Or, to put it in a slightly more professional way, if your data is countable, measurable, or otherwise based on numbers—it’s quantitative. Height, weight, number of conversions, and percentage turnover are all good examples.

Height, weight, number of conversions, and percentage turnover are all good examples. If your data is based on language, interpretation, or description—it’s qualitative. Case studies, screen recordings, photographs, and interviews are all ...

October 25, 2021 - Datahub.io: Here you’ll find economic or business datasets like entertainment, stock market data, inflation, financial logistics, and more. It is up to the user which dataset to use and there are many descriptive statistics to consider. Most of the online datasets are free to visit and find information. Since quantitative data is defined as the value of data in the form of counts or numbers, each data set has a numerical value associated with it.

August 22, 2025 - Here are some examples of quantitative data: Daily Active Users (DAU): This metric counts the number of unique users interacting with a product or service daily. It is crucial for understanding user engagement and product usage trends.

October 23, 2024 - Projection of data: Future data projections can be made using algorithms and other mathematical analysis tools. For example, a marketer will predict an increase in sales after launching a new product with a thorough analysis. Quantification of qualitative entities: Identify numbers to qualitative information. For example, asking respondents of an online survey to share the likelihood of recommendation on a scale of 0-10. As quantitative data is in the form of numbers, mathematical and statistical analysis of these numbers can lead to establishing some conclusive results.

Data analysts use quantitative data to spot patterns and trends. They collect, interpret, and present the data so others can use it to help guide business decisions. Collecting high-quality data is paramount. No data project can be successful if the data it’s based on is inaccurate. Your data should be consistent and free of errors. For example, the quantity of an invoice line item cannot be negative — this would indicate a problem with either your sales system or your data collection process.

January 22, 2024 - It includes objective and observable information stated in specified units—for example, height, temperature, income, sales figures, population size, test scores, and weights are the types of information that is considered quantitative data.

January 8, 2025 - Customer churn rate is quantitative data that measures the percentage of customers who stop using your product or service within a specific period. This metric is crucial for understanding customer satisfaction and the overall health of your business because a high churn rate can show underlying issues with product value, user experience, or customer support.

February 8, 2023 - As the name suggests, it is data in numbers with mathematical meaning that indicate quantities of specific aspects. For example, a company's financial reports contain quantitative data.

May 11, 2023 - Time series data is a sequence of data points which measure the same variable at different points in time, such as weekly sales figures or monthly email sign-ups. By looking at time-related trends, analysts can forecast how the variable of interest may fluctuate in the future. Extremely handy when it comes to making business decisions! Above is just a very brief introduction to how you might analyze your quantitative data.

January 19, 2023 - It makes it easier to stay on top ... vary based on your industry and goals. One example of analyzing quantitative data is Google Analytics....

October 22, 2025 - Stratified random sampling -In this method, you divide the population into smaller sub-groups called strata. These strata are made using a common attribute that defines that set of people, for example, income or occupation. This is a great way to collect quantitative data as it involves quick ...

June 27, 2024 - Text analysis turns data sources, such as call center transcripts, online reviews, and customer surveys, into actionable information. SWOT analysis is a quantitative method of analyzing data to identify an organization's strengths, weaknesses, opportunities, and threats. SWOT analysis provides a holistic view of the competition and a guide to developing effective business strategies. For example, if a market forecast suggests a decrease in economic activity, a company can conduct a SWOT analysis to reduce unnecessary expenditures and reassign its most effective employees.Related: What Is Forecasting?

February 13, 2023 - There is a false belief that a data collection method is either qualitative or quantitative. The truth is that one method can be both quantitative and qualitative. For example, the famous Net Promoter Score (NPS) survey. The first question on the NPS survey is quantitative because it asks you to rate, from 0 to 10, if you’d recommend a business. The second question of the NPS survey is qualitative because it asks you, ‘what’s the reason for your score.’“ ... In summary, qualitative data and analysis opens new possibilities for your business projects and gives you a more complete picture of the phenomenon you’re analyzing.

September 28, 2023 - What this means is that each countable data point is not only quantitative, but also discrete. Below are some examples of countable data. ... Wind speeds from a previous storm or the weight of the world’s largest pumpkin would be examples of data that is continuous. Continuous data can have decimals and can represent non-countable things. Using similar subjects to the discrete data above, you can see how the continuous data differs in what it measures and describes.

October 22, 2025 - Quantitative analysis offers a ... to employee performance and beyond. For example, airlines use quantitative models to analyze flight data and improve aircraft maintenance.8...

February 6, 2019 - Examples of quantitative analysis include a company's financial data and marketing returns with statistical data on demographics. Financial Data: as already mentioned companies have a plethora of financial data and reports available to study.

Quantitative data are the result of counting or measuring attributes of a population. Amount of money, pulse rate, weight, number of people living in your town, and the number of students who take statistics are examples of quantitative data.

February 1, 2024 - The quantitative data collected is made to be accurate. You're comparing two products online and one has an average star rating based on thousands of users while the other relies solely on passionate testimonials. Which seems more trustworthy? That's right, numbers don't lie. Such objectivity is especially crucial when making big decisions affecting your business or research outcomes. When you put your faith in numerical evidence, you can identify website issues proactively, and take measures in no time.