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1. • • Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation.
     kids.kiddle.co › Qualitative_research

     Qualitative research Facts for Kids

2. Top results related to qualitative data science definition for kids melt

   • Qualitative Data: Definition, Types, Examples, and FAQs

     In the field of analysis, the term “qualitative data” and “quantitative data” are used frequently. Quantitative and Qualitative are the two sides of the coin named “Data in Statistics” but as many people are familiar with quantitative data (i.e., numerical data of various sorts), qualitative data is often less understood. Understanding the qualitative data is essential for researchers, analysts, decision-makers, or anyone who wants to gain deep insights into people’s behaviors, attitudes, and experiences. 

     In this article, we have tried to explain Qualitative data in simple and easy-to-understand language and this article can be a comprehensive guide for Quantitative data. In this article, we will explore the world of qualitative data, with different approaches to its analysis, and also learn about the advantages and disadvantages of the same.

     Types of Data in Statistics

     The grouping of data can be based on the quantitative and qualitative aspects of the gathered information, hen data can be classified into the following types:

     • Qualitative Data
     • Quantitative Data

      

     What is Qualitative Data?

     Qualitative Data uses variables to represent labels or characteristics of entities or objects, such as...

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   • Qualitative Data: Definition, Types, Examples, and FAQs

     In the field of analysis, the term “qualitative data” and “quantitative data” are used frequently. Quantitative and Qualitative are the two sides of the coin named “Data in Statistics” but as many people are familiar with quantitative data (i.e., numerical data of various sorts), qualitative data is often less understood. Understanding the qualitative data is essential for researchers, analysts, decision-makers, or anyone who wants to gain deep insights into people’s behaviors, attitudes, and experiences. 

     In this article, we have tried to explain Qualitative data in simple and easy-to-understand language and this article can be a comprehensive guide for Quantitative data. In this article, we will explore the world of qualitative data, with different approaches to its analysis, and also learn about the advantages and disadvantages of the same.

     Types of Data in StatisticsThe grouping of data can be based on the quantitative and qualitative aspects of the gathered information, hen data can be classified into the following types:

     • Qualitative Data
     • Quantitative Data

      

     What is Qualitative Data?Qualitative Data uses variables to represent labels or characteristics of entities or objects, such as movie genres or travel methods. The labels cannot be represented...

     • Interview transcripts: Data collected from survey forms after the interviews can provide rich qualitative data that describes the opinions, attitudes, and experiences of participants.
     • Observation notes: When observing a behavior or phenomenon, recorded data of that phenomenon is also an example of qualitative data as it can tell us about the characteristics, context, and nuances of the observed phenomenon.
     • Open-ended survey responses: In a survey, there are some open-ended questions sometimes to know about the participant’s experiences, perceptions, and opinions on a given topic. This data is also an example of qualitative data.
     • Qualitative data is descriptive in nature i.e., it describes and explains the phenomenon in-depth, and often provides rich contextual information as well.
     • Qualitative data is non-numerical in nature, i.e., it is in the form of notes, photos, and survey forms.
     • As this data is descriptive and non-numerical, it can be interpreted by different people differently, thus the analysis of this kind of data varies with the researcher.
     • In Qualitative data collection, collected data is not very specific. It has open-ended responses and detailed answers and experiences provided by the participants.
     • Nominal Data
     • Ordinal Data
     • Deductive Approach
     • Inductive Approach
     • The first step in this approach is to develop a theoretical framework based on thorough research, which further will be proved by the data or not.
     • After the completion of the framework or hypothesis, we collect the data using various means.
     • After the collection of data, we use programming languages to code Machine Learning models to find the patterns which are relevant to our hypothesis.
     • After all this, we analyze the results and draw a conclusion on whether our hypothesis is correct or not or if it needs much more data to conclude.
     • In this approach, we first collect the data using various methods such as interviews, observations, and various focus groups. This data is usually in the form of audio recordings, transcripts, notes, or photos.
     • After the collection of data, basic coding procedures start which helps us identify and label the segments of data which represents similar idea and concepts.
     • After the labeling and identification of data are complete, some basic patterns arise in the data, which need further research and pattern finding where the Machine Learning models are used.
     • After all the research data is used as evidence to publish the findings of the research. Now a hypothesis or framework is developed using all the themes and patterns to support the framework.
     • Richness and depth of data: Qualitative data provides a rich and in-depth understanding of the phenomenon being studied and can also reveal complex relationships, social norms, and cultural practices.
     • Flexibility: Qualitative research is flexible, which means that researchers can adapt their methods of collection, amount and type of data collected, and analysis to the specific needs of the study. 
     • Participant perspectives: Qualitative data is often collected through interviews, which provide the researcher with the opportunity to understand participants’ perspectives. 
     • Uncovering hidden phenomena: Qualitative data is particularly useful when researchers want to explore new or under-researched topics. This type of data can reveal previously unknown phenomena or provide insight into existing topics.
     • Subjectivity: As qualitative data is often collected through interviews or observations, that’s why the researcher’s own biases and beliefs can influence the data and that can lead to subjective interpretations of the data.
     • Small sample sizes: Qualitative research typically involves small sample sizes, which can limit the generalizability of the findings. 
     • Time-consuming: Qualitative research can be time-consuming, particularly when compared to quantitative research as all the steps in this type of data are time-consuming from collection to analysis.
     • Difficulty in data analysis: Qualitative data is often complex and difficult to analyze. Researchers need to be skilled in data analysis and interpretation to ensure that their findings are accurate and reliable.
     • Different Types of Data
     • Difference Between Qualitative and Quantitative Data
     • What is the total price if someone buys all three brands of phones?
     • Find the average price of all the phones.
     • Total number of students = 30k + 55k + 45k = 130k
     • Average of the price of all the Phones = (30 + 55 + 45)/3 = 130/3 = 46.67 k
     • Deductive Approach
     • Inductive Approach
     • Qualitative data provides in-depth information about a subject or phenomenon. 
     • It can also provide rich descriptions of the context and social interactions surrounding the subject or phenomenon. 
     • Qualitative data can be more flexible in terms of data collection and analysis methods, allowing for more creative and iterative approaches to research.
     • Qualitative data can be time-consuming and resource-intensive to collect and analyze. 
     • As qualitative data is subjective and interpretive, there may be concerns about the reliability and validity of the data. 
     • Qualitative data may also be less generalizable than quantitative data, as it is often focused on specific contexts and perspectives.

