Data Visualizations
Data Visualizations
User Task Importance Ranking based on Search Terms
2024
Problem
Trying to use search keywords input by users to determine what tasks users come on the website to complete.
Variables
Categorical
Search Keyword, Search Intent, Business Unit (All Nominal Categories)
Quantitative
Task Importance Score which was a metric I created based on users, sessions, and how many times each keyword was searched for.
Relationship
The chart displays a ranking relationship based on keywords and task importance score.
Main Message
The chart needed to communicate to business units which tasks users were coming to the AMA to complete.
Design Decisions
To show the ranking relationship, I placed the keyword category on the y-axis and the values on x-axis so you can see which keywords had the highest score to lowest score. I used color to show which words were linked to which search intent since different keywords are used with the intention of finding similar content to complete a certain task. I chose to filter on the Business Units so if we needed to communicate the information to a specific business unit about their content it would be easy to figure out which one. Also, it was a lot of data so we needed a way to break it up.
Takeaways
Many users come to the AMA website looking for the benefits that an AMA membership provides. We need more content on physician specialties. A lot of users come to our website to located CPT codes. Many users need assitance in writing cover letters.
Software Used
Power BI
User Task Importance Ranking based on Search Terms
2024
Problem
Trying to use search keywords input by users to determine what tasks users come on the website to complete.
Variables
Categorical
Search Keyword, Search Intent, Business Unit (All Nominal Categories)
Quantitative
Task Importance Score which was a metric I created based on users, sessions, and how many times each keyword was searched for.
Relationship
The chart displays a ranking relationship based on keywords and task importance score.
Main Message
The chart needed to communicate to business units which tasks users were coming to the AMA to complete.
Design Decisions
To show the ranking relationship, I placed the keyword category on the y-axis and the values on x-axis so you can see which keywords had the highest score to lowest score. I used color to show which words were linked to which search intent since different keywords are used with the intention of finding similar content to complete a certain task. I chose to filter on the Business Units so if we needed to communicate the information to a specific business unit about their content it would be easy to figure out which one. Also, it was a lot of data so we needed a way to break it up.
Takeaways
Many users come to the AMA website looking for the benefits that an AMA membership provides. We need more content on physician specialties. A lot of users come to our website to located CPT codes. Many users need assitance in writing cover letters.
Software Used
Power BI
User Task Importance Ranking based on Search Terms
2024
Problem
Trying to use search keywords input by users to determine what tasks users come on the website to complete.
Variables
Categorical
Search Keyword, Search Intent, Business Unit (All Nominal Categories)
Quantitative
Task Importance Score which was a metric I created based on users, sessions, and how many times each keyword was searched for.
Relationship
The chart displays a ranking relationship based on keywords and task importance score.
Main Message
The chart needed to communicate to business units which tasks users were coming to the AMA to complete.
Design Decisions
To show the ranking relationship, I placed the keyword category on the y-axis and the values on x-axis so you can see which keywords had the highest score to lowest score. I used color to show which words were linked to which search intent since different keywords are used with the intention of finding similar content to complete a certain task. I chose to filter on the Business Units so if we needed to communicate the information to a specific business unit about their content it would be easy to figure out which one. Also, it was a lot of data so we needed a way to break it up.
Takeaways
Many users come to the AMA website looking for the benefits that an AMA membership provides. We need more content on physician specialties. A lot of users come to our website to located CPT codes. Many users need assitance in writing cover letters.
Software Used
Power BI
AMA One UX Dashboard
2024
Problem
Our team lacked a way to track performance on projects we had completed.
Variables
Categorical
Users (Nominal), Types of Interactions (Nominal), Time (Interval)
Quantitative
Number of Users, Number of Interactions
Relationship
We're measuring a comparison through ratios by dividing the interactions by the number of users or sessions.
Main Message
This graph needs to communicate the metrics that are most important to the User Experience designers on the product team.
Design Decisions
I chose to only show metrics for most of the key performance indicators since that's what helps us see the relationship. I left the user engagement as a bar chart to give it some weight on the dashboard and because seeing how users are engaging over time might help us indicate factors that lead to ebbs and flows.
Takeaways
Users are engaging with the project I have selected at the moment but it's not leading to conversions. Maybe we can improve the project so the membership call to action is louder.
Software Used
Quantum Metrics
AMA One UX Dashboard
2024
Problem
Our team lacked a way to track performance on projects we had completed.
Variables
Categorical
Users (Nominal), Types of Interactions (Nominal), Time (Interval)
Quantitative
Number of Users, Number of Interactions
Relationship
We're measuring a comparison through ratios by dividing the interactions by the number of users or sessions.
Main Message
This graph needs to communicate the metrics that are most important to the User Experience designers on the product team.
