NY R Conference talk
•Download as PPTX, PDF•
1 like•703 views
This document summarizes Emily Robinson's talk on the lesser known parts of the tidyverse. The talk goals were to introduce tidyverse terminology, prevent common problems, and share useful functions. The tidyverse is introduced as a coherent system of R packages that share a design philosophy. Common data analysis steps like viewing data, inspecting missing values, and making plots are demonstrated. Solutions to problems in these steps like printing only a subset of data, replacing values with NAs, ordering factors, and creating reproducible examples are presented. Useful tidyverse functions introduced include as_tibble(), select_if(), na_if(), str_split(), unnest(), coord_flip(), fct_reorder(), and reprex(). Resources like R
Report
Share
Report
Share
Recommended
The Lesser Known Stars of the Tidyverse
These are my slides for my RStudio::conf presentation on February 2, 2018. Recording of the talk will be available soon.
Building an A/B Testing Analytics System with R and Shiny
1. The document discusses building an A/B testing analytics system with R and Shiny. It describes lessons learned like building tools to save time, anticipating problems, empowering others with accessible tools, and making it easy to follow best practices.
2. Tools developed include the funneljoin package to analyze user journeys, a dashboard to visualize experiment metrics, and an impact calculator to estimate detectable effects.
3. The system helped improve an experimentation process that previously lacked infrastructure by automating analyses and encouraging appropriate experiment design.
Introduction to r
This document provides an introduction to using R for statistical analysis and visualization. It discusses what R is, why it is useful, and 12 reasons to learn R. These include benefits like rigor in data analysis, reproducibility through scripting, access to cutting-edge statistical methods, powerful and customizable graphics, and that it is free and open-source. The document then provides resources for learning R, including tutorials, packages of interest, and how to download the software. It concludes with exercises walking through basic R concepts like vectors, matrices, data frames, importing data from a CSV file, subsetting data, and simple plotting.
Getting started with R
Getting started with RCCAFS | CGIAR Research Program on Climate Change, Agriculture and Food Security
Presentation by Jacob van Etten.
CCAFS workshop titled "Using Climate Scenarios and Analogues for Designing Adaptation Strategies in Agriculture," 19-23 September in Kathmandu, Nepal. Object Calisthenics
Object Calisthenics proposes 9 steps to improve object-oriented design and code quality, including having only one level of indentation per method, avoiding else keywords, wrapping primitive types in objects, using first class collections, limiting accessor methods, and keeping classes and methods small. The goals are to better implement encapsulation, use polymorphism appropriately, and avoid duplicated code and ideas to make software more maintainable and readable.
Distributed processing of large graphs in python
Graph theory could potentially make a big impact on how we conduct businesses. Imagine the case where you wish to maximize the reach of your promotion via leveraging your customers' influence, to advocate your products and bring their friends on board. The same logic of harnessing one's networks can be applied to purchase recommendation, customer behavior, and fraud detection.
Running analyses on large graphs was not trivial for many companies - until recently. The field has made significant steps in the last five years and scalable graph computations are now the norm. You can now run graph computations out-of-core (no memory constraints) and in parallel (multiple machines), especially in Spark which is spreading like wildfire.
A lot of people are familiar with graphX, a pretty solid implementation of scalable graphs in Spark. GraphX is pretty interesting but the project seems to be orphaned. The good news is, there is now an alternative: Graphframes. They are a new data structure that takes the best parts of dataframes and graphs
In this talk, I will be explaining how to use Graphframes from Python, a new data structure in Spark 2.0 that takes the best parts of dataframes and graphs, with an example using personalized pagerank for recommendations.
The View - The top 30 Development tips
The document outlines 30 LotusScript tips that are divided into 3 sections - Nursery Slopes (10 fundamental tips), Everyday Tips (10 less well known tips), and Advanced Tips (10 tips to provoke thought) with the goal of helping LotusScript developers improve their skills and best practices.
Recommended
The Lesser Known Stars of the Tidyverse
These are my slides for my RStudio::conf presentation on February 2, 2018. Recording of the talk will be available soon.
Building an A/B Testing Analytics System with R and Shiny
1. The document discusses building an A/B testing analytics system with R and Shiny. It describes lessons learned like building tools to save time, anticipating problems, empowering others with accessible tools, and making it easy to follow best practices.
