From 8174c50eaffc0f6cb7bd2708c8f9fac377cd4ad5 Mon Sep 17 00:00:00 2001 From: "Marino, CJ" Date: Sat, 7 Dec 2024 11:40:34 -0500 Subject: [PATCH 1/3] Add files via upload --- .../marinc8_final_draft.Rmd | 276 ++++++++++++++++++ .../marinc8_final_draft.pdf | Bin 0 -> 212442 bytes 2 files changed, 276 insertions(+) create mode 100644 StudentNotebooks/Assignment07_DraftFinalProjectNotebook/marinc8_final_draft.Rmd create mode 100644 StudentNotebooks/Assignment07_DraftFinalProjectNotebook/marinc8_final_draft.pdf diff --git a/StudentNotebooks/Assignment07_DraftFinalProjectNotebook/marinc8_final_draft.Rmd b/StudentNotebooks/Assignment07_DraftFinalProjectNotebook/marinc8_final_draft.Rmd new file mode 100644 index 0000000..3ae666f --- /dev/null +++ b/StudentNotebooks/Assignment07_DraftFinalProjectNotebook/marinc8_final_draft.Rmd @@ -0,0 +1,276 @@ +--- +title: "Data Analytics Research Final Project Report" +author: "CJ Marino" +date: "11/30/2024" +output: + pdf_document: + toc: yes + toc_depth: '3' + html_notebook: default + html_document: + toc: yes + toc_depth: 3 + toc_float: yes + number_sections: yes + theme: united +--- + + +# DAR Project and Group Members + +* Project name: MARS +* Project team members: + - Ashton Compton + - Aadi Lahiri + - CJ Marino + - Nicolas Morawski + - Dante Mwatibo + - Charlotte Peterson + - Doña Roberts + - Margo VanEsselstyn + - David Walczyk + + +# Preliminaries. + +*R Notebooks are meant to be dynamic documents. Provide any relevant technical guidance for users of your notebook. Also take care of any preliminaries, such as required packages. Sample text:* + +This report is generated from an R Markdown file that includes all the R code necessary to produce the results described and embedded in the report. Code blocks can be surpressed from output for readability using the command code `{R, echo=show}` in the code block header. If `show <- FALSE` the code block will be surpressed; if `show <- TRUE` then the code will be show. + + + +```{r} +# Set to TRUE to expand R code blocks; set to FALSE to collapse R code blocks +show <- TRUE +``` + + +Executing this R notebook requires some subset of the following packages: + +* `ggplot2` +* *List other packages...* + +These will be installed and loaded as necessary (code suppressed). + + +```{r, include=FALSE} +# This code will install required packages if they are not already installed +# ALWAYS INSTALL YOUR PACKAGES LIKE THIS! +if (!require("ggplot2")) { + install.packages("ggplot2") + library(ggplot2) +} +if (!require("tidyverse")) { + install.packages("tidyverse") + library(tidyverse) +} +## Repeat as needed for your required packages +#if (!require("example")) { +# install.packages("example") +# library(example) +# + +``` + +# Project Introduction + +The MarsMissionMinder application is a 2D Shiny app designed to present comprehensive data analytics and visualizations related to the Perseverance rover mission, as well as to accommodate insights from future Mars missions. The app serves as an interactive tool for researchers, educators, and enthusiasts, providing a user-friendly platform for exploring mission data in an engaging and meaningful way. + +The primary objectives of this project were: + +To develop a visually intuitive and functionally robust front-end interface for the app. +To enable dynamic and interactive exploration of datasets through tables, charts, and graphical representations. +To facilitate scalability, allowing the app to integrate future Mars mission datasets seamlessly. +Development Approach +This project involved front-end development of the app using the Shiny framework in R. While the initial foundation, referred to as "the campfire," provided a starting point, substantial modifications and innovations were introduced to enhance usability and performance. Development progressed through four distinct UI iterations, each addressing specific feedback and usability improvements. The process emphasized: + +Designing an intuitive layout to accommodate multiple datasets and analytics tools. +Implementing dynamic and interactive elements, such as data filtering, visual overlays, and customizable views. +Ensuring compatibility and responsiveness across devices for broader accessibility. +The app leverages advanced R libraries such as ggplot2 for visualizations, DT for interactive tables, and heatmaply for rendering data-intensive heatmaps. Special attention was given to data rendering efficiency and user experience, ensuring that the interface remains responsive and informative even with large datasets. + + + +This report details the development journey, showcasing the evolution of the MarsMissionMinder app and its contributions to Mars mission data visualization. + + +# Organization of Report + +_Give report organization including list of major findings. Sample is provided. Please be sure to edit appropriately and remove this statement._ + +This report is organize as follows: + + +* Section 5.0. Finding 1: The Original UI - This section is a look into the first UI design I came up with and implemented + +* Section 6.0: Finding 2: The Current UI - This section will go through the current and much more refined UI + + + + + +# Finding 1: The Original UI + +The original UI of the MarsMissionMinder app established the foundational structure for organizing and displaying data related to the Perseverance