Quotes About Data Analysis

#1. The challenge of data analysis is how to bring vast amounts of information into productive contact with human intelligence.

Anonymous

#2. HubSpot has used the lean startup method to build a spectacularly successful company. What I particularly love about HubSpot is that they are so geeked out on data analysis and making evidence-based decisions, which are at the heart of the Lean Startup process.

Eric Ries

#3. I can only speak for particle physics. But it has become obvious that on the experimental side, there has been a huge evolution in the number of people who have to collaborate because of the gigantic size of the instruments used, but also because of the enormous task that is data analysis.

Peter Higgs

#4. We hope you enjoy using this text. We also hope that it helps you in reading the journal articles that make use of ANOVA techniques in their data analysis sections, and that it encourages you to explore the use of ANOVA designs in your own research applications.

Glenn C. Gamst

#5. What I need I carry in my head. Everything in that machine came from me. My fat burned into knowledge. My calories pedaled into data analysis" -- The Calorie Man

James Patrick Kelly

#6. Everything that informs us of something useful that we didn't already know is a potential signal. If it matters and deserves a response, its potential is actualized.

Stephen Few

#7. Digital analytics is the analysis of qualitative and quantitative data from your business and the competition to drive a continual improvement of the online experience that your customers and potential customers have which translates to your desired outcomes (both online and offline).

Anonymous

#8. By the time your perfect information has been gathered, the world has moved on.

Phil Dourado

#9. Remember that codes are more than a filing system. Every project needs a systematic way to store coded field data and a way to retrieve them easily during analysis.

Matthew B. Miles

#10. We need to think harder and smarter. What we really need is holistic analysis, not holistic media data. We need to make better use of what we have. We need to dig deeper and ask, 'Do you need to repeat the whole study or can you examine the bits that have changed and re-calibrate?'

Jenny Beck

#11. No data are excluded on subjective or arbitrary grounds. No one piece of data is more highly valued than another. The consequences of this policy have to be accepted, even if they prove awkward.

Jennifer K. McArthur

#12. I'm a bit of a freak for evidence-based analysis. I strongly believe in data.

Gus O'Donnell

#13. There's a strand of the data viz world that argues that everything could be a bar chart. That's possibly true but also possibly a world without joy.

Amanda Cox

#14. In a comprehensive analysis of data on more than half a million professors, the education experts John Hattie and Herbert Marsh found that "the relationship between teaching and research is zero.

Anonymous

#15. The falsification of scientific data or analysis is always a serious matter.

Ed Markey

#16. All research in the cultural sciences in an age of specialization, once it is oriented towards a given subject matter through particular settings of problems and has established its methodological principles, will consider the analysis of the data as an end in itself.

Max Weber

#17. The analysis of data will not by itself produce new ideas ...

Edward De Bono

#18. Heritage will remain, first and foremost, a research institute dedicated to impeccable research and data-driven policy analysis.

Jim DeMint

#19. You need to marry the qualitative with the quantitative. It better informs us so we can decide what to do. We can't be afraid of data and analysis. We have to use that lens.

Nathan Shedroff

#20. Signals always point to something. In this sense, a signal is not a thing but a relationship. Data becomes useful knowledge of something that matters when it builds a bridge between a question and an answer. This connection is the signal.

Stephen Few

#21. Reducing intelligence to the statistical analysis of large data sets "can lead us," says Levesque, "to systems with very impressive performance that are nonetheless idiot-savants.

Nicholas Carr

#22. Blogging, writing conventional articles, and being science consultant and pocket protector ninja to various web portals and TV programs, quite often trying to promote the penicillin of hard data to people who had no interest in being cured of their ignorance.

Stephen L. Burns

#23. My analyses and conclusions differ diametrically from those of the Southern Research Institute/National Cancer Institute report wherein it is concluded that amygdalin 'does not possess activity in the Lewis lung carcinoma system.'. My analysis of the data is that it is overwhelmingly positive.

Dean Burk

#24. So it is with statistics; no amount of fancy analysis can make up for fundamentally flawed data. Hence the expression garbage in, garbage out.

Charles Wheelan

#25. The life of a visual communicator should be one of systematic and exciting intellectual chaos.

Alberto Cairo

#26. That type of analysis could include data from training staffs and coaching staffs, performance data, and medical data.

Benjamin C. Alamar

#27. The inadequacy of unidimensional plotting along a continuum (in this case the diagonal of a symmetric matrix) inevitably would make "buffer" elements appear non-conformist when in fact they may be part of an interconnected pattern.

Jennifer K. McArthur

#28. There are times when a data set is so robust that if you set up your analysis right, you don't need to ask it questions--it just tells you everything anyway.

Christian Rudder

#29. Lorenz was the charismatic, flamboyant thinker - he didn't conduct a single statistical analysis in his life - while Tinbergen did the nitty-gritty of actual data collection.

Frans De Waal

#30. The so-called co-efficient of heritability, which I regard as one of those unfortunate short-cuts, which have often emerged in biometry for lack of a more thorough analysis of the data.

Ronald Fisher

#31. Stated simply, an Excel spreadsheet, or more likely a proliferation of these spreadsheets, is ill-suited for the longer-term data management and analysis required by Six Sigma teams.

Thomas Pyzdek

#32. The latest technologies are often sexy, but beware of solutions that vendors dress up like trollops, unless you're looking for a one-night stand.

Stephen Few

#33. To find signals in data, we must learn to reduce the noise - not just the noise that resides in the data, but also the noise that resides in us. It is nearly impossible for noisy minds to perceive anything but noise in data.

Stephen Few

#34. That's the chain of thinking: D-A-D-A. Getting data leads to analysis. Analysis leads to a decision. A decision leads to an action. Simple. That's how thinking works.

John Braddock

#35. In a single sentence the moral is: admit that complexity always increases, first from the model you fit to the data, thence to the model you use to think about and plan about the experiment and its analysis, and thence to the true situation.

John Tukey

#36. The real point of the matter is that what we call a 'wrong datum' is one which is inconsistent with all other known data. It is our only criterion for right and wrong.

Isaac Asimov

#37. Advances in technology, which allow analyses of large quantities of data, are the foundation for the relatively new field known as crime analysis.

Deborah Osborne

#38. The amount of data and analysis available for free is a true example of information explosion has leveled the playing field for individual investors.

Maria Bartiromo

#39. They do not merely collect texts; they must also gather data about the context and the informant and, above all, write an analysis of the items based upon the course readings and lecture material on folklore theory and method.

Alan Dundes