The document summarizes an R study meeting. It introduces plotting in base R and ggplot2, including examples using the iris dataset. It then discusses shiny for building interactive web apps in R. Examples show building user interfaces and servers, and rendering plots based on user input. The meeting aims to continue studying R through discussing big data visualization, graph visualization, and geographic data visualization using specific R packages.
The document discusses the Getopt::Long module for parsing command line arguments in R. It provides an example of using Getopt::Long to parse arguments in an R script called getopt_long_sample.R, where the --save.path argument is parsed and assigned to the save.path variable. Getopt::Long allows defining argument types like strings, integers, and flags to parse command line options consistently in both Perl and R scripts.
The document summarizes an R study meeting. It introduces plotting in base R and ggplot2, including examples using the iris dataset. It then discusses shiny for building interactive web apps in R. Examples show building user interfaces and servers, and rendering plots based on user input. The meeting aims to continue studying R through discussing big data visualization, graph visualization, and geographic data visualization using specific R packages.
The document discusses the Getopt::Long module for parsing command line arguments in R. It provides an example of using Getopt::Long to parse arguments in an R script called getopt_long_sample.R, where the --save.path argument is parsed and assigned to the save.path variable. Getopt::Long allows defining argument types like strings, integers, and flags to parse command line options consistently in both Perl and R scripts.
This document summarizes information about a person named Takeshi Arabiki. It includes:
1. Their Twitter handle is @a_bicky and ID is id:a_bicky.
2. A link to their blog on Hatena is provided.
3. They have written books and slides about using R and SciPy.
4. Links are provided to their slideshare presentations about using Twitter and R.
This document discusses analyzing Twitter data from the user @a_bicky using R. It extracts over 3,200 tweets from the user's timeline using the twitteR package. The tweets are transformed into a data frame with variables like text, date, and source. The data is then summarized using the reshape2 and ggplot2 packages to calculate metrics like average text length by day of week, month, and source. Frequency tables and heat maps are generated to explore patterns in the Twitter data over time.
Workflow and development in globally distributed mobile teamsPaweł Rusin
The document discusses solutions for managing globally distributed mobile teams. It describes problems with communication across time zones and languages. Key solutions discussed include hiring communicative team members, flexible work schedules, using squads, GitHub for collaboration and documentation, RFC processes, 1-2-3 feedback systems, automation with tools like Fastlane, and architectural patterns like Clean Architecture. The document is from a technical product manager at Cookpad describing their global iOS project.
The document discusses Rust, a systems programming language developed by Mozilla. It provides an agenda, introduction to the speaker and company, why Rust was chosen, basic Rust concepts, and examples of Rust code. Memory safety is emphasized as Rust avoids vulnerabilities like memory leaks and use-after-free by using a borrow checker to validate references. Examples demonstrate immutable and mutable references, structs, functions, and memory management using Box to move values.
This document summarizes information about a person named Takeshi Arabiki. It includes:
1. Their Twitter handle is @a_bicky and ID is id:a_bicky.
2. A link to their blog on Hatena is provided.
3. They have written books and slides about using R and SciPy.
4. Links are provided to their slideshare presentations about using Twitter and R.
This document discusses analyzing Twitter data from the user @a_bicky using R. It extracts over 3,200 tweets from the user's timeline using the twitteR package. The tweets are transformed into a data frame with variables like text, date, and source. The data is then summarized using the reshape2 and ggplot2 packages to calculate metrics like average text length by day of week, month, and source. Frequency tables and heat maps are generated to explore patterns in the Twitter data over time.
Workflow and development in globally distributed mobile teamsPaweł Rusin
The document discusses solutions for managing globally distributed mobile teams. It describes problems with communication across time zones and languages. Key solutions discussed include hiring communicative team members, flexible work schedules, using squads, GitHub for collaboration and documentation, RFC processes, 1-2-3 feedback systems, automation with tools like Fastlane, and architectural patterns like Clean Architecture. The document is from a technical product manager at Cookpad describing their global iOS project.
The document discusses Rust, a systems programming language developed by Mozilla. It provides an agenda, introduction to the speaker and company, why Rust was chosen, basic Rust concepts, and examples of Rust code. Memory safety is emphasized as Rust avoids vulnerabilities like memory leaks and use-after-free by using a borrow checker to validate references. Examples demonstrate immutable and mutable references, structs, functions, and memory management using Box to move values.