Software visualization or software visualisation refers to the visualization of information of and related to software systems -either the architecture of its source code or metrics of their runtime behavior- and their development process by means of static, interactive or animated 2-D or 3-D visual representations of their structure, execution, behavior, and evolution.
Software system information
Software visualization uses a variety of information available about software systems. Key information categories include:
The objectives of software visualization are to support the understanding of software systems (i.e., its structure) and algorithms (e.g., by animating the behavior of sorting algorithms) as well as the analysis and exploration of software systems and their anomalies (e.g., by showing classes with high coupling) and their development and evolution. One of the strengths of software visualization is to combine and relate information of software systems that are not inherently linked, for example by projecting code changes onto software execution traces.
7 Best Data Visualization Tools in 2024 [Full Software Demo]
Here are bets data visualization tools:
1. Microsoft Power Bi
▶ Try Microsoft Power Bi: https://businessolution.org/get/microsoft-power-bi/
2. Databox
▶ Try DataBox (free plan): https://businessolution.org/get/databox/
3. Tableu Desktop
▶ Try Tableu: https://businessolution.org/get/tableau/
4. Visme
▶ Try Visme (free plan): https://businessolution.org/get/visme/
5. Zoho Analytics
▶ Try Zoho Analytics: https://businessolution.org/get/zoho-analytics/
6. Looker Studio
▶ Try Looker Studio: https://businessolution.org/get/google-cloud/
7. Lucidchart
▶ Try Lucidchart: https://businessolution.org/get/lucidchart/
Timestamps:
0:00 – Data Visualization Tools
0:26 – Microsoft Power Bi
3:41 – DataBox
6:34 – Tableau Desktop
8:28 – Visme
9:56 – Zoho Analytics
11:35 – Looker Studio
13:20 – Lu...
published: 01 Apr 2024
Software Visualization: The humane solution - Eberhard Gräther [ACCU 2019]
#C++ #Clang #AccuConf
Visualization leverages research on human visual perception. Its application in software engineering allows us to process information much quicker than in solely textual form. In this talk I will explain which laws for visually encoding/decoding information exist and how they are utilized by existing software visualizations to display different aspects of a software system. Then I will show how we applied this research to interactive source code navigation within Sourcetrail, a source explorer built on top of the LLVM/Clang LibTooling and Eclipse JDT Core libraries. The aim of this talk is to provide an overview of existing software visualization approaches and demonstrate their benefits and limits in day-to-day software development.
---------------------
Eberhard ...
What do you see?
The static source code visualization of notepad++. The bundles represent the static call relations.
The height of function pienodes represents the number of calls between certain items of interest.
published: 14 Mar 2010
Dijkstra's Algorithm Search Visualization for UofT ECE297 2021 Team 19 Software Project
Dijkstra's Algorithm Search Visualization for UofT E297 2021 Team 19 Software Project. Delay was added so the search could be properly visualized using the std::chrono library. Team consists of Nicholas Heeralal, Vishnu Armoogam and Samuel Lalla
published: 19 Apr 2021
AR Software Visualization: SkyscrapAR
Software visualization with augmented reality. Created by Rodrigo Souza and Bruno Carreiro for a software visualization course at Federal University of Bahia, Brazil, taught by professor Manoel Mendonça.
Inspired by CodeCity, by Richard Wettel and Michele Lanza from University of Lugano, Switzerland.
Source code at https://github.com/rodrigorgs/SkyscrapAR
published: 20 May 2012
How to Install Tableau and Create First Visualization | Tableau Tutorials for Beginners
Check out my Full Tableau Course Here: https://www.analystbuilder.com/courses/tableau-for-data-visualization
This is our first of 5 tutorials on Tableau. In this series we will learn the UI of tableau as well as how to effectively create visualizations and dashboards.
Tableau Download: https://public.tableau.com/en-us/s/download
Dataset: https://www.kaggle.com/gregorut/videogamesales
Favorite Tableau Courses:
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN
Tableau A-Z - http://bit.ly/385lYvN
____________________________________________
SUBSCRIBE!
Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to...
published: 21 Sep 2021
Visualization Software: Deliver Information quickly and effectively (Part 1)
This brief (15 minute) demo explains what data visualization is and why it is essential for today's business applications. We will review a variety of advanced visualization display technique and introduce IBM's data visualization products as a means to create these displays. Numerous user interface screen shots and interactive product demos are used throughout the presentation.
Part 2:
http://www.youtube.com/watch?v=YaiX2UQwhEk
published: 05 Mar 2010
Apache Superset vs Metabase: Which is the better open source Data visualization tool?
#opensourcebattles
This video compares an open source giant Apache Superset with a light weight open source data visualization tool Metabase to find out which one would you use in your data pipelines.
00:00 Intro
00:21 Apache Superset Overview
01:04 Metabase Overview
01:39 Similarities
02:15 Superset Benefits
02:53 Metabase Benefits
03:29 Conclusion
Read the detailed comparison on our blog [[https://www.restack.io/docs/superset-vs-metabase](https://www.restack.io/docs/superset-vs-metabase)]
Try Apache Superset on Restack at [https://www.restack.io/products/superset]
Try Metabase on Restack at [[https://www.restack.io/products/metabase](https://www.restack.io/products/metabase)]
published: 05 Jan 2023
Introduction - Data Visualization Software | Part 1
Hello everyone,
Here's an introduction of the Data Visualization Software created using Python.This video explains the working of the software. Further in this playlist, we will cover the different files created for this software.
Link for Diamonds.csv: https://www.kaggle.com/datasets/shivam2503/diamonds
Link for GitHub Repository: https://github.com/TanishqT7/Minor-Project---Data-Visualization-Software
I am open to all suggestions and improvements, so feel free to post in the comment section. For more videos, do subscribe!
This software was a part of my minor project for my 3rd semester. Hope you find this helpful as well.
Here are bets data visualization tools:
1. Microsoft Power Bi
▶ Try Microsoft Power Bi: https://businessolution.org/get/microsoft-power-bi/
2. Databox
▶ Try Da...
Here are bets data visualization tools:
1. Microsoft Power Bi
▶ Try Microsoft Power Bi: https://businessolution.org/get/microsoft-power-bi/
2. Databox
▶ Try DataBox (free plan): https://businessolution.org/get/databox/
3. Tableu Desktop
▶ Try Tableu: https://businessolution.org/get/tableau/
4. Visme
▶ Try Visme (free plan): https://businessolution.org/get/visme/
5. Zoho Analytics
▶ Try Zoho Analytics: https://businessolution.org/get/zoho-analytics/
6. Looker Studio
▶ Try Looker Studio: https://businessolution.org/get/google-cloud/
7. Lucidchart
▶ Try Lucidchart: https://businessolution.org/get/lucidchart/
Timestamps:
0:00 – Data Visualization Tools
0:26 – Microsoft Power Bi
3:41 – DataBox
6:34 – Tableau Desktop
8:28 – Visme
9:56 – Zoho Analytics
11:35 – Looker Studio
13:20 – Lucidchart
In today's data-driven world, the ability to effectively communicate complex information is more crucial than ever. Enter data visualization tools - the unsung heroes of transforming raw data into compelling visual stories that captivate audiences and drive informed decision-making. From colorful charts and interactive graphs to dynamic dashboards and immersive maps, these tools offer a powerful way to unlock hidden insights buried within vast datasets. Imagine being able to uncover trends, patterns, and correlations at a glance, all with just a few clicks of a mouse. Whether you're a business analyst seeking to present quarterly sales figures or a researcher exploring global climate patterns, data visualization tools are your gateway to unlocking the true potential of your data. Join us on a journey through the exciting world of data visualization as we explore how these innovative tools are reshaping the way we interact with information in the digital age.
