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Descriptive Analysis is the type of analysis of data that helps describe, show or summarize data points in a constructive way such that patterns might emerge that fulfill every condition of the data. It is one of the most important steps for conducting statistical data analysis .
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- What Is Descriptive Analysis?
- Types of Descriptive Analysis
- How to Do Descriptive Analysis
- When to Do Descriptive Analysis
- Descriptive Analysis Example
- Final Thoughts
Descriptive analysis, also known as descriptive analytics or descriptive statistics, is the process of using statistical techniques to describe or summarize a set of data. As one of the major types of data analysis, descriptive analysis is popular for its ability to generate accessible insights from otherwise uninterpreted data. Unlike other types ...
According to CampusLabs.com, descriptive analysis can be categorized as one of four types. They are measures of frequency, central tendency, dispersion or variation, and position.
Like many types of data analysis, descriptive analysis can be quite open-ended. In other words, it's up to you what you want to look for in your analysis. With that said, the process of descriptive analysis usually consists of the same few steps. 1. Collect data The first step in any type of data analysis is to collect the data. This can be done in...
Descriptive analysis is often used when reviewing any past or present data. This is because raw data is difficult to consume and interpret, while the metrics offered by descriptive analysis are much more focused. Descriptive analysis can also be conducted as the precursor to diagnostic or predictive analysis, providing insights into what has happen...
As an example of descriptive analysis, consider an insurance company analyzing its customer base. The insurance company may know certain traits about its customers, such as their gender, age, and nationality. To gain a better profile of their customers, the insurance company can apply descriptive analysis. Measures of frequency can be used to ident...
Descriptive analysis is a popular type of data analysis. It's often conducted before diagnostic or predictive analysis, as it simply aims to describe and summarize past data. To do so, descriptive analysis uses a variety of statistical techniques, including measures of frequency, central tendency, dispersion, and position. How exactly you conduct d...
- Traffic and Engagement Reports. One example of descriptive analytics is reporting. If your organization tracks engagement in the form of social media analytics or web traffic, you’re already using descriptive analytics.
- Financial Statement Analysis. Another example of descriptive analytics that may be familiar to you is financial statement analysis. Financial statements are periodic reports that detail financial information about a business and, together, give a holistic view of a company’s financial health.
- Demand Trends. Descriptive analytics can also be used to identify trends in customer preference and behavior and make assumptions about the demand for specific products or services.
- Aggregated Survey Results. Descriptive analytics is also useful in market research. When it comes time to glean insights from survey and focus group data, descriptive analytics can help identify relationships between variables and trends.
Mar 25, 2024 · Definition: Descriptive analytics focused on describing or summarizing raw data and making it interpretable. This type of analytics provides insight into what has happened in the past. It involves the analysis of historical data to identify patterns, trends, and insights.
Jul 9, 2020 · Descriptive statistics summarize and organize characteristics of a data set. Learn about frequency distribution, measures of central tendency, measures of variability, and univariate and bivariate descriptive statistics.
- Descriptive statistics summarize the characteristics of a data set. Inferential statistics allow you to test a hypothesis or assess whether your da...
- The 3 main types of descriptive statistics concern the frequency distribution, central tendency, and variability of a dataset. Distribution refers...
- Univariate statistics summarize only one variable at a time. Bivariate statistics compare two variables . Multivariate statistics compare more tha...
Nov 8, 2023 · Descriptive analysis identifies data trends, patterns, and relationships to determine what happened. Descriptive analysis is one of the more straightforward data analysis methods used to describe an occurrence or provide overview details of an event by asking what happened to whom, where, and when.
Descriptive analytics focuses on summarizing and interpreting historical data to provide a comprehensive understanding of past events, patterns, and trends. It involves organizing and presenting data in a meaningful format through statistical measures, visualizations, and other techniques.
