data processing after collecting data in community diagnosis

1. DATA PROCESSING
Presented by:
.Anjali Das
.Aanand Mahato
.Aarti Sah
.Anish Sah
.Anshu Sah HA 3rd year

2. CONTENTS
1. Introduction
2. Data processing
3. Types of data processing
4. Characters of data processing
5. Steps of data processing and its application
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3. DATA
➢Data is a information such as facts and numbers used to
analyze something to make decisions.
PROCESSING
➢The act or process of treating or preparing something by a
special method is called processing.
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4. DATA PROCESSING
➢Data processing is the collection of information and process
of producing meaningful information by collecting all items
of data together and systematically analyzed on them to
extract the required information about them .
➢The strategic goal of data processing is to convert raw data
into meaningful information that improves current situation
resolution and existing problems.
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5. ➢The data processing also known as to convert collected
data into information or knowledge.
➢The data processing is generally done either manually using
data master sheet (tally counting in dummy table).
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6. TYPES OF DATA PROCESSING
1. Manual data processing [By hand]
2. Mechanical data processing [By machine/calculator]
3. Electronic data processing [By electronic device /
computer]
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7. 1. MANUAL DATA PROCESSING
➢ Without using a machine or any sort of tools , data
processing can be done by hand.
➢ Data is manually collected and moved from one place to
another.
➢ This is generally the case when budgets are low
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8. 2. MECHANICAL DATA PROCESSING
➢Data is processed without human intervention using
machines and computers to automate the process.
➢This includes using simple devices such as calculators ,
typewriters , etc.
➢There are less errors and the processing is faster.
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9. 3. ELECTRONIC DATA PROCESSING
➢Electronic data processing is the world’s most modern ,
effective and efficient data processing method.
➢With the power of a computer , data can be transformed
from input to output.
➢It is more effective and analytical than manual and
mechanical data processing.
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10. STEPS OF DATA PROCESSING
1.Data Editing
2.Data Coding
3.Data Tabulation
4.Data Analysis And Interpretation
5.Data Presentation
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11. 1. DATA EDITING
➢It is the first step of data processing . The data editing
should be clean, free from incomplete and irregularities.
➢Editing of data is process of examining the collected data
to detect errors and to correct them.
➢The enumerators and field worker record the required data
during days and return at evening and edit the data.
➢If the data recorded is in abbreviated form the field editors
should write it in full form so that it will be easy for further
process such as coding , tabulation and analysis.
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12. APPLICATION OF DATA EDITING
➢It detects and corrects errors of the data.
➢It provides correct information on the quality of the data at
micro-level and macro-level.
➢It helps to improve the statistical process.
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13. 2. DATA CODING
➢After editing , the second important step is ‘’coding’’.
➢Coding refers to the process of assigning in numbers
systematically for each response category.
➢It is symbolized according to variables categories such as
Hindu=0,Buddhist=1,Christian=2,Muslim=3,Others=4,it makes
effective and easier for the data tabulation.
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14. ➢ Here are some examples of coding the data:
S.N Question Coded answer categories
1. Age in year 20-30[0]
31-40[1]
41-50[2]
51-60[3]
2. Sex Male[0]
Female[1]
3. Marital status Married[0]
Unmarried[1]
Separated[2]
Widowed[3]
4. Education level No formal education[0]
Basic education[1]
Secondary level education[3]
Universities education[3]
5. Types of occupation Service[0]
Farmer[1]
Business[2]
Labor[3]
Others[4]
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15. APPLICATION OF DATA CODING
➢It allows the researcher to reduce large quantities of
information into a form that can be handled more easily.
➢It makes data entry more accurate.
➢It ensures that analysis is undertaken systematically or not.
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16. 3. DATA TABULATION
➢This means presentation of the data in form of table.
➢It is the most common and preliminary way of presenting of
the data.
➢The table can be qualitative or quantitative.
➢The basic principle of tabulation of data are;
.The information should be in a simple and orderly manners.
.Rows and columns must have their own caption.
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17. APPLICATION OF DATA TABULATION
➢It allows for easier comparison by putting relevant data
closer together.
➢It helps in arranging and organizing data in a tabular form.
➢It provides clear and organized structure for presenting
data.
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18. 4. DATA ANALYSIS AND INTERPRETATION
➢The data analysis should be done after tabulation and
processing of data .
➢The data analysis deals with frequency counts .
➢ Interpretation of findings is most important aspect of a
study and it refers to bring out the meaning of data.
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19. APPLICATION OF DATA ANALYSIS AND
INTERPRETATION
➢It helps to use the power of data , enabling them to make
decisions and optimize the process.
➢It assists researchers in manipulating and summarizing the
data to answer critical questions.
➢This process analyzes and revises data to recognize
emerging patterns and behaviors.
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20. 5. DATA PRESENTATION
➢The data presentation is important and final step of data
processing.
➢The presentation is conducted after the collection , analysis
and interpretation of the data.
➢The data presentation can be done by using different
graph , chart , table , histogram and pie chart.
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22. APPLICATION OF DATA PRESENTATION
➢Data presentation helps to identify community health
problems .
➢It helps to understand the problem , improving the health
status , taking the decision and health action .
➢It identifies the real needs of community and make easier
to improve the current status by encouraging community
members .
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