mission. It addressed critical questions about how to effectively organize datasets, provide interactive features, and ensure scalability for future mission data. While the initial design was functional, it served primarily as a prototype, laying the groundwork for future improvements. + +## Data, Code, and Resources + +Data Directory: The data used in this application is available at the following URL: +[MarsMissionMinder Data Directory](https://github.rpi.edu/DataINCITE/MarsMissionMinder-F24/tree/main/data) Data Directory. +This repository includes datasets such as: + +Sample lithology data +SHERLOC mineral identifications +PIXL and clustering outputs +Sample metadata (dates, locations, etc.) +Codebase: Initial development utilized a codebase named The Campfire as a starting point. Modifications and new features were integrated to create a more robust interface. + +Technologies: The app leverages Shiny, ggplot2, heatmaply, and DT libraries in R for creating interactive plots, tables, and heatmaps. + +## Contribution + +The implementation of the original UI was completed solely by me, involving the design, layout, and integration of features. However, the process was heavily influenced by regular feedback from Dr. Bennet, Dr. Erickson, and the MarsMissionMinder team. Their feedback guided iterative adjustments to improve usability, functionality, and aesthetic design. + + +## Methods Description + +The original UI was developed using the following methods: + +Tab-Based Navigation: Organized content into tabs for easy access to sections like sample details, analysis, and metadata. +Placeholder Content: Added placeholders for future maps, data visualizations, and advanced analysis tools to outline app functionality. +Responsive Design: Ensured the layout adapted to various screen sizes, accommodating different user environments. +Dataset Integration: Linked static sample data from the repository to prototype tables and visualizations. + + +## Result and Discussion + +Result A: Basic Layout and Navigation +Method: Implemented a sidebar menu for navigating between different sections of the app. +Observation: The sidebar allowed intuitive switching between tabs, though it did not utilize the full screen width effectively. +Discussion: While the navigation provided a clear structure, it lacked visual appeal and needed optimization for better space utilization. + +Result B: Placeholder Map Integration +Method: Added a placeholder map section to represent potential geographic data visualizations in the app. +Observation: The map placeholder gave users an idea of the planned features but did not contain interactive elements. +Discussion: The placeholder illustrated the app's potential but required dynamic data integration for future iterations. + +Result C: Static Data Display +Method: Integrated static datasets into summary tables and plots. +Observation: The initial tables and plots provided basic insights but lacked interactivity or real-time updates. +Discussion: These static displays demonstrated functionality but underscored the need for dynamic updates and interactive features. + + + + + +## Conclusions, Limitations, and Future Work. + +The development of the original UI for the MarsMissionMinder application marked a critical first step in creating a tool for analyzing and visualizing data from the Perseverance rover mission. While the initial implementation provided a foundation, several significant limitations were identified that impacted the usability and overall effectiveness of the app. + +Significance of Findings +The original UI demonstrated the app’s potential to organize and present Mars mission data in a structured format. It established core features such as tab-based navigation, placeholders for future functionality, and the integration of static datasets. This phase of development helped identify essential requirements for creating a more user-centric and dynamic interface. + +Limitations +Despite its achievements, the original UI suffered from several weaknesses that limited its usability and effectiveness: + +Lack of Dynamic Plot Support: + +The initial design relied heavily on static tables and plots, which limited user engagement and the ability to explore data interactively. +Users were unable to filter, adjust, or dynamically update visualizations in real-time, which hindered the app's applicability for in-depth data analysis. +Unintuitive Design: + +The layout and navigation, while functional, were not visually appealing or intuitive for users unfamiliar with the app. +Features such as the sidebar menu and placeholder content did not optimize screen space, leading to a cluttered and inefficient interface. +Scalability Concerns: + +While the app supported basic static datasets, the original design did not adequately address scalability for larger or more complex datasets anticipated in future Mars missions. +Suggestions for Addressing Limitations +To overcome these limitations, several areas of improvement were identified for future iterations: + +Incorporating interactive plotting libraries (e.g., plotly) to enable dynamic updates and user-driven data exploration. +Redesigning the layout to focus on simplicity and usability, ensuring intuitive navigation and improved visual organization. +Enhancing responsiveness and optimizing screen space to accommodate multiple datasets