2. MEANING
• Coding is the process of labeling and organizing your
qualitative data to identify different themes and the
relationships between them.
• Coding is a qualitative data analysis strategy in which some
aspect of the data is assigned a descriptive label that allows
the researcher to identify related content across the data.
3. • Process of assigning numerical values to responses that are
originally in a given format such as numerical, text, audio or
video.
4. OBJECTIVES OF CODING OF DATA
• The main objective is to facilitate the automatic treatment of
data for analytical purposes.
• Coding allows programmers to build programs, such as
websites and apps. Computer programmers can also tell
computers how to process data in better, faster ways.
5. • Entrepreneurs who have mastered app development will be
able to relate to the tech team and comprehend the difficulties
they face. This makes teamwork stronger and increases
productivity
• Coding can be applied to data visualisation.
8. Examples
• Examples of programs and things built with code are websites,
web applications, mobile applications, games, and artificial
intelligence systems.
9. Advantages of Coding
• Coding helps researchers to identify patterns, themes, and
relationships in the data, and to generate insights and
interpretations.
• Data entries can be accurate
• Less storage space required
10. DISADVANTAGES OF CODING
• Meaning of data can be obscured
• Value of judgements are difficult to code
• Entry may be slow
