Research quarter 4

• Document Review


  A data collection method that involves analyzing and evaluating documents to gather information for research purposes. It is a qualitative research method that can be used to gain insights into people's activities, culture, and how they present themselves.
• Interviews


  A qualitative research method used to collect primary data by asking one or more people about their opinions, experiences or perspectives on a particular topic or subject matter.
• Focus Groups


  A group interview of approximately six to twelve people who share similar characteristics or common interests. A facilitator guides the group based on a predetermined set of topics. The facilitator creates an environment that encourages participants to share their perceptions and points of view.
• Surveys


  Data collection surveys collect information from a targeted group of people about their opinions, behavior, or knowledge. Common types of example surveys are written questionnaires, face-to-face or telephone interviews, focus groups, and electronic (e- mail or website) surveys.
• Observation or Testing


  The observation method of data collection involves seeing people in a certain setting or place at a specific time and day. Essentially, researchers study the behavior of the individuals or surroundings in which they are analyzing.
• Organizing data


  An integral part of the qualitative research process. It involves arranging the collected data systematically to enhance comprehension, ease analysis, and unveil meaningful insights.
• Classifying data


  Refers to the process of categorizing information based on its sensitivity, importance, or other criteria. This classification helps determine how the data should be handled, stored, transmitted, and protected. It typically involves labeling data with tags or metadata that indicate its level of confidentiality, such as public, internal use only, confidential, or highly sensitive.
• Purpose of data classification

  Systematic classification of data helps organizations manipulate, track and analyze individual pieces of data. Data professionals often have a specific goal when categorizing data. The goal affects the approach they take and classification levels they use.
• Types of data classification

  • Qualitative (categorical)
  • Numerical (quantitative)
  • Temporal
  • Spatial
• it measures data represented by a name or symbol.

  Qualitative /categorical it measures data represented by a name or symbol.y a name or symbol.
• Numerical (quantitative) data


  Known as both quantitative and numerical data, its values will always be in a number form.
• Importance of data classification

  Data classification is an important part of data lifecycle management that specifies which standard category or grouping a data object belongs in. Once sorted, data classification can help ensure an organization adheres to its own data handling guidelines and to local, state and federal compliance regulations.
• Textual data


  Refers to any information or message conveyed in written or printed form. It can include everything from books, articles, and surveys to social media posts, chat conversations, and emails.
• Tabular data


  Data that is displayed in columns or tables, which can be created by most BI tools. These tools find relationships between data entries in one or more database, then use those relationships to display the information in a table.
• Methods of presenting data

  • Graphical representation
  • Line graphs
  • Bar graphs
  • Histograms
  • Pie charts
  • Flow charts
  • Infographics
• LINE GRAPHS 


  Display change over time as a series of data points connected by straight lines on two axes.
• BAR GRAPHS


  Are pictorial representations of data, with the length of bars proportional to the measure of data.
• Temporal classification 


  In this classification, time becomes the categorising variable and data are classified according to time. Time, maybe in years, months, weeks, days, hours, etc.,
• Spatial classification 


  When the categorisation is done on the basis of location, it is known as spatial classification. The place may be a country, state, district, block, village/town, etc
• Qualitative classification


  When the classification is done according to traits such as physical status, nationality, social status, etc., it is known as qualitative classification.
• Quantitative


  classification In this, the data is classified on the basis of features that are quantitative in nature. In other words, these features can be estimated quantitatively.
• Histograms 


  Display quantitative data, similar to box plots or stem and leaf plots. It is a graphical representation of the frequency distribution of continuous series using rectangles.
• FLOW CHART


  Represent a process, with each step represented as a symbol connected with arrows.
• INFOGRAPHICS


  Are effective in delivering data and analysis in a visually pleasing format, keeping people's interest by lending a storytelling and visual element to research.
• Pie Charts 


  Divide a circle into sectors representing a proportion of the whole
• PRESENTATION GRAPHICAL 


  is a method of analyzing numerical data, illustrating relationships between data, ideas, information, and concepts in a diagram. It is an essential learning strategy and can be used to present complex or numerous data.