts and pie charts are useful ways to visually depict frequency or proportional data. Certain designs may be more informative than others.
Data is only useful when your audience can understand it. One of the best ways to decipher a jumble of figures and statistics is to turn it into a visual representation. Learn how to become a data visualization pro.
The document provides information and instructions for a research project assignment in a business statistics and research methods course. Students are asked to choose a topic to research, provide some background and history on the subject, and define an objective and hypothesis to test. An example of researching the effect of social media on air fryer sales is provided. Students must submit a 3-5 page paper with statistical data, proper citations, clear objective and hypothesis. The document also covers organizing and visualizing data, including using summary tables for categorical data and frequency distributions for numerical data.
Australian Community Trends Report National Study summary by Mark McCrindle Mark McCrindle
The objectives of the Australian Community Trends report were to form the basis for a longitudinal study which can be conducted annually and provide a detailed analysis of the effectiveness, engagement and awareness of the not-for-profit sector. Another objective was to help organisations understand the Australian community- the emerging trends, the giving landscape and the current and emerging supporter segment.
Some of the other key objectives are:
Identification of National Giving Macro Segments
Not-for-profit Awareness and Benchmarking Analysis
Identification of Giving Blockers and
Giving Sentiment Index
Not-for-profit Staff and Leaders Snapshot.
Data visualization & Story Telling with DataDr Nisha Arora
Storytelling with data using the appropriate visualization is a skill that is well sought-after for data-driven decision making and it spans many industries and roles (technical/non-technical).
In this presentation, we will briefly discuss the importance of understanding the context, selecting the right visuals, key points for effectively using those for storytelling, design dos, and don’ts, etc.
This document is a 2012-2013 report card for Big Walnut High School that provides grades and performance data across several measures. The school received an overall grade of A for achievement, B for progress, and A's for most other graded components. Charts and tables show the school met nearly all achievement indicators and had high graduation rates. Data on gifted students show most performed at accelerated or advanced levels on tests.
The document provides information and guidance about using tables, charts, and graphs (TCGs) to present data. It discusses when different types of TCGs should be used, including tables for presenting multiple numbers, line graphs for showing trends over time, pie charts for proportions, and bar charts for comparisons. Examples are given of good and poor TCG design. Key tips are provided, such as labeling TCGs clearly, including a title and axis labels, and summarizing the findings in the text. Students are advised to reference all TCGs and evaluate them critically as sources.
Humanizing Data Storytelling for Greater Business ImpactGramener
This presentation was shared by Gramener's Kanishk Kumar Abhishek during his guest lecture session at School of Business Management, NMIMS Mumbai.
Check out Gramener's data storytelling workshop for analysts and data scientists at https://gramener.com/data-storytelling-workshop
The document discusses visual presentation and oral presentation. It lists the group members presenting as Hamza Ali, Jansher Khan, Abrar Ahmad, Qamar Rasool, and Usama Noor. It then discusses the appeal of visual presentation, including that it allows for complex ideas to be more easily understood through simplification and comparison. It also lists common visual presentation methods like tables, line graphs, bar charts, and pie charts. Finally, it discusses effective oral presentation, including understanding the audience, planning the presentation structure and content, and delivering the presentation through clear voice, eye contact, and awareness of audience response.
Similar to Data Visualization: How to make data attractive (20)
This document discusses lessons learned from an early grade evaluation in South Africa conducted during the COVID-19 pandemic. The evaluation had four objectives: two impact evaluations, COVID-19 research, and establishing language benchmarks. Large scale data was collected in schools, and the document outlines how to use the data intentionally for decision-making to support teachers, principals, and parents. It also discusses making the data timely, sharing it through various repositories, and learning from the data through collaboration, dialogue, and taking action.
An intercept interview is a survey comprised of close-ended questions that is conducted at beneficiary
service sites by intercepting those beneficiaries. Intercept interviews are a great option for conducting evaluations with vulnerable populations who may not have access to phones or the internet.
Quality Assurance and Surveillance Plans (QASP) are
important tools in your toolbox that will help you ensure project qualityand build in inclusivity, but they are often seen as a bit of a drag.
Khulisa shares some tips, tricks and processes to build your QASP.
By the end of this interactive lecture, you will have a way forward to designing inclusive and effective evaluations that are of the highest quality.
This document summarizes a presentation on evaluating a reading support project in Botswana that utilized WhatsApp data. The project aimed to improve early grade reading through teacher training, coaching and materials. Due to COVID-19, coaches communicated with teachers virtually using WhatsApp groups. The evaluation team analyzed available WhatsApp data from 14 coaches qualitatively and quantitatively. Qualitative analysis involved reviewing messages and media for themes in coaching. Quantitative analysis included group sizes and frequencies of messages from coaches and influencers. Results showed group sizes ranged from 3 to 92 participants, with a total of 4,693 messages exchanged across 14 groups.
