Collection and Organization of Data


Collecting or organizing informations of all types produce significant quantities of data. The majority of these data are generated from everyday operations. For example, when the teacher in charge makes note of the students who arrive late to school, can one day give significant data.

Other examples like data collected within an organization, financial and performance data are frequently collected from other organizations, departments, communities, and suppliers to make effective decisions. This data collection effort occurs outside the organization and might involve tools such as government reports, surveys, interviews, and questionnaires. For example, a TV channel would conduct a survey on who will win the upcoming election poll.

Graphs, Charts, and Tables:

Graphs, charts, and tables are tools to help organize and aggregate data upon collection. Graphs and charts are visual representation. For example, a pie chart could visually summarize the percentages of male and female students in science department. A bar chart might compare the average number of monthly grievances addressed by telecommunication department. Line charts or graphs frequently involve how performance changes over time like that of exam score in a class.

Numerical Measures:

Numerical measures describe data samples and populations to better understand the central point and spread of the data. A chart with data points that closely surround the central tendency point or one where the data points are spread out can carry great significance when it comes to data analysis.