Statistics is the study of data and findings in an analytical format. It interprets, draws and summarises conclusions from the given data. Moreover, it also uses statistical tools and presents in the form of graphs and charts. Not every student knows how to use them in a proper way. So, they can seek statistics assignment help online from experts.
There are numerous forms of statistical graphs and charts of which you may be unaware. So, in this article, you will learn about the types of visual data that you can use in your work. Let’s look at why data representation is vital.
Significance of Graphical Representation in Statistics
Data representation is vital in today’s data-driven world to analyse large amounts of data. They help us understand vast amounts of data and interpret it wisely. Assists decision-making: It enables you to make informed courses of action or decisions. As you can easily identify the data trends and patterns, it leads to better choices.
- Engages audience: It captures the attention of the audience more effectively than raw data. It is valuable when you are presenting extensive reports or findings.
- Universal: As the visual presentation does not require writing, it can convey the message to a global audience as well. So, it passes the language barrier.
Bar Graph
Bar charts, which are also called horizontal column charts, are popular among students. It is visually attractive. You can quickly determine which bar is the highest or lowest. They are used in the areas of statistics :
- Economics
- Marketing
In this, data is represented through axes perpendicular to each other.
- Uses :
- Highlight changes over time
- To analyse data from many categories
- To present data in nominal or ordinal forms
Venn Diagram
It is one of the type of data representation type. In this, circles overlap. Moreover, it assists you in finding things that have standard features. The components which do not overlap do not have anything similar.
- Uses :
- To compare various things
- To categorise items
- Present logical connection between two sets
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Pyramid Graphs
A pyramid chart is a visual representation tool to present hierarchal relationships. It is a chart shaped in triangular form.
- Uses :
- Progressive order of data
- Present the level of hierarchy in a company
- Portrays different levels of need of humans
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Spline Chart
It is a popular choice in statistics. It uses smooth and curved lines to connect data instead of straight lines. Moreover, it emphasises trends in the data over a period of time. Also, it is visually appealing rather than the standard line chart.
- Uses :
- Data without precise values
- When you visualise gradual trends
- Well suited for data that changes smoothly
Pictographs
A pictograph is one of the famous types of graphs and charts. It presents the data in various pictures or icons and simplifies data representation. Moreover, it is usually used by children as it is visually appealing rather than numbers.
- Uses :
- To compare 2 points
- Promote learning in kids
- To create visually attractive content
Histogram
A histogram is very much like a bar chart. They represent continuous data or the frequency of data in a set.
- Uses :
- In the continuous flow of data
- To share data distribution with others.
- Graphic representation of a large sum of data
Line Graph
A line graph, also called a line chart or curve chart, represents data points that are connected by a straight line.
It is used to show trends in data over a period of time.
- Uses :
- To show trends
- Prediction of things based on the data
- Evaluate multiple variables over time.
Pie Chart
It presents the data in a slice format. Also, it represents data in percentages where the sum of all has to be 100 per cent. In simple words, it divides a category into many categories.
- Uses :
- Show the proportion of data
- Used in marketing strategies
- To present nominal and ordinal data
Scatter Plot
A scatter plot/chart assists you to show the connection between things based on two different variables and data sets. It presents data at various x-axis and y-axis.
Also, it shows the relationship between independent and dependent variables so you can measure how they impact each other. Moreover, it forecasts the behaviour of the dependent variable and calculates the independent variable.
- Uses
- Evaluate the depth of a problem
- Shows the connection between two variables
- Forecast the performance of the dependent variable
Area Graph
An area chart shows the change in the quantities of elements over time. It is similar to a line chart. However, in this, the space between the axis and the line is covered, and in a line chart, there is no use of colour.
- Uses
- To contrast small categories of things.
- Make a comparison between two data sets
- Showcase continued progress of specific subject rather than values
Bubble Chart
A bubble chart/ bubble plot is similar to a scatter plot. It is valuable in comparing the relationship of data between three numerical, that is
- x-axis data
- y-axis data
- Data that show the size of the bubble
- Uses :
- Presents 3 aspects of data
- Compare and show the connection between grouped circles
Box Plot /Whisker Plot
Box plots or box and whisker charts use a quartile to present a set of numerical data in the form of frequency distribution.It showcases a range of numbers from maximum to minimum. It uses a five-number summary :
- Minimum
- First Quartile
- Median
- Second Quartile
- Maximum
- Uses :
- To take a look at the distribution of data
- For comparison of different types of data set
Radar Chart Or Spider Chart
A radar chart /spider chart/star plot is best for making comparisons of multiple things. It represents three or more variables. Moreover, it shows how each variable performs in relation to the other. Also, it highlights the similarities and differences.
- Uses :
- Evaluate the score of variables in a data set
- Analyse the variables that share the same values
- Presents the outcomes of multiple things in one place
Conclusion
To conclude, Data representation allows us to identify patterns, trends and gaps. Moreover, it promotes informed decision-making. Improves understanding. It simplifies complex data sets into a more accessible form. People can understand it better.
There are plenty of data presentation forms that were covered in the above sections. It includes pictograms, Venn diagrams, line charts, bar graphs and many more. The primary purpose of these methods is to simplify the vast amount of data. When it’s simplified, you can draw more better conclusions and findings.
If these graphic representations sound too much to you, but you want to incorporate them into your studies. You can seek statistics assignment help for expert guidance and on-time delivery.