2. Tools developed include the funneljoin package to analyze user journeys, a dashboard to visualize experiment metrics, and an impact calculator to estimate detectable effects.
3. The system helped improve an experimentation process that previously lacked infrastructure by automating analyses and encouraging appropriate experiment design.
Introduction to r
This document provides an introduction to using R for statistical analysis and visualization. It discusses what R is, why it is useful, and 12 reasons to learn R. These include benefits like rigor in data analysis, reproducibility through scripting, access to cutting-edge statistical methods, powerful and customizable graphics, and that it is free and open-source. The document then provides resources for learning R, including tutorials, packages of interest, and how to download the software. It concludes with exercises walking through basic R concepts like vectors, matrices, data frames, importing data from a CSV file, subsetting data, and simple plotting.
Getting started with R
Getting started with RCCAFS | CGIAR Research Program on Climate Change, Agriculture and Food Security
Presentation by Jacob van Etten.
CCAFS workshop titled "Using Climate Scenarios and Analogues for Designing Adaptation Strategies in Agriculture," 19-23 September in Kathmandu, Nepal. Object Calisthenics
Object Calisthenics proposes 9 steps to improve object-oriented design and code quality, including having only one level of indentation per method, avoiding else keywords, wrapping primitive types in objects, using first class collections, limiting accessor methods, and keeping classes and methods small. The goals are to better implement encapsulation, use polymorphism appropriately, and avoid duplicated code and ideas to make software more maintainable and readable.
Distributed processing of large graphs in python
Graph theory could potentially make a big impact on how we conduct businesses. Imagine the case where you wish to maximize the reach of your promotion via leveraging your customers' influence, to advocate your products and bring their friends on board. The same logic of harnessing one's networks can be applied to purchase recommendation, customer behavior, and fraud detection.
Running analyses on large graphs was not trivial for many companies - until recently. The field has made significant steps in the last five years and scalable graph computations are now the norm. You can now run graph computations out-of-core (no memory constraints) and in parallel (multiple machines), especially in Spark which is spreading like wildfire.
A lot of people are familiar with graphX, a pretty solid implementation of scalable graphs in Spark. GraphX is pretty interesting but the project seems to be orphaned. The good news is, there is now an alternative: Graphframes. They are a new data structure that takes the best parts of dataframes and graphs
In this talk, I will be explaining how to use Graphframes from Python, a new data structure in Spark 2.0 that takes the best parts of dataframes and graphs, with an example using personalized pagerank for recommendations.
The View - The top 30 Development tips
The document outlines 30 LotusScript tips that are divided into 3 sections - Nursery Slopes (10 fundamental tips), Everyday Tips (10 less well known tips), and Advanced Tips (10 tips to provoke thought) with the goal of helping LotusScript developers improve their skills and best practices.
How To Contribute Drupalcon
This presentation discusses how anyone from a 'newbie' to a 'ninja' can get involved in Drupal.
Original session description:
This topic will be all about how to contribute to the Drupal community, in a number of different areas. While there'll be information for the hackers, even if you have only ever installed Drupal, you can help the project you know and love become even better.
Topics covered will include:
- Participation? Feh. What's in it for me?
- Community philosophy: Whys and Hows, Dos and Donts.
- Documentation: Helping other people not bash their heads against the same stuff you have.
- Helping with user support: Or, how to have a never-ending supply of clients.
- Maneuvering issue queues with speed and finesse.
- Patch review strategies that would make Dries proud.
- Taking control I: How to help get bugs fixed, and features in, even if you're not a coder.
- Taking control II: CVS, Patch, and how to use them to fix all that stuff you wish worked
Startup Data Science
This document discusses startup data science and provides an outline for a workshop on the topic. It introduces data science and describes how startups can use data to answer questions, rapidly prototype ideas, and create pitches. The workflow section explains how to tidy data to make it easy to transform, visualize, and model. It also lists some common data manipulation techniques like selecting, filtering, arranging, and mutating data. Finally, the document advertises additional resources for learning more about tools and techniques in Tableau, R, Python, and data visualization.