Here are bets data visualization tools:
1. Microsoft Power Bi
▶ Try Microsoft Power Bi: https://businessolution.org/get/microsoft-power-bi/
2. Databox
▶ Try DataBox (free plan): https://businessolution.org/get/databox/
3. Tableu Desktop
▶ Try Tableu: https://businessolution.org/get/tableau/
4. Visme
▶ Try Visme (free plan): https://businessolution.org/get/visme/
5. Zoho Analytics
▶ Try Zoho Analytics: https://businessolution.org/get/zoho-analytics/
6. Looker Studio
▶ Try Looker Studio: https://businessolution.org/get/google-cloud/
7. Lucidchart
▶ Try Lucidchart: https://businessolution.org/get/lucidchart/
Timestamps:
0:00 – Data Visualization Tools
0:26 – Microsoft Power Bi
3:41 – DataBox
6:34 – Tableau Desktop
8:28 – Visme
9:56 – Zoho Analytics
11:35 – Looker Studio
13:20 – Lucidchart
In today's data-driven world, the ability to effectively communicate complex information is more crucial than ever. Enter data visualization tools - the unsung heroes of transforming raw data into compelling visual stories that captivate audiences and drive informed decision-making. From colorful charts and interactive graphs to dynamic dashboards and immersive maps, these tools offer a powerful way to unlock hidden insights buried within vast datasets. Imagine being able to uncover trends, patterns, and correlations at a glance, all with just a few clicks of a mouse. Whether you're a business analyst seeking to present quarterly sales figures or a researcher exploring global climate patterns, data visualization tools are your gateway to unlocking the true potential of your data. Join us on a journey through the exciting world of data visualization as we explore how these innovative tools are reshaping the way we interact with information in the digital age.
#C++ #Clang #AccuConf
Visualization leverages research on human visual perception. Its application in software engineering allows us to process information muc...
#C++ #Clang #AccuConf
Visualization leverages research on human visual perception. Its application in software engineering allows us to process information much quicker than in solely textual form. In this talk I will explain which laws for visually encoding/decoding information exist and how they are utilized by existing software visualizations to display different aspects of a software system. Then I will show how we applied this research to interactive source code navigation within Sourcetrail, a source explorer built on top of the LLVM/Clang LibTooling and Eclipse JDT Core libraries. The aim of this talk is to provide an overview of existing software visualization approaches and demonstrate their benefits and limits in day-to-day software development.
---------------------
Eberhard Gräther is software developer, user experience designer and founder at Coati Software. He started programming C++ in his undergraduate CS degree at Salzburg University of Applied Sciences, majoring in game development. During multiple internships in the Google Chrome Graphics and Performance Teams he worked on tools for rendering performance analysis. He then specialized in Human Computer Interaction and developer tooling during a Master’s degree, where he started working on Sourcetrail, a cross-platform source explorer for faster understanding of unfamiliar source code.
-------------------------
Future Conferences:
ACCU 2019 Autumn Conference, Belfast (UK):
2019-11-11 and 2019-11-12.
ACCU 2020 Spring Conference, Bristol (UK), Marriott City Centre:
2020-03-24 to 2020-03-28.
-------------------------
ACCU Website: www.accu.org
ACCU Conference Website: conference.accu.org
ACCU Twitter: @ACCUConf
ACCU YouTube: https://www.youtube.com/c/ACCUConf
Filmed and Edited by Digital Medium Ltd - events.digital-medium.co.uk
Contact: [email protected]
#C++ #Clang #AccuConf
Visualization leverages research on human visual perception. Its application in software engineering allows us to process information much quicker than in solely textual form. In this talk I will explain which laws for visually encoding/decoding information exist and how they are utilized by existing software visualizations to display different aspects of a software system. Then I will show how we applied this research to interactive source code navigation within Sourcetrail, a source explorer built on top of the LLVM/Clang LibTooling and Eclipse JDT Core libraries. The aim of this talk is to provide an overview of existing software visualization approaches and demonstrate their benefits and limits in day-to-day software development.
---------------------
Eberhard Gräther is software developer, user experience designer and founder at Coati Software. He started programming C++ in his undergraduate CS degree at Salzburg University of Applied Sciences, majoring in game development. During multiple internships in the Google Chrome Graphics and Performance Teams he worked on tools for rendering performance analysis. He then specialized in Human Computer Interaction and developer tooling during a Master’s degree, where he started working on Sourcetrail, a cross-platform source explorer for faster understanding of unfamiliar source code.
