Types of visualization (4)



 Histograms

Histograms are similar in appearance to bar charts, but their main purpose is to represent data grouped in ranges. Histograms do not represent separate categories; instead, they illustrate the quantities of the elements in each range or interval. They are perfect when one needs to get a quick glimpse of the distribution of numbers.

Let us say, a histogram can be the medium to evidence ages of students in a classroom. Each of the bars represents the number of the kids whose age falls within a certain range, such as 10-12 years or 13-15 years. This makes it clear which age range is the most or the least.

The histograms are the most widely used statistical tools for visualization and inference in statistical research. They are very helpful in discovering trends in big sets of data. For instance, histogram plotting of customers' purchasing frequency in price brackets may be the appliance of a business endeavour.

Obviously, a histogram resembles a bar chart, however, each of these graphs uses the bars differently. In histograms bars are contiguous because they represent intervals. This makes it obvious to the viewer that the data is continuous along the intervals and not individual/ separated as in bar charts.


Comments

Post a Comment

Popular posts from this blog

Application of big data techniques to a problem 4

Image
  Application of Big Data Techniques A high dropout rate — 28 percent of freshmen in one program — is a major obstacle in online STEM education. Teachers collected a huge amount of data to attempt to tackle this, including assignments submitted, posts made in forums, marks on quizzes, views of video lessons and actions in LMS logins. After detecting stress and disengagement indices from chat contributions via natural language processing (NLP), regression models were used to predict who among the students would be at risk of performance dropout. Cohort dropout risk heatmaps, weekly teacher trend reports, and individual student engagement dashboards were applied to visualize this data. These findings enabled more targeted interventions: teachers were automatically alerted to reach out individually to students showing early warning signs, those at risk received specific prompts (e.g., offers of tutoring, inspirational messages, or resources); and teachers were given individual feedbac...
Read more

Application of big data techniques to a problem 1

Image
  Explaining Big Data Concepts Massive amounts of data are coming out of educational platforms because of the rapid growth of online learning, everything from discussion forum activity and video watch time to the frequency of login and assignments submission available. The titanic volume of data, often called “big data,” is being utilized by institutions for the purpose of the improvement of learning results and for the thorough understanding of student behaviour. Edutrack is one such example, where the amount of data annually went up from 1TB to over 10TB, making it necessary to use smarter data strategies instead of manual ones. This comprises, among others, the situation when manual progress tracking was the main method of monitoring, and the end-of-semester survey was the instrument that gave the teachers clues about the best topics for the next semester. The effective scope of the latter was not only limited by its low response rates but also by the time taken to supply an inp...
Read more

Value of Data

Image
Khalid Nawaz 10 March 2025    Value of Data (Including Future Value)  In today’s digital era, big data has become one of the most valuable assets for organizations across industries. It allows businesses to gain deep insights into customer behaviour, preferences, and trends, enabling more informed decision-making. By analysing large volumes of data, companies can optimize marketing strategies, improve product offerings, and enhance customer service. For example, retailers can use purchasing data to forecast demand, personalize recommendations, and manage inventory efficiently. In the healthcare sector, big data supports early disease detection, patient monitoring, and more effective treatment plans by analysing patient records and medical histories.  Governments use it to improve public services, monitor traffic patterns, and respond to emergencies. In agriculture, data from sensors and satellites helps farmers monitor crop health and manage resources more sustainabl...
Read more