LECTURE 6 DESIGN, DEBasd, INTERFACES.pdf
The document discusses a Java programming course that covers good program design principles like consistency, naming conventions, and class design. It then covers debugging techniques like testing important cases, using assertions, and reproducing errors. Finally, it discusses interfaces and how they allow different classes to share a common drawing method. Classes like BouncingBox and Flower can both be added to a Drawable interface to be drawn.
2022 - Delivering Powerful Technical Presentations.pdf
Delivering Powerful Technical Presentations
Giving a technical talk that seems completely natural, flows, and is deeply impactful is no accident. While it’s true there are those rare people who may have the ability to make it seem like they have a shortcut to the work, countless others will tell you there is no substitution for preparation, practice, and thought (and maybe the application of a few tips learned along the way).
For the last six years, I’ve had the privilege to chair technical software conferences in San Francisco, New York, and London. In Delivering Powerful Technical Presentations, I lean on that experience along with the patterns and practices for delivering technical talks found in Presentation Patterns: Techniques for Crafting Better Presentations.
You can expect discussion around:
* How to maximize your prep time and use deliberate practice
* Know your audience and techniques to engage them
* Patterns and anti-patterns of giving online technical talks
Whether you’re giving a technical presentation for the first time or your hundredth time, you will have questions and the more you know, the more comfortable you’ll be. The focus of the talk is to help you on your journey.
LECTURE 6 DESIGN, DEBUGGING, INTERFACES.pdf
The document discusses program design principles for the Java programming language. It covers topics like debugging, interfaces, and object-oriented design. Specifically, it provides examples of using interfaces to allow different types of objects to be drawn uniformly. The Drawable interface defines a common draw method that classes like BouncingBox and Flower can implement to allow their objects to be drawn without needing to know their specific types. This provides flexibility and code reuse.
Developing in R - the contextual Multi-Armed Bandit edition
The document discusses R package development. It covers that R is dominant in statistics research and is an interpreted language. It also supports multiple programming paradigms like imperative, functional and object oriented programming. It discusses different class systems in R like S3, S4 and the newer R6 class. It emphasizes that R6 class provides a better approach. The document also highlights the importance of skills like semantic development skills, syntactic development skills and domain knowledge for R development.
The Essential Perl Hacker's Toolkit
A whirlwind tour of the modules that any perl hacker, from beginner to experienced, should use and why.
Handout: List of modules in the talk along with many more: https://sites.google.com/site/perlhercynium/TEPHT-List2.pdf?attredirects=0
Lotusphere 2007 AD505 DevBlast 30 LotusScript Tips
This document outlines an agenda for a talk titled "AD505 DevBlast – 30 LotusScript Tips". The talk aims to provide 30 LotusScript tips organized into three sections: Nursery Slopes (10 fundamental tips), Everyday Tips (10 less well known tips), and Advanced Tips (10 tips to provoke thought). The introduction provides background on the speaker and explains the goal of sharing 30 tips using the "Lazy Programmer" methodology of breaking problems into manageable pieces.
2014 pycon-talk
This document summarizes challenges in assembling large DNA sequence data sets and strategies to address them.
1. The cost to generate DNA sequence data is decreasing rapidly, creating data sets too large for most computers to assemble. Hundreds to thousands of such data sets are generated each year.
2. Techniques like streaming compression and low-memory probabilistic data structures allow assembly memory usage to scale linearly with the sample size rather than the total data, enabling assembly of larger datasets.
3. Benchmarking different computational platforms revealed that while some platforms have faster processors, the ability to store large amounts of data locally is also important for assembly tasks. Scaling algorithms, rather than just optimizing code, is key to addressing
Don't let your tests slow you down
Do your unit tests feel like a chore to maintain? Are they sometimes useful but come with a high maintenance cost? Do you secretly believe you’d work faster without them there? A great test suite should help speed up your development process, not slow you down. This talk highlights some techniques you can use to improve the front-end unit tests you write.
Final grasp ASE
The document discusses several GRASP patterns - Information Expert, Creator, High Cohesion, Low Coupling, and Controller - for assigning responsibilities to classes in a system. It provides examples of applying each pattern, including having the Catalog class be responsible for getting resources by call number since it is the information expert, having the Catalog create Book objects since it closely uses and initializes them, and assigning responsibilities to a Controller class like the System class to handle external events without doing the work itself.