and visualizations simultaneously. +These insights served as a roadmap for subsequent development stages, emphasizing the need for a more dynamic, user-friendly, and scalable solution to meet the app’s objectives effectively. + + +# Finding 2: The Updated UI - The current mars Mission Minder UI + +The new UI for the MarsMissionMinder application represents a significant leap forward in functionality, usability, and visual appeal. It was designed to address the shortcomings of the original UI by incorporating dynamic, interactive elements and an intuitive layout that enhances the user experience. This section explores the data and code, contributions, methods, results, and limitations of this new design. + +## Data, Code, and Resources + +Data Directory: The data used in this application is available at the following URL: +[MarsMissionMinder Data Directory](https://github.rpi.edu/DataINCITE/MarsMissionMinder-F24/tree/main/data) Data Directory. +This repository includes datasets such as: + +Sample lithology data +SHERLOC mineral identifications +PIXL and clustering outputs +Sample metadata (dates, locations, etc.) +Codebase: Initial development utilized a codebase named The Campfire as a starting point. Modifications and new features were integrated to create a more robust interface. + +Technologies: The app leverages Shiny, ggplot2, heatmaply, and DT libraries in R for creating interactive plots, tables, and heatmaps. + +## Contribution + +The implementation of the new UI was primarily done by me. However nearly all of the tables, and the map were done by either Nicolas Morawski, Dr. Erickson, or David Walczyk. The majority of my work was in the UI components aswell as adding the reactivity via the sample/campaign selector. However the current logic was refined further by Dr. Erickson. + +## Methods Description + +Key methods used in the new UI implementation include: + +Dynamic Data Visualizations: + +Approach: Integrated interactive plotting libraries to enable real-time updates to visualizations based on sidebar selections. +Example: The heatmaps, bar plots, and line graphs dynamically adjust when users filter by campaigns or samples in the sidebar. +Improved Navigation: + +Approach: Introduced a streamlined tab navigation system, providing clear access to exploration tools, comparison plots, and sample reports. +Example: Tabs such as "Exploration" and "Sample Report" now organize content for easy discovery. +Responsive Layout: + +Approach: Redesigned the layout to optimize screen usage, ensuring that tables, maps, and plots are easily viewable and interactive on all devices. + + +## Result and Discussion + +Result 1: Fully Dynamic Visualizations +Method: Enabled real-time updates to heatmaps and bar plots based on sidebar sample and campaign selections. +Observation: Users can dynamically filter and visualize data, leading to a more engaging and exploratory experience. +Visual: +[Placeholder for the heatmap and sample comparison dynamic plots.] +Discussion: The addition of dynamic visualizations addressed one of the key limitations of the original UI by allowing users to interact with data in real time. + +Result 2: Enhanced Sample Mapping +Method: Implemented an interactive map showing sample locations and rover positions on Jezero Crater. +Observation: The map updates dynamically to display campaign-specific data and offers tooltips for detailed exploration. +Visual: +[Placeholder for the Jezero Crater map image.] +Discussion: The interactive map feature provides a visually compelling way to explore geospatial data, significantly improving the app’s utility. + +Result 3: Intuitive Design and Navigation +Method: Simplified the layout and reorganized content into logical tabs and sidebars. +Observation: The design is more user-friendly and visually appealing, with clear pathways to key features. +Visual: +[Placeholder for screenshots of the new sidebar and navigation system.] +Discussion: The intuitive design ensures that users, regardless of technical expertise, can navigate the app effectively and derive insights from the data. + + +## Conclusions, Limitations, and Future Work. + +Conclusions +The new UI successfully addressed the key shortcomings of the original design by incorporating dynamic visualizations, an interactive map, and an intuitive layout. These improvements enhanced the app’s functionality and user experience, making it a more effective tool for exploring Mars mission data. + +Limitations +Despite its successes, the new UI has a few limitations: + +Performance with Large Datasets: Rendering dynamic plots for larger datasets can lead to delays in response time. +Accessibility Features: While the design is more intuitive, additional accessibility features (e.g., keyboard navigation or screen reader support) could further enhance usability. +These findings demonstrate the significant progress made in the app’s development while highlighting areas for continued improvement. + + + + +# Note + +This is relatively bare bones. I was unaware that this was due on the 30th and thought it was due on the 1st after break so I unfortunately was not able to include the screenshots of the old UI and current UI. This requires going back in my commit history and running the old versions of the app to get those screenshots and I ran out of time today. However there will be a image to go with every result (usually more than 1) that will show what I am describing in the text. 