-------------------------
Future Conferences:
ACCU 2019 Autumn Conference, Belfast (UK):
2019-11-11 and 2019-11-12.
ACCU 2020 Spring Conference, Bristol (UK), Marriott City Centre:
2020-03-24 to 2020-03-28.
-------------------------
ACCU Website: www.accu.org
ACCU Conference Website: conference.accu.org
ACCU Twitter: @ACCUConf
ACCU YouTube: https://www.youtube.com/c/ACCUConf
Filmed and Edited by Digital Medium Ltd - events.digital-medium.co.uk
Contact: [email protected]
What do you see?
The static source code visualization of notepad++. The bundles represent the static call relations.
The height of function pienodes represe...
What do you see?
The static source code visualization of notepad++. The bundles represent the static call relations.
The height of function pienodes represents the number of calls between certain items of interest.
What do you see?
The static source code visualization of notepad++. The bundles represent the static call relations.
The height of function pienodes represents the number of calls between certain items of interest.
Dijkstra's Algorithm Search Visualization for UofT E297 2021 Team 19 Software Project. Delay was added so the search could be properly visualized using the std:...
Dijkstra's Algorithm Search Visualization for UofT E297 2021 Team 19 Software Project. Delay was added so the search could be properly visualized using the std::chrono library. Team consists of Nicholas Heeralal, Vishnu Armoogam and Samuel Lalla
Dijkstra's Algorithm Search Visualization for UofT E297 2021 Team 19 Software Project. Delay was added so the search could be properly visualized using the std::chrono library. Team consists of Nicholas Heeralal, Vishnu Armoogam and Samuel Lalla
Software visualization with augmented reality. Created by Rodrigo Souza and Bruno Carreiro for a software visualization course at Federal University of Bahia, B...
Software visualization with augmented reality. Created by Rodrigo Souza and Bruno Carreiro for a software visualization course at Federal University of Bahia, Brazil, taught by professor Manoel Mendonça.
Inspired by CodeCity, by Richard Wettel and Michele Lanza from University of Lugano, Switzerland.
Source code at https://github.com/rodrigorgs/SkyscrapAR
Software visualization with augmented reality. Created by Rodrigo Souza and Bruno Carreiro for a software visualization course at Federal University of Bahia, Brazil, taught by professor Manoel Mendonça.
Inspired by CodeCity, by Richard Wettel and Michele Lanza from University of Lugano, Switzerland.
Source code at https://github.com/rodrigorgs/SkyscrapAR
Check out my Full Tableau Course Here: https://www.analystbuilder.com/courses/tableau-for-data-visualization
This is our first of 5 tutorials on Tableau. In th...
Check out my Full Tableau Course Here: https://www.analystbuilder.com/courses/tableau-for-data-visualization
This is our first of 5 tutorials on Tableau. In this series we will learn the UI of tableau as well as how to effectively create visualizations and dashboards.
Tableau Download: https://public.tableau.com/en-us/s/download
Dataset: https://www.kaggle.com/gregorut/videogamesales
Favorite Tableau Courses:
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN
Tableau A-Z - http://bit.ly/385lYvN
____________________________________________
SUBSCRIBE!
Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content!
____________________________________________
RESOURCES:
Coursera Courses:
Google Data Analyst Certification: https://coursera.pxf.io/5bBd62
Data Analysis with Python - https://coursera.pxf.io/BXY3Wy
IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN
Udemy Courses:
Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX
Statistics for Data Science - https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
Tableau A-Z - http://bit.ly/385lYvN
*Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!*
____________________________________________
SUPPORT MY CHANNEL - PATREON/MERCH
Patreon Page - https://www.patreon.com/AlexTheAnalyst
Alex The Analyst Shop - https://teespring.com/stores/alex-the-analyst-shop
____________________________________________
Websites:
GitHub: https://github.com/AlexTheAnalyst
____________________________________________
*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*
Check out my Full Tableau Course Here: https://www.analystbuilder.com/courses/tableau-for-data-visualization
This is our first of 5 tutorials on Tableau. In this series we will learn the UI of tableau as well as how to effectively create visualizations and dashboards.
