A time series is a collection of observations in chronological order. Time Series Analysis Helps You Identify Patterns Time Series Analysis Creates the Opportunity to Clean Your Data For example, with any gaps in the data identified, it would be easy to impute those missing values (that is, fill in the gaps with some calculated value). We would also be able to identify outliers in the data Time Series Forecasting Can Predict the Future

This study utilize the Chicago crime data set to conduct hotspot analysis which helps to visualize key geographies with high and low occurrence crime.

This assignment reflects Propensity Score Matching for Early Childhood Longitudinal Study_Part2.The initial dataset used for this lab work consist of 10 columns and 614 observations. There are 2 character type variables and 8 numeric variables in the dataset.

Coronavirus Disease(Covid-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2(SARS-COV-2) was first identified in December 2019 in Wuhan, a rail and aviation hub in the Hubei Province of China. This project explores covid-19 occurrence in United Sates coupled with examining vaccination information. This project aims to conduct statistical analysis on the covid-19 occurrence in the united states whiles using various statistical tools from the R-statistical software to visualize the dataset to drive meaning from these occurrences. This study is however organized as follows; data collection, descriptive statistics, exploratory analysis, methodology , results discussion and conclusion.

This project is an entry in a competition hosted by Kaggle.com, in which the goal is to build a model to predict house Prices in Ames, Iowa. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this dataset challenges me to predict the final price of each home. The data set contains 2930 observations and a large number of explanatory variables (23 nominal, 23 ordinal, 14 discrete, and 20 continuous) involved in assessing home values. The data also contains significant amount of missing values, which is corrected before further analysis and modeling is conducted.