Data visualization is the process of presenting data in a graphical or visual format to make it easier to understand and interpret.

A scatter plot is a type of statistical plot that shows the relationship between two variables.

Data cleaning is the process of removing errors and inconsistencies from data to make it more accurate and reliable.

Data collection is the process of collecting and measuring data from various sources.

Data analysis is the process of analyzing and interpreting data to extract meaningful information.

Data visualization is a type of data analysis technique used to present data in a graphical or visual format.

Inferential statistics is the process of using statistical methods to make predictions about a population based on a sample.

Standard deviation is a type of inferential statistic used to measure the spread of data.

Linear regression is the process of fitting a line to a set of data points.

Data visualization is a type of data analysis technique used to present data in a graphical or visual format.

Data mining is the process of identifying patterns and trends in data.

Data visualization is a type of data analysis technique used to present data in a graphical or visual format.

Hypothesis testing is the process of using statistical methods to make decisions about a population based on a sample.

Data visualization is a type of data analysis technique used to present data in a graphical or visual format.

Parameter estimation is the process of estimating the parameters of a population based on a sample.