Tableau Download: https://public.tableau.com/en-us/s/download
Dataset: https://www.kaggle.com/gregorut/videogamesales
Favorite Tableau Courses:
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN
Tableau A-Z - http://bit.ly/385lYvN
____________________________________________
SUBSCRIBE!
Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content!
____________________________________________
RESOURCES:
Coursera Courses:
Google Data Analyst Certification: https://coursera.pxf.io/5bBd62
Data Analysis with Python - https://coursera.pxf.io/BXY3Wy
IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN
Udemy Courses:
Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX
Statistics for Data Science - https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
Tableau A-Z - http://bit.ly/385lYvN
*Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!*
____________________________________________
SUPPORT MY CHANNEL - PATREON/MERCH
Patreon Page - https://www.patreon.com/AlexTheAnalyst
Alex The Analyst Shop - https://teespring.com/stores/alex-the-analyst-shop
____________________________________________
Websites:
GitHub: https://github.com/AlexTheAnalyst
____________________________________________
*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*
This brief (15 minute) demo explains what data visualization is and why it is essential for today's business applications. We will review a variety of advanced ...
This brief (15 minute) demo explains what data visualization is and why it is essential for today's business applications. We will review a variety of advanced visualization display technique and introduce IBM's data visualization products as a means to create these displays. Numerous user interface screen shots and interactive product demos are used throughout the presentation.
Part 2:
http://www.youtube.com/watch?v=YaiX2UQwhEk
This brief (15 minute) demo explains what data visualization is and why it is essential for today's business applications. We will review a variety of advanced visualization display technique and introduce IBM's data visualization products as a means to create these displays. Numerous user interface screen shots and interactive product demos are used throughout the presentation.
Part 2:
http://www.youtube.com/watch?v=YaiX2UQwhEk
#opensourcebattles
This video compares an open source giant Apache Superset with a light weight open source data visualization tool Metabase to find out which o...
#opensourcebattles
This video compares an open source giant Apache Superset with a light weight open source data visualization tool Metabase to find out which one would you use in your data pipelines.
00:00 Intro
00:21 Apache Superset Overview
01:04 Metabase Overview
01:39 Similarities
02:15 Superset Benefits
02:53 Metabase Benefits
03:29 Conclusion
Read the detailed comparison on our blog [[https://www.restack.io/docs/superset-vs-metabase](https://www.restack.io/docs/superset-vs-metabase)]
Try Apache Superset on Restack at [https://www.restack.io/products/superset]
Try Metabase on Restack at [[https://www.restack.io/products/metabase](https://www.restack.io/products/metabase)]
#opensourcebattles
This video compares an open source giant Apache Superset with a light weight open source data visualization tool Metabase to find out which one would you use in your data pipelines.
00:00 Intro
00:21 Apache Superset Overview
01:04 Metabase Overview
01:39 Similarities
02:15 Superset Benefits
02:53 Metabase Benefits
03:29 Conclusion
Read the detailed comparison on our blog [[https://www.restack.io/docs/superset-vs-metabase](https://www.restack.io/docs/superset-vs-metabase)]
Try Apache Superset on Restack at [https://www.restack.io/products/superset]
Try Metabase on Restack at [[https://www.restack.io/products/metabase](https://www.restack.io/products/metabase)]
Hello everyone,
Here's an introduction of the Data Visualization Software created using Python.This video explains the working of the software. Further in this...
Hello everyone,
Here's an introduction of the Data Visualization Software created using Python.This video explains the working of the software. Further in this playlist, we will cover the different files created for this software.
Link for Diamonds.csv: https://www.kaggle.com/datasets/shivam2503/diamonds
Link for GitHub Repository: https://github.com/TanishqT7/Minor-Project---Data-Visualization-Software
I am open to all suggestions and improvements, so feel free to post in the comment section. For more videos, do subscribe!
This software was a part of my minor project for my 3rd semester. Hope you find this helpful as well.