Applying an intersectionality lens in data science
This document provides an overview of applying an intersectionality lens in data science. It begins with defining intersectionality and explaining why it is important in data science. The rest of the document uses examples to illustrate how to apply an intersectionality perspective throughout the data science process, from problem definition and data collection to analysis, delivery and evaluation of results. It emphasizes avoiding assumptions, collecting data equitably, analyzing with care and presenting findings objectively. The document concludes by providing action steps for applying lessons around intersectionality to work.
Ad505 dev blast
This document outlines an agenda for a talk on 30 LotusScript tips. It begins with an introduction that explains the structure of the talk and why it will cover 30 tips. The agenda is then broken into sections on fundamental tips ("Nursery Slopes"), less well known everyday tips, and more advanced tips to provoke thought. Each section provides 10 tips on topics like using Option Declare, templates and versions, error handling, classes, and performance coding. The document aims to share a variety of LotusScript best practices and techniques.
Unicorn or Rhino? Agility in the Data Realm?
What is that uniquely horned creature over there? Unicorn? Rhino? Our Data? As the world of “Data” is growing more and more, so are the technologies and tools around it continuing to advance and improve. Inevitably this also means the struggles and problems around it are also going to increase as well though. Thankfully these are usually not completely new and in fact tend to be very similar to other scenarios we’ve seen and solved for in the past. In this session we’ll explore the adoption of agile, lean & craft processes/practices within our data realms to seek solution to these new and growing concerns.
Qualitative Data Analysis using NVivo10 - A workshop for facilitators
Qualitative Data Analysis using NVivo10 - A workshop for facilitatorsBrenda Cecilia Padilla Rodríguez
This is the presentation I used to train facilitators of NVivo workshops at the University of Northampton. Feel free to use and share!Five Ways To Do Data Analytics "The Wrong Way"
The document discusses various approaches to data analytics and common pitfalls. It provides examples of recommendation systems at Netflix and Pandora that achieved success by focusing on the business goals rather than just the technology. It also warns against complexifying systems and architectures unnecessarily over time and refusing to remove outdated components. Overall it advocates embracing complexity but also avoiding duct tape solutions, and designing systems with the intended use and business goals in mind rather than getting attached to specific technologies.
How To Contribute To Drupal Drupal - DrupalCon Paris
The document outlines various ways that anyone can contribute to Drupal, from beginner to advanced levels, in order to become a "Drupal ninja". It encourages advocacy, translations, graphics work, reporting issues, providing feedback, helping with user support, improving documentation, filing bug reports and feature requests, testing and reviewing patches, mentoring others, organizing development efforts, and contributing code, themes and modules. The document emphasizes that contributing can help save time and money for businesses, attract better developers, and allow direct input into the project's direction, while also making individuals better programmers.
Data Visualization: A Quick Tour for Data Science Enthusiasts
This was a talk given at Chulalongkorn University in Bangkok, Thailand on January 16, 2015 as a part of CodeMania X2 "Data Science 101"
Data Visualization
This document provides a tour of data visualization and its relationship to data science. It discusses how visualization can turn data into valuable insights through exploratory data analysis and storytelling. Examples are given of how visualization has been used at Twitter to analyze Ballon d'Or voting data, New Year's tweets, user activity logs, and user sessions to glean insights. Visualization is described as taking data and turning it into visual displays and interactive tools to help audiences understand large amounts of information and for communicating known facts or exploring data.
Beginner's Guide to UI Design
This document provides a beginner's guide to UI design with an overview of the key steps: research goals and users, sketch screen flows and designs, test designs through 5-minute usability studies, and finalize the design. It outlines how to define the research project, understand users and their tasks, research the domain knowledge, sketch screen flows and individual screen designs. It also provides recommendations for testing early mockups and lists resources for further research on each step of the process.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
More Related Content
Similar to NY R Conference talk
How To Contribute Drupalcon
This presentation discusses how anyone from a 'newbie' to a 'ninja' can get involved in Drupal.
Original session description:
This topic will be all about how to contribute to the Drupal community, in a number of different areas. While there'll be information for the hackers, even if you have only ever installed Drupal, you can help the project you know and love become even better.
