Develop and appreciation for the significance of clear and impactful data presentation through written communication in charts and graphs.
Experimenting, Gathering Data, Organizing Data, Analyzing and Interpreting Data are different types of data processing skills.
Quantitative Data answers key questions such as “how many, “how much” and “how often” and can be expressed as a number or can be quantified.
Discrete data can take only certain values and the data variables cannot be divided into smaller parts.
Continuous Data is information that could be meaningfully divided into finer levels and can be measured on a scale or continuum and can have almost any numeric value.
Qualitative Data consists of words, pictures, and symbols, not numbers and is also called categorical data because the information can be sorted by category, not by number.
Nominal Data is just a name without applying it to order and can be sorted into categories.
Ordinal Data shows where a number is in order and is data which is placed into some kind of order by their position on a scale.
Data collection is an extensive procedure of gathering details about a particular topic in a systematized manner and the collected information must answer the primary questions about the topic of interest.
Questionnaires are a set of questions that are directed towards a topic and the questions are set with the objective of learning an individual’s perspective and testing hypotheses with the same.
Qualitative Data: Questions for this data are usually based on behavior, preferences, perception, emotions, etc.
Quantitative Data: Questions for this data are aggregated into scales or indexes.
Questionnaires and surveys work best when collecting data from a large population as it can be costly and time-consuming to reach a wide audience personally.
Interviews are a method of collecting data by directly asking questions from the respondents and these may be conducted face-to-face, on phone calls, or via video calls.
Interviews are the best data collection method when you are dealing with a relatively small size of respondents and these are recommended when the topics are complicated.
Documents (Document Review) is a type of data collection method where you can collect data from existing sources such as documents and records.
The data you will get from Documents (Document Review) will be secondary data and may be quantitative or qualitative in nature.
In the process of collecting data, the selected individuals conduct a discussion, putting forward their opinions in an informal environment.
Categorical data is a type of data which is placed into some kind of order by their position on a scale or continuum.
Nominal data is a type of data that only considers the name of a thing without applying any measurements.
Ordinal data is a type of data that can be measured on a scale or continuum and can have almost any numeric value.
A table is a systematic arrangement of related data in which a row is designated for each group of numerical data and a column for each subgroup.
Direct Observation can be categorized as Casual or Scientific, Natural, Objective and Subjective, and Participant or Non-participant.
Fixed data is a type of data that can take only certain values and cannot be divided into smaller parts.
Data organization is the practice of categorizing and classifying data to make it more usable.
Direct Observation is a method wherein an observer analyzes the activities and behaviors of individuals in a natural setting.
Requirements for Direct Observation include a setting or situation that can be observed, a system or set of standards to make observations, and the ability to record observations simultaneously.
Tabular presentation of data has several advantages over textual presentation, including the ability to present relationships of a given set or numerical information in definite and understandable forms.
A demographic table provides information about personal or demographic information of the research subjects or settings.
Focus Groups are a process where a relatively small group of people come together to discuss the topic of interest and focus groups allow you to collect data in the form of perspectives of a group to get a collective idea.
The purpose of graphing is to present the variations, changes, and relationships of data in a most attractive, appealing, effective, and convincing way.
A graph is a chart representing the quantitative variations or changes of a variable itself, or quantitative changes of a variable in comparison with those of another variable or variables in pictorial or diagrammatic form.
Bar graphs represent data using rectangular bars of varying lengths or heights, with the length or height of each bar corresponding to the value it represents.
Pictograms use pictures or symbols to represent data, with the pictures scaled to visually represent the quantity they represent.
Statistical maps use geographical or spatial representations to display data, with colors or shading used to indicate different values in different regions.
A comparison table compares groups under one theme.
The essentials of a graph include the organization method, the type of data, the purpose of presentation, and the mode of presentation.
Organizing data can be done through various methods such as comparison tables, graphs, line graphs, pictograms, statistical maps, and ratio charts.
Line graphs use lines to connect individual data points, making them effective in showing trends and changes over a continuous interval.