Hello everyone,
Here's an introduction of the Data Visualization Software created using Python.This video explains the working of the software. Further in this playlist, we will cover the different files created for this software.
Link for Diamonds.csv: https://www.kaggle.com/datasets/shivam2503/diamonds
Link for GitHub Repository: https://github.com/TanishqT7/Minor-Project---Data-Visualization-Software
I am open to all suggestions and improvements, so feel free to post in the comment section. For more videos, do subscribe!
This software was a part of my minor project for my 3rd semester. Hope you find this helpful as well.
Here are bets data visualization tools:
1. Microsoft Power Bi
▶ Try Microsoft Power Bi: https://businessolution.org/get/microsoft-power-bi/
2. Databox
▶ Try DataBox (free plan): https://businessolution.org/get/databox/
3. Tableu Desktop
▶ Try Tableu: https://businessolution.org/get/tableau/
4. Visme
▶ Try Visme (free plan): https://businessolution.org/get/visme/
5. Zoho Analytics
▶ Try Zoho Analytics: https://businessolution.org/get/zoho-analytics/
6. Looker Studio
▶ Try Looker Studio: https://businessolution.org/get/google-cloud/
7. Lucidchart
▶ Try Lucidchart: https://businessolution.org/get/lucidchart/
Timestamps:
0:00 – Data Visualization Tools
0:26 – Microsoft Power Bi
3:41 – DataBox
6:34 – Tableau Desktop
8:28 – Visme
9:56 – Zoho Analytics
11:35 – Looker Studio
13:20 – Lucidchart
In today's data-driven world, the ability to effectively communicate complex information is more crucial than ever. Enter data visualization tools - the unsung heroes of transforming raw data into compelling visual stories that captivate audiences and drive informed decision-making. From colorful charts and interactive graphs to dynamic dashboards and immersive maps, these tools offer a powerful way to unlock hidden insights buried within vast datasets. Imagine being able to uncover trends, patterns, and correlations at a glance, all with just a few clicks of a mouse. Whether you're a business analyst seeking to present quarterly sales figures or a researcher exploring global climate patterns, data visualization tools are your gateway to unlocking the true potential of your data. Join us on a journey through the exciting world of data visualization as we explore how these innovative tools are reshaping the way we interact with information in the digital age.
#C++ #Clang #AccuConf
Visualization leverages research on human visual perception. Its application in software engineering allows us to process information much quicker than in solely textual form. In this talk I will explain which laws for visually encoding/decoding information exist and how they are utilized by existing software visualizations to display different aspects of a software system. Then I will show how we applied this research to interactive source code navigation within Sourcetrail, a source explorer built on top of the LLVM/Clang LibTooling and Eclipse JDT Core libraries. The aim of this talk is to provide an overview of existing software visualization approaches and demonstrate their benefits and limits in day-to-day software development.
---------------------
Eberhard Gräther is software developer, user experience designer and founder at Coati Software. He started programming C++ in his undergraduate CS degree at Salzburg University of Applied Sciences, majoring in game development. During multiple internships in the Google Chrome Graphics and Performance Teams he worked on tools for rendering performance analysis. He then specialized in Human Computer Interaction and developer tooling during a Master’s degree, where he started working on Sourcetrail, a cross-platform source explorer for faster understanding of unfamiliar source code.
-------------------------
Future Conferences:
ACCU 2019 Autumn Conference, Belfast (UK):
2019-11-11 and 2019-11-12.
ACCU 2020 Spring Conference, Bristol (UK), Marriott City Centre:
2020-03-24 to 2020-03-28.
-------------------------
ACCU Website: www.accu.org
ACCU Conference Website: conference.accu.org
ACCU Twitter: @ACCUConf
ACCU YouTube: https://www.youtube.com/c/ACCUConf
Filmed and Edited by Digital Medium Ltd - events.digital-medium.co.uk
Contact: [email protected]
What do you see?
The static source code visualization of notepad++. The bundles represent the static call relations.
The height of function pienodes represents the number of calls between certain items of interest.
