There are 1 repository under descriptive-analytics topic.
Descriptive analytics on F.R.I.E.N.D.S TV series.
This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc
Comprehensive tutorial notes for ETC2410 Introductory Econometrics
Product Rationalization of Pro Bikes Inc using Power BI
Analysis of Happiness scored according to economic production, social support, etc.
Investigate a dataset of appoinment records for Brasil public hospitals
This is a Descriptive Analytics Project which consists of various univariate, bivariate and multivariate data analysis on multiple data sets and their variables using R and its various statistical packages
Power BI based Data\Business analysis of e-commerce company with focus on demographic analysis
Machine Learning Key Projects
Descriptive and Predictive Analytics of COVID-19 with respect to different Weather parameters
This Project is all about studying and analyzing the Urbanization Rates and the percentage of Population living in Urban Areas for the Countries.
The H-1B is an employment-based, non-immigrant visa category for temporary foreign workers in the United States. For a foreign national to apply for H1-B visa, an US employer must offer a job and petition for H-1B visa with the US immigration department. This is the most common visa status applied for and held by international students once they complete college/ higher education (Masters, PhD) and work in a full-time position.
In order to create a good movie. We have chosen the score of 4.0 and above over 5.0. We will use the data to analyse what is needed to create a good movie.
A python based terminal interface to analyze the real-time performance of 3000+ company securities listed on NASDAQ. An extensive set of modules based on Pandas, NumPy, Matplotlib and Seaborn libraries. Also deployed the prediction of stock prices using Linear Regression.
Hotel Booking Demand EDA
three analytical insights from investigating the job market for PhD graduates in the US
Mercury NLQS (Natural Language Query System)
Data analysis using EDX data analysis and python for research courses. This comprehensive data analysis and storytelling repo will be the stepping stone towards machine learning and data science data gathering, data wrangling and data pipeline building exercises
Our World in Data's causes of death dataset is examined
ORBIT SMKN 4 Bandung team repository for Turnamen Sains Data Nasional 2022 coordinated by Cybertrend Data Academy and Asosiasi Data Sains dan AI Indonesia with supported by several government agencies and universities in Indonesia.
Investigation of the evolutionary change in crimes in Chicago, IL.
Estimated probability models that help target consumers to build brand loyalty
Python with Tableau
Business Intelligence - Uber(Descriptive, Predictive, Prescriptive Analysis) - Tableau, 2020
Recommendations on which characteristics are most important for determining whether a customer has a favourable perception of the microvan concept, to segment the market, and to determine which segment(s) would be good to target based on the analysis of data.
Data cleansing and handling missing data for a survey conducted by Stack Overflow
Final Project: Predictive and descriptive analysis, interpretations, and recommendations based on Austin Animal Center data on cats housed at the shelter. The main focus of this analysis is to determine which factors affect a cat's chances of being adopted or returned to their owner.
Identifying Key Drivers of Customer Satisfaction using Logistics Regression
🐧🏠 This repository can be referred for basic data science analytics tasks such as descriptive analytics (data distributions & data preprocessing) and predictive modelling (classification or regression tasks).
Web-based Clustering Application Using a Shiny Framework for Determining Student Engagement Levels in Virtual Learning Environments
My analysis shows that a total of 248 mice were tested for Capomulin, Ceftamin, Infubinol, Ketapril, Naftisol, Placebo, Propriva, Ramicane, Stelasyn and Zoniferol. It was obvious that majority of the population groups were tested for Capomulin and Ramicane. In other plot, my findings also show that treatment through Capomulin has been effective.
Analysis of the India GDP over years and provide the understanding of contribution of different sectors to the GDP