Topics covered will include:
- Participation? Feh. What's in it for me?
- Community philosophy: Whys and Hows, Dos and Donts.
- Documentation: Helping other people not bash their heads against the same stuff you have.
- Helping with user support: Or, how to have a never-ending supply of clients.
- Maneuvering issue queues with speed and finesse.
- Patch review strategies that would make Dries proud.
- Taking control I: How to help get bugs fixed, and features in, even if you're not a coder.
- Taking control II: CVS, Patch, and how to use them to fix all that stuff you wish worked
Startup Data Science
This document discusses startup data science and provides an outline for a workshop on the topic. It introduces data science and describes how startups can use data to answer questions, rapidly prototype ideas, and create pitches. The workflow section explains how to tidy data to make it easy to transform, visualize, and model. It also lists some common data manipulation techniques like selecting, filtering, arranging, and mutating data. Finally, the document advertises additional resources for learning more about tools and techniques in Tableau, R, Python, and data visualization.
LECTURE 6 DESIGN, DEBasd, INTERFACES.pdf
The document discusses a Java programming course that covers good program design principles like consistency, naming conventions, and class design. It then covers debugging techniques like testing important cases, using assertions, and reproducing errors. Finally, it discusses interfaces and how they allow different classes to share a common drawing method. Classes like BouncingBox and Flower can both be added to a Drawable interface to be drawn.
2022 - Delivering Powerful Technical Presentations.pdf
Delivering Powerful Technical Presentations
Giving a technical talk that seems completely natural, flows, and is deeply impactful is no accident. While it’s true there are those rare people who may have the ability to make it seem like they have a shortcut to the work, countless others will tell you there is no substitution for preparation, practice, and thought (and maybe the application of a few tips learned along the way).
For the last six years, I’ve had the privilege to chair technical software conferences in San Francisco, New York, and London. In Delivering Powerful Technical Presentations, I lean on that experience along with the patterns and practices for delivering technical talks found in Presentation Patterns: Techniques for Crafting Better Presentations.
You can expect discussion around:
* How to maximize your prep time and use deliberate practice
* Know your audience and techniques to engage them
* Patterns and anti-patterns of giving online technical talks
Whether you’re giving a technical presentation for the first time or your hundredth time, you will have questions and the more you know, the more comfortable you’ll be. The focus of the talk is to help you on your journey.
LECTURE 6 DESIGN, DEBUGGING, INTERFACES.pdf
The document discusses program design principles for the Java programming language. It covers topics like debugging, interfaces, and object-oriented design. Specifically, it provides examples of using interfaces to allow different types of objects to be drawn uniformly. The Drawable interface defines a common draw method that classes like BouncingBox and Flower can implement to allow their objects to be drawn without needing to know their specific types. This provides flexibility and code reuse.
Developing in R - the contextual Multi-Armed Bandit edition
The document discusses R package development. It covers that R is dominant in statistics research and is an interpreted language. It also supports multiple programming paradigms like imperative, functional and object oriented programming. It discusses different class systems in R like S3, S4 and the newer R6 class. It emphasizes that R6 class provides a better approach. The document also highlights the importance of skills like semantic development skills, syntactic development skills and domain knowledge for R development.
The Essential Perl Hacker's Toolkit
A whirlwind tour of the modules that any perl hacker, from beginner to experienced, should use and why.
Handout: List of modules in the talk along with many more: https://sites.google.com/site/perlhercynium/TEPHT-List2.pdf?attredirects=0
Lotusphere 2007 AD505 DevBlast 30 LotusScript Tips
This document outlines an agenda for a talk titled "AD505 DevBlast – 30 LotusScript Tips". The talk aims to provide 30 LotusScript tips organized into three sections: Nursery Slopes (10 fundamental tips), Everyday Tips (10 less well known tips), and Advanced Tips (10 tips to provoke thought). The introduction provides background on the speaker and explains the goal of sharing 30 tips using the "Lazy Programmer" methodology of breaking problems into manageable pieces.
2014 pycon-talk
This document summarizes challenges in assembling large DNA sequence data sets and strategies to address them.
1. The cost to generate DNA sequence data is decreasing rapidly, creating data sets too large for most computers to assemble. Hundreds to thousands of such data sets are generated each year.
