By PREFERENCES FOR CAR CHOICE IN UNITED STATES Thank you PREFERENCES FOR CAR CHOICE IN THE UNITED STATES 2 PREFERENCES FOR CAR CHOICE IN THE UNITED STATES 2 Table of Contents Introduction………………………………………………………………………………………..3 Background3 Data Analysis4 Data Visualization9 Conclusion16 References17 Introduction The most common applications of Statistics is describing a set of descriptive data statistics, regression, and hypothesis testing and inferential statistics. The two main branches are descriptive and inferential statistics. People who do not have any formal training in statistics are more familiar with inferential statistics than with descriptive statistics. In this paper, the data will analyze using descriptive statistics. So we will focus on the descriptive branch of the statistics. Descriptive Statistics Definition The descriptive statistics are the type of statistical analysis that helps to describe the data in some meaningful way. The statistics are helpful to describe quantitatively about the essential features of the data or information. The descriptive statistics give the summaries of the given sample as well as the observations done. These summaries or descriptions can either be graphical or quantitative.Background This study will focus on and analyzing & Visualizing the data set about Preferences For Car Choice In The United States. The data set contained 4654 observations and 71 columns. There are several different types of graphs that help describe the statistical data. These graphs are histogram, bar graph, box and whisker plot, line graph, scatter plot, ogive, pie chart, and many more. Generally, the kinds of measurements that can use with descriptive statistics are: The measure of central tendency describes the data which lies in the center of a given frequency distribution. The main steps of central tendency are mean and median and mode (Nick, 2020). The spread measure describes how the scores are spread across the entire distribution. In the spread, measurements that are included standard deviation, variance, quartiles, range, absolute difference.Data Analysis One of the essential concepts of statistics is data analysis. It is the process that is observing the data, analyzing, and modeling the data. The purpose of data analysis is to obtain useful data information and state conclusions which support decision-making. The data analysis can be performed under several techniques using different approaches. The method of data assessment and analysis can be achieved by using analytical and logical approaches to examine each component of the data provided. Data from various sources are collected, reviewed, and then explained for decision making or conclusions. There are several methods for analyzing the results. Data mining, text analytics, and business intelligence are some of the most commonly used techniques and data visualizations. The data an.