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   • Melt data for one column

     Top Answer

     Answered Aug 25, 2013 · 4 votes

     I don't know what you tried, but both of the following options work for me.

     Assuming your data.frame is called "mydf":

     Option 1: stack from Base R

     cbind(mydf[1], stack(mydf[-1]))# datetime values ind# 1 2010-01-01 4 stock# 2 2010-01-02 7 stock# 3 2010-01-03 2 stock# 4 2010-01-04 9 stock

     Option 2: melt from "reshape2"

     library(reshape2)melt(mydf, id.vars="datetime")# datetime variable value# 1 2010-01-01 stock 4# 2 2010-01-02 stock 7# 3 2010-01-03 stock 2# 4 2010-01-04 stock 9

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     3/5

   • definition for data types in assembly language

     Top Answer

     Answered Nov 16, 2014 · 1 votes

     Many assemblers use a ? like myVar db ? to clearly show you don't care about the initialization value. But even then most of the time the space will be filled with zeroes.

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     4/5

   • Melt yearly hourly data to create daily averages by month then plot for comparison

     Top Answer

     Answered Jul 13, 2017 · 1 votes

     I don't see any gross mistakes in your code, so it's just a matter of clearing it up.

     For example you can use tidyr's gather instead of the old melt, I'd use dplyr::mutate with lubridate's year(), month() and hour() instead of separate, and finally summarize_at, instead of summarize_each (which is now deprecated and creates the NAs).

     library(dplyr)library(tidyr)library(lubridate)df_month <- df %>% gather(hours, Load, -Date) %>% mutate(year = year(Date), month = month(Date, label = TRUE), hour = hour(as.POSIXct(hours, format = '%I:%M %p'))) %>% group_by(year, month, hour) %>% summarise_at(vars(Load), mean, na.rm = TRUE)

     To create a ggplot from this data.frame is easy, the only particular thing to pay attention is the fact that the color aes have to be mapped to two variables, and that's why we use a interaction:

     library(ggplot2)ggplot(df_month) + geom_line(aes(hour, Load, color = interaction(month, year, sep = '-'))) + scale_y_continuous(limits = c(2, NA)) + scale_colour_discrete('')

     (Data has been filtered in the plot to match the example, and also because data is random noise that makes an ugly graph)

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     5/5

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3. People also ask

   What is qualitative research?

   • Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation.

   Qualitative research Facts for Kids

   kids.kiddle.co/Qualitative_research

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   What is qualitative data?

   • Answer: Qualitative data is the non-numerical data which describes the qualities, characteristics, and other descriptive information about the phenomenon or the subject for which data is collected. Q2: What are Some Examples of Qualitative Data?

   Qualitative Data: Definition, Types, Examples, and FAQs - GeeksforGeeks

   www.geeksforgeeks.org/qualitative-data/

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   What is qualitative observation?

   • Revised on June 22, 2023. Qualitative observation is a research method where the characteristics or qualities of a phenomenon are described without using any quantitative measurements or data. Rather, the observation is based on the observer’s subjective interpretation of what they see, hear, smell, taste, or feel.

   What Is Qualitative Observation? | Definition & Examples - Scribbr

   www.scribbr.com/methodology/qualitative-observation/

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   How does qualitative research generate understanding in the iterative process?

   • However, qualitative research generates understanding in the iterative process when the researcher gets closer to the data, e.g., by going back and forth between field and analysis in a process that generates new data that changes the evidence, and, ultimately, the findings.

