Below is a dataset with single bets made by gambling customers. Our task is to aggregate them into sessions, group sessions into length groups and calculate the average margin by session length group. For example: Session LengthAvg Margin (GGR divided by Turnover)< 15minX15 – 30 minY30 – 45 minZ…..… Description of the dataset: Player_id – unique player identifierGame_End_Timestamp – indicator when bet was placed (aggregated to full minute)Turnover – amount customer staked in that minuteGGR – gross gaming revenue (turnover – wins), casino revenue in that minute Plan of Action This dataset consists of log entries that contain a player_id, timestamp, and betting information. Our first step would be to group all of the actions that a user takes within a given session. A session can be defined as any continuous entry of logs from a specific user, where the gap between the previous timestamp isn’t more than x minutes.…
As part of the Safer Gambling initiative, it is important to make sure customers do not gamble above their financial means. One of the…
Introduction 👋 You’re a marketing analyst and you’ve been told by the Chief Marketing Officer that recent marketing campaigns have not been as effective…
Introduction The dataset that we will be wrangling (and analyzing and visualizing) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs.…
Table of Contents 📋 IntroductionStep 1: Importing LibrariesStep 2: Gathering DataStep 3: Univariate ExplorationStep 4: Bivariate ExplorationStep 5: Multivariate ExplorationStep 6: Random ExplorationStep 7:…
The Program for International Student Assessment (PISA) is a system of international assessments that allows countries to compare outcomes of learning as students near the end of compulsory schooling. PISA core assessments measure the performance of 15-year-old students in mathematics, science, and reading literacy every 3 years.
This project is a data wrangling project, which mainly focus on fixing the data quality and tidiness issues using python. The dataset that I am wrangling is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs.
A/B tests are very commonly performed by data analysts and data scientists. For this project, we will be working to understand the results of an A/B test run by an e-commerce website.
Gapminder datasets are being used to investigate the relationship between GDP/GNI per capita, standard of living, carbon footprint, healthcare and the importance of export in each country’s economy.