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--- marinc8_final_draft.Rmd | 276 ---------------------------------------- 1 file changed, 276 deletions(-) delete mode 100644 marinc8_final_draft.Rmd diff --git a/marinc8_final_draft.Rmd b/marinc8_final_draft.Rmd deleted file mode 100644 index 3ae666f..0000000 --- a/marinc8_final_draft.Rmd +++ /dev/null @@ -1,276 +0,0 @@ ---- -title: "Data Analytics Research Final Project Report" -author: "CJ Marino" -date: "11/30/2024" -output: - pdf_document: - toc: yes - toc_depth: '3' - html_notebook: default - html_document: - toc: yes - toc_depth: 3 - toc_float: yes - number_sections: yes - theme: united ---- - - -# DAR Project and Group Members - -* Project name: MARS -* Project team members: - - Ashton Compton - - Aadi Lahiri - - CJ Marino - - Nicolas Morawski - - Dante Mwatibo - - Charlotte Peterson - - Doña Roberts - - Margo VanEsselstyn - - David Walczyk - - -# Preliminaries. - -*R Notebooks are meant to be dynamic documents. Provide any relevant technical guidance for users of your notebook. Also take care of any preliminaries, such as required packages. Sample text:* - -This report is generated from an R Markdown file that includes all the R code necessary to produce the results described and embedded in the report. Code blocks can be surpressed from output for readability using the command code `{R, echo=show}` in the code block header. If `show <- FALSE` the code block will be surpressed; if `show <- TRUE` then the code will be show. - - - -```{r} -# Set to TRUE to expand R code blocks; set to FALSE to collapse R code blocks -show <- TRUE -``` - - -Executing this R notebook requires some subset of the following packages: - -* `ggplot2` -* *List other packages...* - -These will be installed and loaded as necessary (code suppressed). - - -```{r, include=FALSE} -# This code will install required packages if they are not already installed -# ALWAYS INSTALL YOUR PACKAGES LIKE THIS! -if (!require("ggplot2")) { - install.packages("ggplot2") - library(ggplot2) -} -if (!require("tidyverse")) { - install.packages("tidyverse") - library(tidyverse) -} -## Repeat as needed for your required packages -#if (!require("example")) { -# install.packages("example") -# library(example) -# - -``` - -# Project Introduction - -The MarsMissionMinder application is a 2D Shiny app designed to present comprehensive data analytics and visualizations related to the Perseverance rover mission, as well as to accommodate insights from future Mars missions. The app serves as an interactive tool for researchers, educators, and enthusiasts, providing a user-friendly platform for exploring mission data in an engaging and meaningful way. - -The primary objectives of this project were: - -To develop a visually intuitive and functionally robust front-end interface for the app. -To enable dynamic and interactive exploration of datasets through tables, charts, and graphical representations. -To facilitate scalability, allowing the app to integrate future Mars mission datasets seamlessly. -Development Approach -This project involved front-end development of the app using the Shiny framework in R. While the initial foundation, referred to as "the campfire," provided a starting point, substantial modifications and innovations were introduced to enhance usability and performance. Development progressed through four distinct UI iterations, each addressing specific feedback and usability improvements. The process emphasized: - -Designing an intuitive layout to accommodate multiple datasets and analytics tools. -Implementing dynamic and interactive elements, such as data filtering, visual overlays, and customizable views. -Ensuring compatibility and responsiveness across devices for broader accessibility. -The app leverages advanced R libraries such as ggplot2 for visualizations, DT for interactive tables, and heatmaply for rendering data-intensive heatmaps. Special attention was given to data rendering efficiency and user experience, ensuring that the interface remains responsive and informative even with large datasets. - - - -This report details the development journey, showcasing the evolution of the MarsMissionMinder app and its contributions to Mars mission data visualization. - - -# Organization of Report - -_Give report organization including list of major findings. Sample is provided. Please be sure to edit appropriately and remove this statement._ - -This report is organize as follows: - - -* Section 5.0. Finding 1: The Original UI - This section is a look into the first UI design I came up with and implemented - -* Section 6.0: Finding 2: The Current UI - This section will go through the current and much more refined UI - - - - - -# Finding 1: The Original UI - -The original UI of the MarsMissionMinder app established the foundational structure for organizing and displaying data related to the Perseverance mission. It addressed critical questions about how to effectively organize datasets, provide interactive features, and ensure scalability for future mission data. While the initial design was functional, it served primarily as a prototype, laying the groundwork for future improvements. - -## Data, Code, and Resources - -Data Directory: The data used in this application is available