Data: Its Source and Compilation| Practical Work in Geography Class 12

Data – Its Source and Compilation is a part of the Practical Work in Geography of Class 12. The chapter describes the different types of data source and their compilation processes through different processes. The data is a collection of different facts or figures that can be utilized to achieve some specific goals. The data and its types can be quantitive which can describe the quality of some processes through numeric ways.

In this article, we are going to discuss the Geography Class 12 Notes Chapter 1 Data – Its Source and Compilation for the practical works in detail.

What is Data?

The Data can be defined as the numerical and quantitive geographic measurements and the data of other occurrences that help to determine the numbers. The data can be stored as a source of binary values in the form of 0 and 1. The smallest unit of data is known as the bit which is a single value.

Data Sources

The Data Sources can be defined as the specific systems and locations where we can save and manage the data. They can be found in any form of the database, sheets, or some cloud-based platforms. Here are some major sources of the data as mentioned below.

Primary Data Sources

Primary Data Sources are the records and the evidence. These types of data sources are collected for the very first time by a particular person or group. There are some particular methods of collecting the data including personal investigation, indirect investigation, telephonic interview, etc.

Secondary Data Sources

Secondary Data Sources can be defined as when a particular data set is made or collected for different purposes. The secondary data can be designated as the internal data or the external data. There are some particular methods of collecting the data including the census process, government data, an organization’s record, etc.

Data Compilation and Specific Terms

Data Compilation is a process that works statistically by collecting the data. The compilation process also utilizes and performs different processes to create a new information structure. These structures help us to get well-defined structural outpouts.

Here are some specific terms related to the data compilation as mentioned below.

• The Percentage and Ratio: The data source is able to summarize the data into a ratio or in the form of proportion on the basis of some common criteria.
• The Index Number: The Index Number is a statistical matrix that defines the different changes in a particular variable with some collected variable.
• The Inclusive Method: It is the process of defining the higher limit of a class to process the whole data. The process runs by the bottom-up approach.
• Simple Frequencies: The frequency can be denoted as”f”. It represents the category of a particular data.
• Exclusive Method: The exclusive method defines the higher class where the lower class follows the process.

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Data – Its Source and Compilation- FAQs

What is data source and compilation?

The data which are collected for the first time by an individual or the group of individuals, institution/organisations are called Primary sources of the data. On the other hand, data collected from any published or unpublished sources are called Secondary sources.

What is source of data in geography class 12?

Primary data sources are those that are acquired for the first time by a person or a group of individuals, institutions, or organisations. Secondary sources are data acquired from any public or unpublished source. Absolute data, often known as raw data, is data provided in its native form as numbers.

What is the main sources of data?

Data can be gathered from two places: internal and external sources. The information collected from internal sources is called “primary data,” while the information gathered from outside references is called “secondary data.”

What is source of data in geography?

Satellite images, sonar readings, and radar are all forms of remotely sensed data. For each type of data, there is a range of important issues about collection and processing that have an impact on how reliable and useful the data are.

Why do we compile data?

Compiled data is organized, structured info from various sources, crucial for a loan officer’s tasks like credit assessment and risk evaluation. Benefits of compiled data in the mortgage sector include efficient underwriting, streamlined applications, risk mitigation, and adherence to regulatory requirements.

How data compilation can be done?

There are various techniques for primary data collection, including: a. Surveys and Questionnaires: Researchers design structured questionnaires or surveys to collect data from individuals or groups. These can be conducted through face-to-face interviews, telephone calls, mail, or online platforms.

What is the data life cycle?

A data lifecycle illustrates how data (in all its various forms and derivatives, including data points, datasets, databases, data files, visualizations, and code) conceptually flows through its lifecycle of usefulness.

What is data method?

Data collection is a process of gathering information from all the relevant sources to find a solution to the research problem. It helps to estimate the outcome of the situation. The data collection methods enable you to conclude an answer to the relevant question.