You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Company X has recently introduced a new type of bidding, average bidding, as an alternative to the current type of bidding called maximum bidding. One of our clients, bombabomba.com, decided to test this new feature and wants to do an A/B test to see if average bidding converts more than maximum bidding.
The data relates to several user actions or interests recorded on two variants of landing pages for an online news portal. The objective is to analyse these interests by performing statistical analyses to determine if one variant is more effective based on chosen metrics (A/B testing).
Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
Cab riding trips are analyzed to understand more on how trips are affected by weather condition, how certain spots attract more taxi passengers, and how a taxi company stands out in making most trips.
🚖🌦️ Desvendando os segredos das corridas de táxi em Chicago: explorando informações das corridas e a meteorologia, utilizando também dados estatísticos, gráficos e testes de hipóteses. Respondendo como o clima afeta a demanda? Existe correlação entre duração e condições meteorológicas? 📊
the objective of this project is to analyze whether the change of an Ecommercer's web page was a success or a failure. For this we will use the A/B Test.
An online news portal (E-news Express) wanted to analyze whether their new landing page is effective enough to gather new subscribers or not. Analysis used metrics such as converted status, time spent on landing page, user's preferred language.
Exploratory Data Analysis is applied to analyse past data of video games that are sold during year 1980 to 2016. The purpose of the analysis it to find out which games, platforms, genres, and ESRB rating class that highly marketable in year 2017.