Demographic data representation in Nvivo

The previous article explained how to generate queries within the data processed. This article explains the succeeding step of data visualization of results generated for the case research. Data visualization is a technique for data representation in the form of tables, charts and diagrams. This article explains representation of demographic information of the participants (e.g. teachers) based on nodes in Nvivo. For demographic data representation, Nvivo has a special feature known as ‘Classification’. This article will cover following items:

  1. To create classification.
  2. To link case nodes to classification.

How to create classification for demographic data representation in Nvivo?

Classification stores any type of information about the participants or source or both. It represents data according to demographic variables. For example, for the case research, it will indicate the teaching preference of teachers as per location. The first step is to create a case classification.

  1. Go to ‘Classification’.
  2. Select ‘Create’.
  3. Click on ‘Case classification’.
  4. Select ‘Create a new classification’.
  5. Lastly, enter name and click on ‘OK’.

The ‘Name’ and ‘Description’ fields of the case classification will be recorded. Here the classification is named as ‘Participants’. Then click on ‘Ok’. Filling out ‘Description’ box is optional, therefore it can be left blank (figure below).

Figure 1: Dialogue box for creating new classification for data representation

Figure 1: Dialogue box for creating new classification

A new classification ‘Participants’ appears in the ‘Classification’ window. To view it:

  1. Click on ‘Classification’ (Main Menu).
  2. Click on ‘Case Classification’.

Adding demographic details

To add demographic details into the case classifications participants:

  1. Click on ‘Participants’.
  2. Click on ‘Create’.
  3. Lastly, select ‘Attributes’.

A dialogue box will appear in order to add attributes (demographic details) in ‘Classification’ (participants). ‘General’ tab of the dialogue box indicates general details like name and description of the attribute. For instance, in the case research, the first demographic information was location of the school. So name this attribute as ‘Location’.

Figure 2: 'New Attribute for Classification' window in Nvivo for data representation

Figure 2: ‘New Attribute’ dialogue for classification window in Nvivo

The ‘Values’ tab allows to add options. These options are different responses generated during an interview. This case research includes eight schools from four regions of Delhi. Therefore, the options for locations are North Delhi, South Delhi, East Delhi and West Delhi. To enter the locations, click on ‘Add’ (figure below). Thereafter, click on ‘Ok’.

Figure 3: To add values of demographic details in ‘Attributes’ dialogue box

Figure 3: To add values of demographic details in ‘Attributes’ dialogue box

Similarly, create other attributes like years of experience, classroom strength, number of subjects, and number of classes for teachers. All responses entered will be recorded. After adding all the necessary attributes recorded during interview, the case classification (participants) will emerge:

Figure 4: Case classification

Figure 4: Case classification

To link case nodes to classification

To view all the attributes or demographic details according to all the participants, connect nodes to the case classifications. Moreover, connection between them helps to view the attributes of the participants or variables in two ways. Here, to view the attributes in participant classification as per the case nodes of participants:

  1. Click on ‘Nodes’.
  2. Click on ‘Case Nodes’.
  3. Select all the case nodes.
  4. Right click and click on ‘Classification’.
  5. Finally, select case classifications (participants in present case).
Figure 5: Linking all the case nodes with classification

Figure 5: Linking all the case nodes with classification

The attributes as per the participants now appear in the form of two way tables (figure below):

  1. Click on ‘Classifications’.
  2. Select ‘Participants’.
Participants with two way table

FIgure 6: Participants with two way table in detail view

Selecting demographic details of each participant

Select the demographic details of each of the participant manually using the filters of the detail table. In order to do so, you can select manually the location of all the participants in the two ways table.

Selecting location in the two way table

Figure 7: Selecting location in the two way table

This article explained how demographic information of participants is arranged and visualised using ‘Classification’ feature. Classification feature helps to store all the demographic information at one place. Here the participants’ location, years of experience, classroom strength, subjects, number of classes etc. were classified. It connected their perception or attitude to quality of education, represented through qualitative representation and queries.

Generating Nvivo matrix coding queryQualitative data representation in Nvivo

Priya Chetty

Partner at Project Guru
Priya is a master in business administration with majors in marketing and finance. She is fluent with data modelling, time series analysis, various regression models, forecasting and interpretation of the data. She has assisted data scientists, corporates, scholars in the field of finance, banking, economics and marketing.

Related articles

  • Data visualisation through concept maps in Nvivo Mind maps portray the connection between nodes. Concept maps on the other hand help visualise thoughts, define concepts and contemplate the connections.
  • Data visualisation using mind maps in Nvivo Mind maps are used to brainstorm ideas and visualize thoughts. A mind map begins with a main idea around which associated elements are drawn. They are useful for representing a node hierarchy.
  • Qualitative data representation in Nvivo This article explains qualitative data representation in NVivo. Visualisation takes place on attitudes or perceptions of participants on certain issues. With the use of different tools, visualisation takes place on different qualitative items of projects.
  • Data visualisation using cluster analysis Cluster analysis serves as an extension to qualitative data representation through data visualisation. It is an exploratory technique for visualising patterns in a study by grouping sources or nodes.
  • Generating Nvivo matrix coding query Queries can be generated in Nvivo by 3 ways; words, content and matrix coding. Not only words but also by number of nodes or classification in different nodes and attributes. For that purpose, Nvivo matrix coding query is useful.


We are looking for candidates who have completed their master's degree or Ph.D. Click here to know more about our vacancies.