2. Techniques like streaming compression and low-memory probabilistic data structures allow assembly memory usage to scale linearly with the sample size rather than the total data, enabling assembly of larger datasets.
3. Benchmarking different computational platforms revealed that while some platforms have faster processors, the ability to store large amounts of data locally is also important for assembly tasks. Scaling algorithms, rather than just optimizing code, is key to addressing
Don't let your tests slow you down
Do your unit tests feel like a chore to maintain? Are they sometimes useful but come with a high maintenance cost? Do you secretly believe you’d work faster without them there? A great test suite should help speed up your development process, not slow you down. This talk highlights some techniques you can use to improve the front-end unit tests you write.
Final grasp ASE
The document discusses several GRASP patterns - Information Expert, Creator, High Cohesion, Low Coupling, and Controller - for assigning responsibilities to classes in a system. It provides examples of applying each pattern, including having the Catalog class be responsible for getting resources by call number since it is the information expert, having the Catalog create Book objects since it closely uses and initializes them, and assigning responsibilities to a Controller class like the System class to handle external events without doing the work itself.
Applying an intersectionality lens in data science
This document provides an overview of applying an intersectionality lens in data science. It begins with defining intersectionality and explaining why it is important in data science. The rest of the document uses examples to illustrate how to apply an intersectionality perspective throughout the data science process, from problem definition and data collection to analysis, delivery and evaluation of results. It emphasizes avoiding assumptions, collecting data equitably, analyzing with care and presenting findings objectively. The document concludes by providing action steps for applying lessons around intersectionality to work.
Ad505 dev blast
This document outlines an agenda for a talk on 30 LotusScript tips. It begins with an introduction that explains the structure of the talk and why it will cover 30 tips. The agenda is then broken into sections on fundamental tips ("Nursery Slopes"), less well known everyday tips, and more advanced tips to provoke thought. Each section provides 10 tips on topics like using Option Declare, templates and versions, error handling, classes, and performance coding. The document aims to share a variety of LotusScript best practices and techniques.
Unicorn or Rhino? Agility in the Data Realm?
What is that uniquely horned creature over there? Unicorn? Rhino? Our Data? As the world of “Data” is growing more and more, so are the technologies and tools around it continuing to advance and improve. Inevitably this also means the struggles and problems around it are also going to increase as well though. Thankfully these are usually not completely new and in fact tend to be very similar to other scenarios we’ve seen and solved for in the past. In this session we’ll explore the adoption of agile, lean & craft processes/practices within our data realms to seek solution to these new and growing concerns.
Qualitative Data Analysis using NVivo10 - A workshop for facilitators
Qualitative Data Analysis using NVivo10 - A workshop for facilitatorsBrenda Cecilia Padilla Rodríguez
This is the presentation I used to train facilitators of NVivo workshops at the University of Northampton. Feel free to use and share!Five Ways To Do Data Analytics "The Wrong Way"
The document discusses various approaches to data analytics and common pitfalls. It provides examples of recommendation systems at Netflix and Pandora that achieved success by focusing on the business goals rather than just the technology. It also warns against complexifying systems and architectures unnecessarily over time and refusing to remove outdated components. Overall it advocates embracing complexity but also avoiding duct tape solutions, and designing systems with the intended use and business goals in mind rather than getting attached to specific technologies.
How To Contribute To Drupal Drupal - DrupalCon Paris
The document outlines various ways that anyone can contribute to Drupal, from beginner to advanced levels, in order to become a "Drupal ninja". It encourages advocacy, translations, graphics work, reporting issues, providing feedback, helping with user support, improving documentation, filing bug reports and feature requests, testing and reviewing patches, mentoring others, organizing development efforts, and contributing code, themes and modules. The document emphasizes that contributing can help save time and money for businesses, attract better developers, and allow direct input into the project's direction, while also making individuals better programmers.
