After understanding the meaning of garbage in garbage out, you may wonder what is an example case of garbage in garbage out. According to Charles Wheelan in his book entitled Naked Statistics. People often call it ‘how to lie with… Read More »Example of Garbage In Garbage Out
“Garbage in, garbage out” may be a term rarely heard by common people. This term is very popular in data science circles. The basic idea of “garbage in, garbage out” is that if data is put into an algorithm, the… Read More »Garbage in garbage out (GIGO)
How does Netflix know what movies we like? Is it by asking us directly? Or maybe Netflix knows our best friends and asks them? I don’t think that’s how Netflix movie recommendations work. Today I will explain how Netflix provides… Read More »How does Netflix know the movies I might like?
On this project, I had the opportunity to collaborate with my colleague Lilis Lisnawati. She gave me very interesting insights considering that the topic and her background are indeed related. Many Americans say that reducing crime should be a top… Read More »What Data Says About Crime in LA?
The Los Angeles Police Department (LAPD) is committed to implementing a data-driven crime prevention strategy. One of these commitments is demonstrated by documenting and analysing crime data in LA on a consistent basis since 2020.Crime data collected by the LAPD… Read More »US Criminal Data Exposed: Predicting Crime Hotspot In LA
As of June 2024, estimates suggest that 402.74 million terabytes of data are created daily. With so much data being produced, the ability to process data is necessary to produce useful insights. The vast amount of data is also known as big data,… Read More »How Data Science Can Benefit Your Business Decisions?
Skewness is the degree of asymmetry or lack of symmetry of a distribution. Skewness is the slope of the data distribution. In a non-symmetrical distribution, the means, medians, and modes are not equal in magnitude, causing the distribution to concentrate… Read More »Skewness | Definition and Formula
Data Binning, Bucketing, or Discretization is a data smoothing and pre-processing method to group original continuous data into small, discrete bins, intervals, or categories. Each bin is considered separate so that a general value representing the whole bin can be calculated.… Read More »What is Binning Methode
You have probably heard at some point that “Correlation is not causation” most likely from someone looking at data that posed a challenge to parts of his worldview that we were reluctant to question. Nonetheless, this is an important point… Read More »Correlation VS Causation
Edward Simpson was a code-breaker at Bletchley Park, a statistician, and a public servant. Edward was born on December 10th, 1922, to Captain Hugh and Mary Simpson. Edward described the statistical phenomenon that took his name in a technical paper… Read More »The Simpson Paradox