The document discusses how fieldwork and data collection processes may change after COVID-19. There will likely be increased use of remote data collection methods over in-person fieldwork. Data collection that does not require observation or verification can be done via phone. Creative and innovative remote methods like online surveys, telephonic interviews, and using photos/videos will become more common. However, some parts of the world may still require physical data collection due to limitations. Overall, greater emphasis will be placed on safety, hygiene protocols, and reducing risks.
Over the past decade and more increasingly, international development donors are calling for stronger approaches to incorporate gender into program design, implementation, and monitoring and evaluation.
Presentation by Kris Eale for 2019 AfrEA Strand: Equity in evaluation
Where are beneficiaries’ voices when evaluating the effectiveness of community programmes?
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow and levels of neurotransmitters and endorphins which elevate and stabilize mood.
Khulisa Management Services celebrated their 25th anniversary on October 10, 2018. The document lists the names of over 100 staff members who attended the celebration in pairs or groups. It does not provide any other details about the event.
Khulisa provides monitoring, evaluation, research and data quality assurance services globally. The document summarizes Khulisa's work over 2015-2017, highlighting several projects in sectors like health, education, youth development and governance. It discusses Khulisa's expanded global footprint, with offices in Africa and North America, and increased project work in 25 countries across five continents. The summary emphasizes Khulisa's focus on accurately measuring progress through innovative evaluation approaches and building evaluation capacity.
Using mobile data collection to monitor early childhood development in South Africa. Mobile data collection provides reliable, accurate, timely data while saving time and money compared to paper surveys. A pilot project collected data from 340 early childhood sites using Android tablets and Open Data Kit software. This provided standard indicators, integrated data like photos and locations, and helped decision making. Challenges included ensuring devices and internet access, but officials were enthusiastic about the method's potential to improve transparency and early childhood development outcomes.
Dr Bardini and Cassandra Jessee from YouthPower hosted a workshop on Measuring Positive Youth Development (PYD) at the 8th AfrEA International Conference in Kampala, Ghana.
Dr Bardini and Cassandra Jessee from YouthPower hosted a workshop on Measuring Positive Youth Development (PYD) at the 8th AfrEA International Conference in Kampala, Ghana.
This document outlines the typical stages of development for an evaluation firm: inception, survival, growth and development, and maturity.
It discusses the inception stage, where an evaluator must determine their niche and values. The survival stage focuses on identifying services, understanding contracts, meeting clients, and determining rates.
The growth and development stage involves taking on more employees, larger contracts, and institutionalizing practices while managing cash flow and complex clients. Finally, the maturity stage requires succession planning and considering how to continue developing the business for long-term survival.
Khulisa Director, Jennifer Bisgard, presented on the EvalAgenda and the 8th AfrEA Conference at SAMEA EvalCafe on April 10, 2017. SAMEA members participated through the Human Sciences Research Council video conferencing facilities in Pretoria, Cape Town and Durban.
This presentation discusses the challenges of measuring and evaluating results for youth development programs. It identifies common challenges such as collecting baseline and performance data in the field, obtaining informed consent when working with youth, and identifying standard performance indicators for positive youth development. The presentation calls for stronger feedback loops to synthesize lessons learned from evaluations and implement rapid action plans to address issues. The overall goal is for the various partners involved in youth development programs to work together to improve monitoring, evaluation, and learning and ultimately improve outcomes for youth.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
4. Your data is only as good as
your ability to understand and communicate it, which
is why choosing the right visualization is essential.
–Data Visualization 101
14. Creating a data visualisation is a lot like cooking. You
decide what data you need, you collect it, you prepare
and clean it for use, and then you make the
visualisation and present your finished result.
–Data & Design
16. Interval Categorical Nominal Ordinal Qualitative
Term Grade
No. of
Learners
No. of
classes per
grade
Favourite
Activity
Educators
comment
1 Grade 4 280 4 Soccer
“Classes are too
crowded and it is
difficult to attend
to all learners”
2 Grade 6 190 4 Dancing
“We need more
textbooks, learners
have to share”
28. 0
50
100
150
200
250
300
350
Gr 3 Gr 4 Gr 5 Gr 6 Gr 7
NumberofLearners
Number of Learners per Grade
BAR/COLUMN
Useconsistent
colours
UsesuitableAxis
intervals
Descriptivetitle
Spacebars
appropriately
UseHorizontal
Labels
Orderdata
appropriately
Startthe
y-axisat0
34. PIE/DONUT
29%
21%20%
18%
12%
Grade 3 learners love playing soccer
When asked to indicate what after school activity is their favourite, 29%
chose soccer. Following was Netball, tennis and dance at 21%, 20% and
18% respectively
Soccer
Netball
Tennis
Dance
Other
37. LINE
GRADE 3
GRADE 4
GRADE 5
0
10
20
30
40
50
60
70
80
90
100
Term 1 Term 2 Term 3 Term 4
AveragePercentage Learners Maths Scores in 2014
38. GRADE 3
GRADE 4
GRADE 5
0
10
20
30
40
50
60
70
80
90
100
Term 1 Term 2 Term 3 Term 4
AveragePercentage Learners Maths Scores in 2014
LINE Labelthelines
directly
USETHERIGHT
HEIGHT
UsesolidLINES
only
Includeazero
baseline
39. LINE
GRADE 3
GRADE 4
GRADE 5
0%
20%
40%
60%
80%
100%
Term 1 Term 2 Term 3 Term 4
Grade 4 achieves highest gains in Maths scores
The Grade 4s improved their maths scores by over 60% from an average
score of 25% in Term 1 to 89% in Term 4
44. SCATTER/BUBBLE
0
10
20
30
40
50
0 20 40 60 80 100
ExtraClassesAttended
Learners’ Literacy Percentage
Extra classes contribute to higher literacy scores
Learners who attended over 25 extra literacy classes achieved a literacy score of
50% or more.