at the following URL: -[MarsMissionMinder Data Directory](https://github.rpi.edu/DataINCITE/MarsMissionMinder-F24/tree/main/data) Data Directory. -This repository includes datasets such as: - -Sample lithology data -SHERLOC mineral identifications -PIXL and clustering outputs -Sample metadata (dates, locations, etc.) -Codebase: Initial development utilized a codebase named The Campfire as a starting point. Modifications and new features were integrated to create a more robust interface. - -Technologies: The app leverages Shiny, ggplot2, heatmaply, and DT libraries in R for creating interactive plots, tables, and heatmaps. - -## Contribution - -The implementation of the original UI was completed solely by me, involving the design, layout, and integration of features. However, the process was heavily influenced by regular feedback from Dr. Bennet, Dr. Erickson, and the MarsMissionMinder team. Their feedback guided iterative adjustments to improve usability, functionality, and aesthetic design. - - -## Methods Description - -The original UI was developed using the following methods: - -Tab-Based Navigation: Organized content into tabs for easy access to sections like sample details, analysis, and metadata. -Placeholder Content: Added placeholders for future maps, data visualizations, and advanced analysis tools to outline app functionality. -Responsive Design: Ensured the layout adapted to various screen sizes, accommodating different user environments. -Dataset Integration: Linked static sample data from the repository to prototype tables and visualizations. - - -## Result and Discussion - -Result A: Basic Layout and Navigation -Method: Implemented a sidebar menu for navigating between different sections of the app. -Observation: The sidebar allowed intuitive switching between tabs, though it did not utilize the full screen width effectively. -Discussion: While the navigation provided a clear structure, it lacked visual appeal and needed optimization for better space utilization. - -Result B: Placeholder Map Integration -Method: Added a placeholder map section to represent potential geographic data visualizations in the app. -Observation: The map placeholder gave users an idea of the planned features but did not contain interactive elements. -Discussion: The placeholder illustrated the app's potential but required dynamic data integration for future iterations. - -Result C: Static Data Display -Method: Integrated static datasets into summary tables and plots. -Observation: The initial tables and plots provided basic insights but lacked interactivity or real-time updates. -Discussion: These static displays demonstrated functionality but underscored the need for dynamic updates and interactive features. - - - - - -## Conclusions, Limitations, and Future Work. - -The development of the original UI for the MarsMissionMinder application marked a critical first step in creating a tool for analyzing and visualizing data from the Perseverance rover mission. While the initial implementation provided a foundation, several significant limitations were identified that impacted the usability and overall effectiveness of the app. - -Significance of Findings -The original UI demonstrated the app’s potential to organize and present Mars mission data in a structured format. It established core features such as tab-based navigation, placeholders for future functionality, and the integration of static datasets. This phase of development helped identify essential requirements for creating a more user-centric and dynamic interface. - -Limitations -Despite its achievements, the original UI suffered from several weaknesses that limited its usability and effectiveness: - -Lack of Dynamic Plot Support: - -The initial design relied heavily on static tables and plots, which limited user engagement and the ability to explore data interactively. -Users were unable to filter, adjust, or dynamically update visualizations in real-time, which hindered the app's applicability for in-depth data analysis. -Unintuitive Design: - -The layout and navigation, while functional, were not visually appealing or intuitive for users unfamiliar with the app. -Features such as the sidebar menu and placeholder content did not optimize screen space, leading to a cluttered and inefficient interface. -Scalability Concerns: - -While the app supported basic static datasets, the original design did not adequately address scalability for larger or more complex datasets anticipated in future Mars missions. -Suggestions for Addressing Limitations -To overcome these limitations, several areas of improvement were identified for future iterations: - -Incorporating interactive plotting libraries (e.g., plotly) to enable dynamic updates and user-driven data exploration. -Redesigning the layout to focus on simplicity and usability, ensuring intuitive navigation and improved visual organization. -Enhancing responsiveness and optimizing screen space to accommodate multiple datasets and visualizations simultaneously. -These insights served as a roadmap for subsequent development stages, emphasizing the need for a more dynamic, user-friendly, and scalable solution to meet the app’s objectives effectively. - - -# Finding 2: The Updated UI - The current mars Mission Minder UI - -The new UI for the MarsMissionMinder application represents a significant leap