Data Exploration

All of the above

Reason — Data visualisation communicates information clearly through information graphics such as tables and charts. It also helps users analyse large amounts of data in a simpler way and makes complex data more accessible, understandable and usable.

Data chart

Reason — Line chart, bar chart and pie chart are common visual elements used in data visualisation.

Scatter plot

Reason — A scatter plot displays values for two variables as points plotted on the horizontal and vertical axes. It is used to show relationships or correlations between two numerical variables.

Pie chart

Reason — A pie chart is represented through a circular region divided into segments, where each segment represents a corresponding portion of the total. Hence, it is suitable for comparing proportions of different categories as parts of a whole.

Bar chart

Reason — Bar chart represents data using horizontal or vertical bars and is used to compare values of a single numerical variable across different categories, making the distribution easy to understand.

It is the relationship between three numerical variables.

Reason — A bubble plot visualises three variables with x and y coordinates and bubble size, highlighting relationships and patterns in data.

Bar chart

Reason — Bar graph is a technique to visualise data that uses either horizontal or vertical bars to categorise and compare different quantities.

Line chart

Reason — A line chart is used to display changes or trends and is most often used to evaluate how data changes over time.

1. Charts or Graphs refer to as the graphical representation of data for data visualisation.
2. Bar graph is a technique to visualise data that uses either horizontal or vertical bars.
3. Choropleth map portrays the geographic pattern of a particular subject matter in a geographic area.
4. Scatter plot is best suited for showing the correlation between two numerical variables with a line indicating the trend.
5. A Bubble plot displays three data dimensions using x and y coordinates and bubble size to represent the third variable.
6. In a network graph, a node represents an individual element or entity, such as a person, computer or organisation, connected by the edges.

Both A and R are true and R is the correct explanation of A.

Reason — Pie charts display proportional data by dividing a circle into slices. The size of each slice represents the relative proportion of that category within the whole.

(a) Line Chart

(b) Bubble Chart

(c) Scatter Plot

Line Chart

Reason — A line chart is used to display changes or trends over time. In a line chart, data points are connected in chronological order.

(a) Line Chart should be used to present the overall monthly sales trends throughout the year, as it shows changes in data over time.

(b) Bar Chart should be used to show the comparative sales performance across different regions, as it compares values across different categories.

(c) Pie Chart should be used to display the sales distribution among various product categories, as it shows each category as a portion of the whole.

1. Timeline
2. Heat Map
3. Histogram
4. Scatter Plot

Charts or graphs are graphical representations of data for data visualisation. They are usually represented through X-axis and Y-axis with at least one numerical data on the axes. Charts help to present data in a visual form so that it becomes easier to understand, analyse and interpret.

Plots are graphical techniques used to represent a data set and show the relationship or pattern between two or more variables. They help in understanding correlations, trends and patterns in data. Scatter plot and bubble plot are examples of plots.

Maps use geographical maps as a visual backdrop to display data points or statistical information associated with specific geographic locations. They are useful for showing spatial distribution and regional patterns of data.

Timeline is a graphical representation that displays a sequence of events in chronological order along a linear scale. It is used to illustrate the progression of events, milestones or activities over a period of time. Timelines may be horizontal or vertical and often include dates, labels and brief descriptions. Timelines are commonly used in history, project management, education and research to provide a clear and organised view of temporal relationships and to highlight the timing and duration of key events.

Network Charts are visual representations of the relationships between interconnected entities or nodes. Each node represents an individual element, such as a person, computer or organisation, while the connecting lines or edges depict the relationships or interactions between them. They help in understanding the structure, flow of information and identifying key nodes or potential points of failure within a network.

Word Cloud is a type of visual representation of text data, where words are displayed in varying sizes according to their frequency or importance. In addition to size, words often appear bolder or follow a specific colour scheme depending on their frequency. The more frequently a word appears in the text, the larger it appears in the word cloud. Word clouds are often used to summarise and visualise textual information, making it easy to identify key themes, topics or keywords. They are commonly utilised in fields such as data analysis, market research and content visualisation.

Data visualisation is the process of communicating and translating data and information into visual contexts to make the data easier for the human brain to understand.

The need for data visualisation is as follows:

• It communicates information clearly and efficiently to the users.
• It displays input data through graphical representations using different charts.
• It helps users analyse a large amount of data in a simpler way.
• It supports finding incorrect data and corrupted or missing values.
• It makes complex data more accessible, understandable and usable.

The various techniques used to represent data visualisation are:

1. Plots
2. Charts or Graphs
3. Maps
4. Timeline
5. Network
6. Word Cloud

It is a two-dimensional data visualisation plot that uses dots to represent the values of two different variables. The points are plotted against the horizontal and vertical axes. It is useful for showing relationships between variables and identifying trends or correlations in data.

A Line Chart is used to plot the relationship of one variable on another and to display changes or trends over time. It is ideal for visualising continuous data and identifying trends, patterns and fluctuations over long periods. Line charts are widely used in finance, economics and science to monitor progress, forecast future data and analyse relationships between variables.

Bar Graph is one of the most popular ways to visualise data quickly. The set of data is represented with rectangular bars in an understandable format to the viewers to see height and depth at a glance. Each bar represents a category, making it easy to compare the magnitude of different groups. Vertical column charts and horizontal column charts are two types of bar charts.

Heat Map is a data visualisation tool that uses colour gradients to represent the magnitude of values within a matrix. Each cell is coloured according to its value. Heat maps are useful for displaying large data sets and identifying patterns, correlations and anomalies. They are widely used in fields like finance, biology and web analytics to visualise data such as stock performance, gene expression levels or user behaviour on websites. Heat maps provide an intuitive and immediate way to interpret the density and intensity of data.

A Timeline is a graphical representation that displays a sequence of events in chronological order along a linear scale. It can be horizontal or vertical and often includes dates, labels and brief descriptions to show the progression of events, milestones or activities over time. Timelines are commonly used in history, project management, education and research to provide a clear, organised view of temporal relationships and to highlight the timing and duration of key events.

A Choropleth Map is a thematic map that uses colour shading to represent data values across geographical areas, such as countries, states or regions. Each area is shaded in proportion to the variable being measured, such as population density, income levels or election results, with darker colours typically indicating higher values and lighter colours lower values. They are effective in visualising spatial distribution and regional patterns, and are commonly used in geography, public health, economics and political science to present data such as the spread of Covid-19.

A bar chart would be more suitable than a pie chart when values of different categories need to be compared clearly. For example, to compare the number of students participating in different sports such as cricket, football, tennis and basketball, a bar chart is better because the height or length of bars makes comparison easier.

Data visualisation converts data into visual forms such as charts, graphs and maps, making information easier to understand. It helps diverse audiences, including non-technical users, identify trends, patterns, comparisons and outliers quickly. This makes communication clearer and supports better decision-making.

Data visualisation techniques help in exploratory data analysis by presenting data in a visual form so that patterns, trends and correlations can be identified easily. Scatter plots help to show relationships between variables, histograms help to understand the distribution of data, and heat maps help to identify patterns and anomalies. By visually inspecting the data, analysts can select suitable techniques for further analysis.