46. INFOGRAPHICS are essential for making
data attractive & can include a number
of different DATA VISUALISATIONS
47. Both data visualization and infographics turn data into
images that nearly anyone can easily understand –
making them invaluable tools for explaining the
significance of digits to people who are more visually
oriented.
– Jonsen Carmack
56. Bradley Hand ITC
Brush Script
Courier New
Comic Sans MS
Juice ITC
Kristen ITC
Lucida Console
Times New Roman
Trebuchet MS
Tempus Sans
Papyrus
Verdana
60. ADOBE COLOR CC https://color.adobe.com/
DESIGN-SEEDS http://design-seeds.com/
FONT SQUIRREL http://www.fontsquirrel.com/
FLATICON http://www.flaticon.com/
FREEPIK http://www.freepik.com/
Early forms of data visualisation can be found in the form of maps and graphs dating back to the 1600’s
Data Visualisation is defined as a process by which data is presented in a visual or graphical format. The goal is to effectively communicate information to a diverse audience, in the form of visual data which is easily consumed and digested.
Your data is only as good as your ability to understand and communicate it, which is why choosing the right visualization is essential
–Data Visualization 101
In order to succeed in visualising data, there are many factors to consider. This includes; knowing your data, understanding the power of visuals as well as learning how to create appropriate graphics. It is also important to be aware of common data visualisation mistakes to avoid.
If your data is misrepresented or presented ineffectively, key insights and understanding
are lost, which hurts both your message and your reputation. The good news is that you
don’t need a PhD in statistics to crack the data visualization code. This guide will walk you
through the most common charts and visualizations, help you choose the right
presentation for your data, and give you practical design tips and tricks to make sure
you avoid rookie mistakes. It’s everything you need to help your data make a big impact.
With the increase in the use of graphics to disseminate information, reporting is in the process of a transformation.
This involves the use of creative visuals to produce attractive reports,
grabbing the attention of readers and ensuring that findings are not ignored.
Communicating data using visuals allows evaluators to showcase trends, correlation and outliers in interesting ways.
It also draws attention to the differences which exist in comparative data.
Findings can be conveyed using numbers, but to highlight certain results, visuals drive the message.
To accurately create visualisations, it is important to understand your data. This involves identifying the types of data that can be visualised, ensuring that your data is consistent and accurate as well as aggregating data to discover trends, correlations and outliers.
It is necessary to know the type of data you are working with as it determines how it can be visually communicated.
Basic data groups include; quantitative (nominal, ordinal, interval and ratio), qualitative and categorical.
Data cleaning and aggregation
Data should be collected and processed thoroughly to ensure consistency which will produce accurate results for analyses.
Aggregation of data is necessary to identify patterns in your data which translate into key findings. These processes are necessary to isolate key messages to highlight using appropriate data visualisation.
Knowing your data helps with deciding which and how much data to illustrate when creating a visualisation. Consider these three questions
The first aspect to be considered is the type of graphic most appropriate to illustrate your data. Many different graphs and other visual methods can be utilised. The most commonly used graphs include:
Each of these graphs can be used in several ways to display different types of data. Quick and easy changes to the standard format of these graphs can improve the appearance, making it more visually attractive and appealing to readers.
In Grade 3 30% belonged to the low achievers, 33% belonged to the medium achievers and 33% belonged to the high achievers.
Data Visualisation is defined as a process by which data is presented in a visual or graphical format. The goal is to effectively communicate information to a diverse audience, in the form of visual data which is easily consumed and digested.
Your data is only as good as your ability to understand and communicate it, which is why choosing the right visualization is essential
–Data Visualization 101
In order to succeed in visualising data, there are many factors to consider. This includes; knowing your data, understanding the power of visuals as well as learning how to create appropriate graphics. It is also important to be aware of common data visualisation mistakes to avoid.
including graphs, charts, quotes, icons and pictures
Infographics use these elements combined with appropriate use of colour and fonts to present results and findings in a visually appealing graphic.
Use abobe color cc to find suitable colour combinations
Note grayscale printing
Don’t forget to provide context for your visuals and a supporting narrative.