Design Decisions
I chose to only show metrics for most of the key performance indicators since that's what helps us see the relationship. I left the user engagement as a bar chart to give it some weight on the dashboard and because seeing how users are engaging over time might help us indicate factors that lead to ebbs and flows.
Takeaways
Users are engaging with the project I have selected at the moment but it's not leading to conversions. Maybe we can improve the project so the membership call to action is louder.
Software Used
Quantum Metrics
AMA One UX Dashboard
2024
Problem
Our team lacked a way to track performance on projects we had completed.
Variables
Categorical
Users (Nominal), Types of Interactions (Nominal), Time (Interval)
Quantitative
Number of Users, Number of Interactions
Relationship
We're measuring a comparison through ratios by dividing the interactions by the number of users or sessions.
Main Message
This graph needs to communicate the metrics that are most important to the User Experience designers on the product team.
Design Decisions
I chose to only show metrics for most of the key performance indicators since that's what helps us see the relationship. I left the user engagement as a bar chart to give it some weight on the dashboard and because seeing how users are engaging over time might help us indicate factors that lead to ebbs and flows.
Takeaways
Users are engaging with the project I have selected at the moment but it's not leading to conversions. Maybe we can improve the project so the membership call to action is louder.
Software Used
Quantum Metrics
Lowest Pre-teen Mortality Rates Globally
2024
Problem
Tasked with discovering how many countries had a lower per 100,000 death rate in the 10-14 year old age range than the United States.
Variables
Categorical
Countries (Nominal), Age Groups (Interval)
Quantitative
Deaths per 100,000
Relationship
The task asks us to compare the values to the United States by ranking the countries.
Main Message
The graph needs to communicate the countries where the pre-teen rate is less than the US.
Design Decisions
I chose to use a gradient with the United States being the darkest color since it's the measuring stick. I also put it at the top so the audience can visually follow how the data becomes less deaths. I put the categorical variables on the y-axis and the quantitative variables on the x-axis so the relationship of how they rank is easier to see.
Takeaways
31 countries have a lower per 100,00 death rate in the 10-14 year old range than the United States. Of those 31 countries 25 of them are in Europe.
Software Used
Tableau
Lowest Pre-teen Mortality Rates Globally
2024
Problem
Tasked with discovering how many countries had a lower per 100,000 death rate in the 10-14 year old age range than the United States.
Variables
Categorical
Countries (Nominal), Age Groups (Interval)
Quantitative
Deaths per 100,000
Relationship
The task asks us to compare the values to the United States by ranking the countries.
Main Message
The graph needs to communicate the countries where the pre-teen rate is less than the US.
Design Decisions
I chose to use a gradient with the United States being the darkest color since it's the measuring stick. I also put it at the top so the audience can visually follow how the data becomes less deaths. I put the categorical variables on the y-axis and the quantitative variables on the x-axis so the relationship of how they rank is easier to see.
Takeaways
31 countries have a lower per 100,00 death rate in the 10-14 year old range than the United States. Of those 31 countries 25 of them are in Europe.
Software Used
Tableau
Lowest Pre-teen Mortality Rates Globally
2024
Problem
Tasked with discovering how many countries had a lower per 100,000 death rate in the 10-14 year old age range than the United States.
Variables
Categorical
Countries (Nominal), Age Groups (Interval)
Quantitative
Deaths per 100,000
Relationship
The task asks us to compare the values to the United States by ranking the countries.
Main Message
The graph needs to communicate the countries where the pre-teen rate is less than the US.
Design Decisions
I chose to use a gradient with the United States being the darkest color since it's the measuring stick. I also put it at the top so the audience can visually follow how the data becomes less deaths. I put the categorical variables on the y-axis and the quantitative variables on the x-axis so the relationship of how they rank is easier to see.
Takeaways
31 countries have a lower per 100,00 death rate in the 10-14 year old range than the United States. Of those 31 countries 25 of them are in Europe.
Software Used
Tableau
User Interactions on Article Pages
2024
Problem
I needed to place icons for these actions in an order as a designer, so I wanted to see which icons users were interacting with the most.
Variables
Categorical
Actions users can take in the action bar on the article page. (Nominal) Labeled as Events because that is what they are called in Google Analytics.
Quantitative
The number of times users completed the actions.
Relationship
The relationship I'm trying to show in the data is a ranking between all the actions in the action bar.
Main Message
The graph needs to show me which users interact with which actions the most.
Design Decisions
This was a pretty simple chart to make, I placed the actions (events in GA) on the left so you could see the volume of interactions from highest to lowest to easily know how to order the icons.
Takeaways
In my design I ordered the icons as print icon, share icon, subscribe icon, then bookmark icon.
Software Used
Power BI
User Interactions on Article Pages
2024
Problem
I needed to place icons for these actions in an order as a designer, so I wanted to see which icons users were interacting with the most.