Dijkstra's Algorithm Search Visualization for UofT E297 2021 Team 19 Software Project. Delay was added so the search could be properly visualized using the std::chrono library. Team consists of Nicholas Heeralal, Vishnu Armoogam and Samuel Lalla
Software visualization with augmented reality. Created by Rodrigo Souza and Bruno Carreiro for a software visualization course at Federal University of Bahia, Brazil, taught by professor Manoel Mendonça.
Inspired by CodeCity, by Richard Wettel and Michele Lanza from University of Lugano, Switzerland.
Source code at https://github.com/rodrigorgs/SkyscrapAR
Check out my Full Tableau Course Here: https://www.analystbuilder.com/courses/tableau-for-data-visualization
This is our first of 5 tutorials on Tableau. In this series we will learn the UI of tableau as well as how to effectively create visualizations and dashboards.
Tableau Download: https://public.tableau.com/en-us/s/download
Dataset: https://www.kaggle.com/gregorut/videogamesales
Favorite Tableau Courses:
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN
Tableau A-Z - http://bit.ly/385lYvN
____________________________________________
SUBSCRIBE!
Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content!
____________________________________________
RESOURCES:
Coursera Courses:
Google Data Analyst Certification: https://coursera.pxf.io/5bBd62
Data Analysis with Python - https://coursera.pxf.io/BXY3Wy
IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN
Udemy Courses:
Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX
Statistics for Data Science - https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
Tableau A-Z - http://bit.ly/385lYvN
*Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!*
____________________________________________
SUPPORT MY CHANNEL - PATREON/MERCH
Patreon Page - https://www.patreon.com/AlexTheAnalyst
Alex The Analyst Shop - https://teespring.com/stores/alex-the-analyst-shop
____________________________________________
Websites:
GitHub: https://github.com/AlexTheAnalyst
____________________________________________
*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*
This brief (15 minute) demo explains what data visualization is and why it is essential for today's business applications. We will review a variety of advanced visualization display technique and introduce IBM's data visualization products as a means to create these displays. Numerous user interface screen shots and interactive product demos are used throughout the presentation.
Part 2:
http://www.youtube.com/watch?v=YaiX2UQwhEk
#opensourcebattles
This video compares an open source giant Apache Superset with a light weight open source data visualization tool Metabase to find out which one would you use in your data pipelines.
00:00 Intro
00:21 Apache Superset Overview
01:04 Metabase Overview
01:39 Similarities
02:15 Superset Benefits
02:53 Metabase Benefits
03:29 Conclusion
Read the detailed comparison on our blog [[https://www.restack.io/docs/superset-vs-metabase](https://www.restack.io/docs/superset-vs-metabase)]
Try Apache Superset on Restack at [https://www.restack.io/products/superset]
Try Metabase on Restack at [[https://www.restack.io/products/metabase](https://www.restack.io/products/metabase)]
Hello everyone,
Here's an introduction of the Data Visualization Software created using Python.This video explains the working of the software. Further in this playlist, we will cover the different files created for this software.
Link for Diamonds.csv: https://www.kaggle.com/datasets/shivam2503/diamonds
Link for GitHub Repository: https://github.com/TanishqT7/Minor-Project---Data-Visualization-Software
I am open to all suggestions and improvements, so feel free to post in the comment section. For more videos, do subscribe!
This software was a part of my minor project for my 3rd semester. Hope you find this helpful as well.
Software visualization or software visualisation refers to the visualization of information of and related to software systems -either the architecture of its source code or metrics of their runtime behavior- and their development process by means of static, interactive or animated 2-D or 3-D visual representations of their structure, execution, behavior, and evolution.
Software system information
Software visualization uses a variety of information available about software systems. Key information categories include:
The objectives of software visualization are to support the understanding of software systems (i.e., its structure) and algorithms (e.g., by animating the behavior of sorting algorithms) as well as the analysis and exploration of software systems and their anomalies (e.g., by showing classes with high coupling) and their development and evolution. One of the strengths of software visualization is to combine and relate information of software systems that are not inherently linked, for example by projecting code changes onto software execution traces.
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