analyzing the meaning of data

1. ANALyzing the meaning
of the
Practical Research I
GROUP 8

4. ARIOSTO FRANCO
ESMIE SANTOS
KHELLY ESPINO
GODDEVIE SALINAS
NHOSLYN TOLENTINO
GROUP 8

5. TABLE OF CONTENT
QUALITATIVE DATA
1
QUANTITATIVE DATA
DIFFERENCE BETWEEN qualitative and
quantitative data
Presentation of data
2
3
4
5 Types of graph

6. quAlitative
data
01

7.  Qualitative data describes qualities or characteristics. It is
collected using questionaries, interviews or observation
and frequently appears in narrative form.
 Qualitative data may be difficult to precisely measure and
analyze. The data may be in form of descriptive words
that can be examined for patterns or meaning, sometimes
through the use of coding.
Qualitative data

8. OF QUALITATIVE DATA
o Documents
o Photographs
o Recordings
o Scent, Beauty, colors etc
o Describes qualities or characteristics

9. quAntitative
data
02

10. QUANTITATIVE DATA
 Quantitative data are used when a researcher is trying to
Quantify a problem , or address the “what” or “how many”
aspects of research question. It is data that can either be
counted or compared on a numeric scale
 This data are usually gathered using instruments,
such as a questionnaire which includes a ratings
scale or a thermometer to collect weather data.

11. OF quantitative DATA
o Age in month or years
o Weight in kilograms
o Length in centimeters
o Distance in kilometers
o Height in feet or inches
o Number of weeks in a year

12. Difference between
quAlitative data and
quantitative data
03

13. Difference between
and
Qualitative data QUANTITATIVE DATA
Qualitative data
Quantitative data
Descriptive, relating to words and language. Countable or measurable, relating to numbers.
Describe certain attribute and help us to understand the
“why” or “how” behind certain behaviors.
Tell us how many, how much o how often.
Dynamic and subjective, open to interpretation. Fixed and universal, “factual.”
Gathered through observations and interviews Gathered by measuring and counting things.
Analyzed br groupings the data into meaningful themes or
categories
Analyzed using statistical analysis

14. Presentation of
Data
04

15. graphs
a diagram representing a system of connections or
interrelations among two or more variables by a number
of distinctive dots, lines, bars, etc.
 Bar Graph/Chart
 Line Graph/Chart
 Pie Chart
 Area Chart
 Radar Chart
 Spline Chart
 Histogram Chart
 Dot Or Plot Graph
 Bubble Chart
 Pictogram Graph
Types of graph

16. 3 Most common graph
Line graph
Line graphs are represented by a group of data
points joined together by a straight line. Each
of these data points describes the relationship
between the horizontal and the vertical axis on
the graph.
Pie graph
A bar chart is a graph represented by spaced
rectangular bars that describe the data points
in a set of data. It is usually used to plot
discrete and categorical data.
bar graph
A pie chart is a circular graph used to illustrate
numerical proportions in a dataset. This graph
is usually divided into various sectors, where
each sector represents the proportion of a
particular numerical element in the set.

17. TABLES
A table is an arrangement of information or data,
typically in rows and columns, or possibly in a more
complex structure. Tables are widely used
in communication, research, and data analysis.
Tables appear in print media, handwritten notes,
computer software, architectural ornamentation,
traffic signs, and many other places.

18. Difference table
 One-variable data tables are efficient in the
case of analyzing the changes in the result of
your formula when you change the values for a
single input variable.
One-variable data and two-variable data table
 Two-variable data tables are useful in scenarios
where a user needs to observe the changes in the
result of their formula when they change two input
variables simultaneously.

19. INFOGRAPHICS
An infographic (or information
graphic) is “a visual representation
of information or data”. An
infographic is a collection of
imagery, data visualizations like
pie charts and bar graphs, and
minimal text that gives an easy-to-
understand overview of a topic.
STATISTICAL INFOGRAPHICS
make use of typography, charts and graphs to present
research, facts and figures in a visual way. This helps
make data look more interesting and easier to digest than
a bunch of plain numbers or tables.
3 common types of
INFOGRAPHICS
INFORMATIONAL INFOGRAPHICS
use a mix of text and visual elements to explain or simplify
a topic, or guide readers through a series of steps.
PROCESS INFOGRAPHICS
usually make use of flowcharts, diagrams and even
timelines to guide readers through a series of steps or to
help simplify the decision-making process.

20. Analyzing Data
05

21. Analyzing data
 Analysis of data is a process of inspecting, cleaning,
transforming, and modeling data with the goal of
highlighting useful information, suggesting
conclusions, and supporting decision making. Data
Analysis is a process, within several phases can be
distinguished.
 In simple words, data analysis is the process of
collecting and organizing data in order to draw helpful
conclusion from it. The main purpose of data analysis
is to find meaning in data so that the derived
knowledge can be used to make informed decisions.

22. Process of data analysis
Ask the right questions – Define
the target of your data analysis
2 Measure
Collect valid data - improve your data
quality if necessary
3 Analyze
4 Improve
5 Control
1 Define
Analyze your data – Facilitate better process
understanding and develop solutions
Implement your solution – optimize your process
efficiency
Assess the benefits of your solutions – create
framework conditions for long-term use