How to-code-r
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The document discusses three tips for coding projects: 1) Stay organized by structuring projects into folders for data, code, and output. 2) Be clear by adding comments to code to explain sections and steps. 3) Don't repeat code by using functions like lapply and bind_rows to read in multiple files instead of separate read.csv lines. The final tip is to search for help when needed.
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Wednesday 30 April 2025
Joint webinar from APM AI and Data Analytics Interest Network and APM Benefits and Value Interest Network
Presenter:
Rami Deen
Content description:
We stepped into the future of benefits modelling and benefits analysis with this webinar on Generative AI (Gen AI), presented on Wednesday 30 April. Designed for all roles responsible in value creation be they benefits managers, business analysts and transformation consultants. This session revealed how Gen AI can revolutionise the way you identify, quantify, model, and realised benefits from investments.
We started by discussing the key challenges in benefits analysis, such as inaccurate identification, ineffective quantification, poor modelling, and difficulties in realisation. Learnt how Gen AI can help mitigate these challenges, ensuring more robust and effective benefits analysis.
We explored current applications and future possibilities, providing attendees with practical insights and actionable recommendations from industry experts.
This webinar provided valuable insights and practical knowledge on leveraging Gen AI to enhance benefits analysis and modelling, staying ahead in the rapidly evolving field of business transformation.
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All of this is not just about what’s broken; it’s about what can be done. The talk concludes with providing a roadmap for rethinking the culture of creative industries and offers strategies for balancing passion with sustainability.
With this book and presentation I hope to challenge us to imagine a healthier future for the labor of love that a creative career is.
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How to-code-r
- 1. How To Code? CEU - 2015 Fall János Divényi
- 2. 1 - Stay organized
- 8. 2 - Be clear
- 9. # use comments ## to explain ## to create sections
- 10. mydf %>% mutate(lx = log(x)) coke_prices %>% mutate(log_price = log(price))
- 11. mydf %>% mutate(lx = log(x)) coke_prices %>% mutate(log_price = log(price))
- 12. 3 - Don’t repeat
- 13. trade2003 <- read.csv(′2003.csv′) trade2004 <- read.csv(′2004.csv′) trade2005 <- read.csv(′2005.csv′) … trade2013 <- read.csv(′2013.csv′) rbind(trade2003, trade2004, …, trade2013)
- 14. trade2003 <- read.csv(′2003.csv′, header=FALSE, …) trade2004 <- read.csv(′2004.csv′) trade2005 <- read.csv(′2005.csv′) … trade2013 <- read.csv(′2013.csv′) bind_rows(trade2003, …, trade2013)
- 15. bind_rows( lapply( 2003:2013, function(year) { read.csv(paste(year, ′.csv′), header=FALSE, …) } ) )
- 16. +1 – Search for help