Key Concept of Statistics - Presentation of data

As soon as data collection is done, we need to find a way to present the data in most meaningful, efficient way such as tables, text, graphs, charts, trends etc. Presentation of data is the easiest way of presenting the results of findings from collected data using appropriate data analysis techniques or tools. Data presentation is powerful tool which makes data understandable & readable at the same time while attracting & keeping the interest of its readers and effectively showcase large amounts of complex data in a simplified manner. Data can be presented in a variety of formats, including:

Tables: Tables are a simple and effective way to present data. They are particularly useful for presenting precise numerical data.

Graphs and Charts: Graphs and charts are often used when it’s helpful to visualize trends, comparisons, or relationships in the data. This includes bar graphs, line graphs, pie charts, scatter plots, and more.

Maps: For data with a geographical component, maps can be an effective way to present data. Heat maps, choropleth maps, and geographic information system (GIS) maps are all common types of data maps.

One can’t understand or read the entire data which is being collected, thus, presenting data using best suitable method is extremely important to convey or results by keeping audience preference in mind. Multiple visualization methods can be combined to enhance the overall presentation of complex data.


Comments

Post a Comment

Popular posts from this blog

Key Concept of Statistics - Types of data

Image
  ·          Types of data: Data can be broadly classified into two main types: qualitative data and quantitative data. These types of data have distinct characteristics and are analysed using different methods and tools. Qualitative Data: Qualitative data is information that cannot be counted, measured or easily expressed using numbers. It is collected from text, audio and images to describe the qualities or characteristics of a source. For example: colors, names, cities etc. It is majorly used in content analysis, or narrative analysis. Quantitative Data: Quantitative data consists of numeric information that can be measured and counted. For example: age, height, speed etc. It is used majorly in statistical analysis. There are other types of data which includes Categorical data, binary data, time series data and spatial data. Understanding the type of data is crucial for choosing appropriate analysis methods and drawing meaningful conclusions from research or observations.
Read more

Introduction to Statistics

Image
  Lesson 1: What is Statistics? ·         Introduction to the field of statistics: Statistics is a branch of mathematics that deals with the collection , analysis , interpretation , presentation , and organization of data. It provides a framework for making inferences and drawing conclusions from data, helping to understand patterns, relationships, and trends in various phenomena. It plays a crucial role in various fields, including science, business, economics, social sciences, medicine, and more. The field of statistics is fundamental to scientific research, decision-making in business and industry, government policy formulation, and numerous other areas where data-driven insights are crucial.   History : The history of statistics dates back to ancient times, with the earliest forms of data collection and analysis emerging in various civilizations. The earliest known use of statistical methods can be traced back to ancient civilizations such as Babylon, Egypt, and China.
Read more

Median example (Ungrouped data)

Image
  Find the median of the following data for marks in Statistics (out of 100). {99, 34, 45, 72, 98, 40, 62, 21} Step 1: Order the values from low to high 21, 34, 40, 45, 62, 72, 98, 99 Here, n (total number of observations) is 8, which is even, so we will use the formula given below: Thus, median marks in Statistics are 53.5.
Read more