Variables
Categorical
Actions users can take in the action bar on the article page. (Nominal) Labeled as Events because that is what they are called in Google Analytics.
Quantitative
The number of times users completed the actions.
Relationship
The relationship I'm trying to show in the data is a ranking between all the actions in the action bar.
Main Message
The graph needs to show me which users interact with which actions the most.
Design Decisions
This was a pretty simple chart to make, I placed the actions (events in GA) on the left so you could see the volume of interactions from highest to lowest to easily know how to order the icons.
Takeaways
In my design I ordered the icons as print icon, share icon, subscribe icon, then bookmark icon.
Software Used
Power BI
User Interactions on Article Pages
2024
Problem
I needed to place icons for these actions in an order as a designer, so I wanted to see which icons users were interacting with the most.
Variables
Categorical
Actions users can take in the action bar on the article page. (Nominal) Labeled as Events because that is what they are called in Google Analytics.
Quantitative
The number of times users completed the actions.
Relationship
The relationship I'm trying to show in the data is a ranking between all the actions in the action bar.
Main Message
The graph needs to show me which users interact with which actions the most.
Design Decisions
This was a pretty simple chart to make, I placed the actions (events in GA) on the left so you could see the volume of interactions from highest to lowest to easily know how to order the icons.
Takeaways
In my design I ordered the icons as print icon, share icon, subscribe icon, then bookmark icon.
Software Used
Power BI
IMDB Data Project
2023
Problem
Tasked with creating charts using IMDB Data. This was a class assignment, so the real problem I was trying to solve is did I take in our last lesson on data visualization.
Variables
Categorical
Movies Color Patterns (Nominal), Directors (Nominal), Movies Ratings (Nominal, an argument could be made for hierarchical given the way I nested the different ratings within a larger rating), Years (Interval)
Quantitative
Number of movies, Gross Profits of Movies, Number of FaceBook likes, Movie Budgets
Relationship
Several relationships are shown ing the chart, including ratio relationships and ranking relationships.
Main Message
The graphs communicate different ways someone can make charts using IMDB Data
Design Decisions
Here I was playing around a lot with color to communicate and make information stand out. I also used gridlines with quantitative values to keep users from getting confused. Now I'm not sure they were necessary. The pie chart was not necessary.
Takeaways
IMDB's data architecture must be intense. There have been way more movies in color than in black and white. Steven Spielberg's movies make the most money. There may be correlation between Facebook users and PG-13 and R rated movies, or it could be that facebook users just happen to fall into the same age brackets that are more likely to watch movies in those rating brackets. Movie budgets have increased a lot since 1980 but seem to be declining after hitting a peak in the early 2000s. I wonder if that's when CGI started being used in movies.
Software Used
Excel, Figma
IMDB Data Project
2023
Problem
Tasked with creating charts using IMDB Data. This was a class assignment, so the real problem I was trying to solve is did I take in our last lesson on data visualization.
Variables
Categorical
Movies Color Patterns (Nominal), Directors (Nominal), Movies Ratings (Nominal, an argument could be made for hierarchical given the way I nested the different ratings within a larger rating), Years (Interval)
Quantitative
Number of movies, Gross Profits of Movies, Number of FaceBook likes, Movie Budgets
Relationship
Several relationships are shown ing the chart, including ratio relationships and ranking relationships.
Main Message
The graphs communicate different ways someone can make charts using IMDB Data
Design Decisions
Here I was playing around a lot with color to communicate and make information stand out. I also used gridlines with quantitative values to keep users from getting confused. Now I'm not sure they were necessary. The pie chart was not necessary.
Takeaways
IMDB's data architecture must be intense. There have been way more movies in color than in black and white. Steven Spielberg's movies make the most money. There may be correlation between Facebook users and PG-13 and R rated movies, or it could be that facebook users just happen to fall into the same age brackets that are more likely to watch movies in those rating brackets. Movie budgets have increased a lot since 1980 but seem to be declining after hitting a peak in the early 2000s. I wonder if that's when CGI started being used in movies.
Software Used
Excel, Figma
IMDB Data Project
2023
Problem
Tasked with creating charts using IMDB Data. This was a class assignment, so the real problem I was trying to solve is did I take in our last lesson on data visualization.
Variables
Categorical
Movies Color Patterns (Nominal), Directors (Nominal), Movies Ratings (Nominal, an argument could be made for hierarchical given the way I nested the different ratings within a larger rating), Years (Interval)
Quantitative
Number of movies, Gross Profits of Movies, Number of FaceBook likes, Movie Budgets
Relationship
Several relationships are shown ing the chart, including ratio relationships and ranking relationships.