   What is Qualitative in Qualitative Research - PMC - National Center for

   www.ncbi.nlm.nih.gov/pmc/articles/PMC6494783/

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4. kids.kiddle.co › Qualitative_researchQualitative research Facts for Kids

   kids.kiddle.co › Qualitative_research

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   Oct 17, 2023 · Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation. This type of research typically involves in-depth interviews, focus groups, or observations in order to ...

5. www.geeksforgeeks.org › qualitative-dataQualitative Data | Definition, Types, Examples, and FAQs

   www.geeksforgeeks.org › qualitative-data

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   • Types of Data in Statistics
   • What Is Qualitative Data in Statistics?
   • Qualitative Data Examples
   • Types of Qualitative Data
   • Qualitative Data Analysis
   • Advantages and Disadvantages of Qualitative Data
   • Sample Questions on Qualitative Data
   • Summary – Qualitative Data

   The grouping of data can be based on the quantitative and qualitative aspects of the gathered information, and data can be classified into the following types: 1. Qualitative Data 2. Quantitative Data

   See full list on geeksforgeeks.org

   Qualitative Data uses variables to represent labels or characteristics of entities or objects, such as movie genres or travel methods. The labels cannot be represented in numerical form, and their numerical values may not hold any significance. Qualitative data is also known as categorical data it is expressed through indicators and deals with perc...

   See full list on geeksforgeeks.org

   There are several examples of Qualitative Data in the real world, some of these examples are: 1. Interview transcripts:Data collected from survey forms after the interviews can provide rich qualitative data that describes the opinions, attitudes, and experiences of participants. 2. Observation notes: When observing a behavior or phenomenon, recorde...

   See full list on geeksforgeeks.org

   Qualitative data can be further categorized into the following types: 1. Nominal Data 2. Ordinal Data Let’s understand these types in detail as follows.

   See full list on geeksforgeeks.org

   Analysis of data is a much more crucial part than the collection of it as data in itself without analysis didn’t tell us anything about the phenomenon for which it is collected. As for the analysis of Qualitative Data, there can be two main approaches: 1. Deductive Approach 2. Inductive Approach

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   There are advantages and disadvantages to using Qualitative Data, as data is very rich in nature so a collection of this type of data is very useful for many cases, but there are some disadvantages of it as well. Let’s dive into the advantages and disadvantages of Qualitative Data in detail.

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   Question 1: To which category, the game data for the game “name, place animal or thing” will belong? Solution: Question 2: Which type of data is used by the evaluator to grade the students using a range of marks? Solution: Question 3: The following table depicts the percentage of people who prefer a certain movie genre. Can you represent this categ...

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   Qualitative data represents information that isn’t expressed in numerical form, like feelings, opinions, or observations. It’s collected through methods such as interviews or observations and can provide rich insights into behaviors and experiences. This type of data is useful for understanding complex phenomena and uncovering new insights. Analysi...

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6. journals.sagepub.com › doi › fullChildren’s analysis processes when analysing qualitative ...

   journals.sagepub.com › doi › full

   Jul 9, 2017 · This article presents an examination of the processes that children use when analysing their own qualitative research data as observed within a qualitative research project. It provides insight into the ability to increase the richness of data obtained when researching with children, by including their perspectives and contributions in the data ...

   • Author: Jenna K Gillett-Swan

   • Publish Year: 2018

7. www.ncbi.nlm.nih.gov › pmc › articlesHow to use and assess qualitative research methods - PMC

   www.ncbi.nlm.nih.gov › pmc › articles

   May 27, 2020 · Qualitative research is defined as “the study of the nature of phenomena”, including “their quality, different manifestations, the context in which they appear or the perspectives from which they can be perceived”, but excluding “their range, frequency and place in an objectively determined chain of cause and effect” [ 1 ].

8. study.com › academy › lessonQualitative Data | Definition & Examples - Lesson | Study.com

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   Nov 21, 2023 · Qualitative data is information regarding certain properties or qualities that cannot be measured or represented with numerical symbols, such as feelings and...

   • Video Duration: 3 min

   • What is considered qualitative data?

     Qualitative data is information regarding properties or qualities. That is, information that cannot be meaningfully represented with numerical symb...
   • What are some examples of quantitative and qualitative data?

     Examples of quantitative data include length, width, height, velocity, mass, temperature, and time. Examples of qualitative data include color, fee...

9. journals.sagepub.com › doi › 10‘Will polar bears melt?’ A qualitative analysis of children’s ...

   journals.sagepub.com › doi › 10

   Sep 4, 2020 · Children aged 10–12 from 14 UK schools took part in an online event, asking scientists questions in a ‘climate zone’. The questions were analysed using thematic analysis. The themes related to the nature and reality of climate change, its causes, impacts, and solutions.

10. www.ncbi.nlm.nih.gov › pmc › articlesWhat is Qualitative in Qualitative Research - PMC

    www.ncbi.nlm.nih.gov › pmc › articles

    Feb 27, 2019 · We define qualitative research as an iterative process in which improved understanding to the scientific community is achieved by making new significant distinctions resulting from getting closer to the phenomenon studied.

    • Author: Patrik Aspers, Patrik Aspers, Ugo Corte

    • Publish Year: 2019