Seu SlideShare está sendo baixado. ×

# ANALYZING-THE-MEANING-OF-THE-DATA-ANG-DRAWING-for-edit.pptx

Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Próximos SlideShares
Statistics Class 10 CBSE
Carregando em…3
×

1 de 22 Anúncio

# ANALYZING-THE-MEANING-OF-THE-DATA-ANG-DRAWING-for-edit.pptx

analyzing the meaning of data

analyzing the meaning of data

Anúncio
Anúncio

Anúncio

### ANALYZING-THE-MEANING-OF-THE-DATA-ANG-DRAWING-for-edit.pptx

1. 1. ANALyzing the meaning of the Practical Research I GROUP 8
2. 2. ARIOSTO FRANCO ESMIE SANTOS KHELLY ESPINO GODDEVIE SALINAS NHOSLYN TOLENTINO GROUP 8
3. 3. TABLE OF CONTENT QUALITATIVE DATA 1 QUANTITATIVE DATA DIFFERENCE BETWEEN qualitative and quantitative data Presentation of data 2 3 4 5 Types of graph
4. 4. quAlitative data 01
5. 5.  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
6. 6. OF QUALITATIVE DATA o Documents o Photographs o Recordings o Scent, Beauty, colors etc o Describes qualities or characteristics
7. 7. quAntitative data 02
8. 8. 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.
9. 9. 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
10. 10. Difference between quAlitative data and quantitative data 03
11. 11. 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
12. 12. Presentation of Data 04
13. 13. 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
14. 14. 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.
15. 15. 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.
16. 16. 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.
17. 17. 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.
18. 18. Analyzing Data 05
19. 19. 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.
20. 20. 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