Main Message
The graphs communicate different ways someone can make charts using IMDB Data
Design Decisions
Here I was playing around a lot with color to communicate and make information stand out. I also used gridlines with quantitative values to keep users from getting confused. Now I'm not sure they were necessary. The pie chart was not necessary.
Takeaways
IMDB's data architecture must be intense. There have been way more movies in color than in black and white. Steven Spielberg's movies make the most money. There may be correlation between Facebook users and PG-13 and R rated movies, or it could be that facebook users just happen to fall into the same age brackets that are more likely to watch movies in those rating brackets. Movie budgets have increased a lot since 1980 but seem to be declining after hitting a peak in the early 2000s. I wonder if that's when CGI started being used in movies.
Software Used
Excel, Figma
Food Delivery Interest Survey Results
2022
Problem
Tasked with doing quantitative research on creating a new food delivery app. The chart on the left was trying to solve the problem of would the participants in our research be affected by the new app based on location. The chart on the right solves the problem of what features can we use to increase the likelihood that our future audience will want to order delivery.
Variables
Categorical
Countries (Nominal), Age Groups (Interval)
Quantitative
Deaths per 100,000
Relationship
The chart on the right shows a ratio relationship by showing how much of the whole is located in what areas. The chart on the left shows us a ranking chart in a round about way, but we are ranking possible features of the app by likelihood they will encourage use.
Main Message
The graphs needed to communicate our survey results. They were used on different slides in a presentation.
Design Decisions
For the chart on the left I chose a pie chart because I wasn't aware at the time that area size is hard to interpret visually. At the time I believed it was the best way to show parts of a whole relationship. If I could redo the chart today I wouldn't create a chart, I would just show metrics. The chart on the right was chosen because it visually showed the likert scale responses in a way I thought was easier to comprehend. I think the stacked bar chart shows the distribution of the responses well. I believe the color palette matched the color palette of the slide show.
Takeaways
For the chart on the right, most of the population surveyed lives in an area where they could use the app. For the chart on the right, quality assurance matters most to survey respondents in their decision to order food delivery, followed by delivery fees and service fees.
Software Used
Qualtrics, Figma
Food Delivery Interest Survey Results
2022
Problem
Tasked with doing quantitative research on creating a new food delivery app. The chart on the left was trying to solve the problem of would the participants in our research be affected by the new app based on location. The chart on the right solves the problem of what features can we use to increase the likelihood that our future audience will want to order delivery.
Variables
Categorical
Countries (Nominal), Age Groups (Interval)
Quantitative
Deaths per 100,000
Relationship
The chart on the right shows a ratio relationship by showing how much of the whole is located in what areas. The chart on the left shows us a ranking chart in a round about way, but we are ranking possible features of the app by likelihood they will encourage use.
Main Message
The graphs needed to communicate our survey results. They were used on different slides in a presentation.
Design Decisions
For the chart on the left I chose a pie chart because I wasn't aware at the time that area size is hard to interpret visually. At the time I believed it was the best way to show parts of a whole relationship. If I could redo the chart today I wouldn't create a chart, I would just show metrics. The chart on the right was chosen because it visually showed the likert scale responses in a way I thought was easier to comprehend. I think the stacked bar chart shows the distribution of the responses well. I believe the color palette matched the color palette of the slide show.
Takeaways
For the chart on the right, most of the population surveyed lives in an area where they could use the app. For the chart on the right, quality assurance matters most to survey respondents in their decision to order food delivery, followed by delivery fees and service fees.
Software Used
Qualtrics, Figma
Food Delivery Interest Survey Results
2022
Problem
Tasked with doing quantitative research on creating a new food delivery app. The chart on the left was trying to solve the problem of would the participants in our research be affected by the new app based on location. The chart on the right solves the problem of what features can we use to increase the likelihood that our future audience will want to order delivery.
Variables
Categorical
Countries (Nominal), Age Groups (Interval)
Quantitative
Deaths per 100,000
Relationship
The chart on the right shows a ratio relationship by showing how much of the whole is located in what areas. The chart on the left shows us a ranking chart in a round about way, but we are ranking possible features of the app by likelihood they will encourage use.
Main Message
The graphs needed to communicate our survey results. They were used on different slides in a presentation.
Design Decisions
For the chart on the left I chose a pie chart because I wasn't aware at the time that area size is hard to interpret visually. At the time I believed it was the best way to show parts of a whole relationship. If I could redo the chart today I wouldn't create a chart, I would just show metrics. The chart on the right was chosen because it visually showed the likert scale responses in a way I thought was easier to comprehend. I think the stacked bar chart shows the distribution of the responses well. I believe the color palette matched the color palette of the slide show.
Takeaways
For the chart on the right, most of the population surveyed lives in an area where they could use the app. For the chart on the right, quality assurance matters most to survey respondents in their decision to order food delivery, followed by delivery fees and service fees.
Software Used
Qualtrics, Figma