Data Visualization: A Quick Tour for Data Science Enthusiasts
This was a talk given at Chulalongkorn University in Bangkok, Thailand on January 16, 2015 as a part of CodeMania X2 "Data Science 101"
Data Visualization
This document provides a tour of data visualization and its relationship to data science. It discusses how visualization can turn data into valuable insights through exploratory data analysis and storytelling. Examples are given of how visualization has been used at Twitter to analyze Ballon d'Or voting data, New Year's tweets, user activity logs, and user sessions to glean insights. Visualization is described as taking data and turning it into visual displays and interactive tools to help audiences understand large amounts of information and for communicating known facts or exploring data.
Beginner's Guide to UI Design
This document provides a beginner's guide to UI design with an overview of the key steps: research goals and users, sketch screen flows and designs, test designs through 5-minute usability studies, and finalize the design. It outlines how to define the research project, understand users and their tasks, research the domain knowledge, sketch screen flows and individual screen designs. It also provides recommendations for testing early mockups and lists resources for further research on each step of the process.
Similar to NY R Conference talk (20)
2022 - Delivering Powerful Technical Presentations.pdf
2022 - Delivering Powerful Technical Presentations.pdf
Developing in R - the contextual Multi-Armed Bandit edition
Developing in R - the contextual Multi-Armed Bandit edition
Lotusphere 2007 AD505 DevBlast 30 LotusScript Tips
Lotusphere 2007 AD505 DevBlast 30 LotusScript Tips
Applying an intersectionality lens in data science
Applying an intersectionality lens in data science
Qualitative Data Analysis using NVivo10 - A workshop for facilitators
Qualitative Data Analysis using NVivo10 - A workshop for facilitators
How To Contribute To Drupal Drupal - DrupalCon Paris
How To Contribute To Drupal Drupal - DrupalCon Paris
Data Visualization: A Quick Tour for Data Science Enthusiasts
Data Visualization: A Quick Tour for Data Science Enthusiasts
Recently uploaded
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Webinar: Designing a schema for a Data Warehouse
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Recently uploaded (20)
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
NY R Conference talk
- 1. The Lesser Known s of the Tidyverse Emily Robinson @robinson_es
- 2. About Me ➔ R User ~ 6 years ➔ Data Scientist at DataCamp ➔ Enjoy talking about: ◆ A/B testing ◆ Building and finding data science community ◆ R
- 3. Talk Goals
- 4. 1. Keep you hip to the lingo
- 5. 2. Stop you from doing this ….
- 6. …. by sharing useful functions
- 7. 3. Point you to resources
- 9. Coherent system of packages for data manipulation, exploration, and visualization that share a common design philosophy
- 11. Tidyverse = ?
- 12. Tidyverse = !
- 14. Tidyverse != Hadleyverse Many other contributors
- 15. Demo
- 17. Some steps of a data analysis workflow ➔ View dataset in console ➔ Inspect missing values ➔ Examine some columns ➔ Make a plot ➔ Do something cool and new!
- 18. Problem: it takes over the console Step 1: print your dataset!
- 19. Prints only 10 rows and the columns that fit on the screen Solution: as_tibble()
- 20. Problem: how do you do this for every column? Step 2: examine your NAs
- 21. Problem: missing values aren’t actually NA Answer: purrr::map_df() to “map” function over each column
- 22. Solution: na_if() to replace certain values with NA
- 23. Problem: how I can I do this quickly? + Skimr Solution: dplyr::select_if() + skimr::skim() Step 3: examine your numeric columns
- 24. Problem: it has multiple answers in each row Step 4: examine a single column
- 26. Solution: stringr::str_split() and tidyr::unnest() +
- 27. Problem: it’s a mess Step 5: make a plot!
- 28. Solution: coord_flip … But they’re not ordered
- 30. Final step: do something cool and new! Problem:
- 31. One solution: make a minimal reproducible example +
- 32. Part 0 (optional): use tribble() to make a toy dataset
- 33. Part 1: Use reprex() to find any problems Credit: Nick Tiernay, https://www.njtierney.com/post/2017/01/11/magic-reprex/
- 34. Part 2: Use reprex() to post your question or issue Credit: Nick Tiernay, https://www.njtierney.com/post/2017/01/11/magic-reprex/
- 36. Resources
- 37. R4ds.had.co.nz
- 38. #rstats twitter
- 39. #rstats twitter
- 41. DataCamp.com
- 43. Conclusion
- 44. The tidyverse Come for the stickers and package names … Stay for the friendly community and happy workflow