forward in functionality, usability, and visual appeal. It was designed to address the shortcomings of the original UI by incorporating dynamic, interactive elements and an intuitive layout that enhances the user experience. This section explores the data and code, contributions, methods, results, and limitations of this new design. - -## Data, Code, and Resources - -Data Directory: The data used in this application is available at the following URL: -[MarsMissionMinder Data Directory](https://github.rpi.edu/DataINCITE/MarsMissionMinder-F24/tree/main/data) Data Directory. -This repository includes datasets such as: - -Sample lithology data -SHERLOC mineral identifications -PIXL and clustering outputs -Sample metadata (dates, locations, etc.) -Codebase: Initial development utilized a codebase named The Campfire as a starting point. Modifications and new features were integrated to create a more robust interface. - -Technologies: The app leverages Shiny, ggplot2, heatmaply, and DT libraries in R for creating interactive plots, tables, and heatmaps. - -## Contribution - -The implementation of the new UI was primarily done by me. However nearly all of the tables, and the map were done by either Nicolas Morawski, Dr. Erickson, or David Walczyk. The majority of my work was in the UI components aswell as adding the reactivity via the sample/campaign selector. However the current logic was refined further by Dr. Erickson. - -## Methods Description - -Key methods used in the new UI implementation include: - -Dynamic Data Visualizations: - -Approach: Integrated interactive plotting libraries to enable real-time updates to visualizations based on sidebar selections. -Example: The heatmaps, bar plots, and line graphs dynamically adjust when users filter by campaigns or samples in the sidebar. -Improved Navigation: - -Approach: Introduced a streamlined tab navigation system, providing clear access to exploration tools, comparison plots, and sample reports. -Example: Tabs such as "Exploration" and "Sample Report" now organize content for easy discovery. -Responsive Layout: - -Approach: Redesigned the layout to optimize screen usage, ensuring that tables, maps, and plots are easily viewable and interactive on all devices. - - -## Result and Discussion - -Result 1: Fully Dynamic Visualizations -Method: Enabled real-time updates to heatmaps and bar plots based on sidebar sample and campaign selections. -Observation: Users can dynamically filter and visualize data, leading to a more engaging and exploratory experience. -Visual: -[Placeholder for the heatmap and sample comparison dynamic plots.] -Discussion: The addition of dynamic visualizations addressed one of the key limitations of the original UI by allowing users to interact with data in real time. - -Result 2: Enhanced Sample Mapping -Method: Implemented an interactive map showing sample locations and rover positions on Jezero Crater. -Observation: The map updates dynamically to display campaign-specific data and offers tooltips for detailed exploration. -Visual: -[Placeholder for the Jezero Crater map image.] -Discussion: The interactive map feature provides a visually compelling way to explore geospatial data, significantly improving the app’s utility. - -Result 3: Intuitive Design and Navigation -Method: Simplified the layout and reorganized content into logical tabs and sidebars. -Observation: The design is more user-friendly and visually appealing, with clear pathways to key features. -Visual: -[Placeholder for screenshots of the new sidebar and navigation system.] -Discussion: The intuitive design ensures that users, regardless of technical expertise, can navigate the app effectively and derive insights from the data. - - -## Conclusions, Limitations, and Future Work. - -Conclusions -The new UI successfully addressed the key shortcomings of the original design by incorporating dynamic visualizations, an interactive map, and an intuitive layout. These improvements enhanced the app’s functionality and user experience, making it a more effective tool for exploring Mars mission data. - -Limitations -Despite its successes, the new UI has a few limitations: - -Performance with Large Datasets: Rendering dynamic plots for larger datasets can lead to delays in response time. -Accessibility Features: While the design is more intuitive, additional accessibility features (e.g., keyboard navigation or screen reader support) could further enhance usability. -These findings demonstrate the significant progress made in the app’s development while highlighting areas for continued improvement. - - - - -# Note - -This is relatively bare bones. I was unaware that this was due on the 30th and thought it was due on the 1st after break so I unfortunately was not able to include the screenshots of the old UI and current UI. This requires going back in my commit history and running the old versions of the app to get those screenshots and I ran out of time today. However there will be a image to go with every result (usually more than 1) that will show what I am describing in the text. I also will include a section that dives into the navigation sidebar I made a bit more as well as one explained the expandability and how we can create new mission tabs as well as a better explanation of how the tab structure works. 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