Which Graph is Best Suited for Large Data Sets?

The Scatter Plot and box plot are arguably among the tested and proven charts you can use to visualize large data.

Why?

The charts are best suited for displaying complex and bulky data using minimal space. Besides, the two charts are amazingly easy to read and interpret, even for non-technical audiences.

Google Sheets has pretty basic Charts. Besides, the application does not natively support this type of chart.

We’re not recommending you do away with the data visualization application.

Download and install a particular add-on (which we’ll talk about later) for access to a ready-made histogramam in Google Sheets. Yes, you read that right.

Table of Contents:

1. What is Graphical Representation of Data?
2. Why is Graphical Representation of Data Important?
3. Which Graph is Best Suited for Large Data Sets?
4. How to Make Graphs for Large Data Sets?
5. Video Tutorial
6. Advantages Graphical Representation of Data
7. Wrap Up

What is Graphical Representation of Data?

Graphical representation refers to charts and graphs you can use to visually display, analyze, clarify, and interpret data.

Data is fed into a visualization tool and then represented by a variety of symbols, such as lines on a Line Chart, bars on a Bar Chart, or slices on a Pie Chart.  And this makes data easy to decode for actionable insights.

Charts and graphs, including Mekko charts, can help you illustrate relationships, anomalies, and trends. Besides, they contribute to reliable predictions and data-driven decisions

You can use a wide variety of maps, diagrams, and graphs such as dot plot graphs to display insights into your data. Choosing the most appropriate chart for your needs depends on a variety of different factors:

• Nature of the data
• Purpose of the chart

Keep reading because we’ll address the following question in the coming section: Why is the graphical representation of data important?

Why is Graphical Representation of Data Important?

Graphical representation of data is a crucial component in understanding and identifying patterns and trends in the ever-increasing flow of data.

You can use graphs and charts to visualize bulky data for actionable insights, which empowers reliable decision-making. Besides, they significantly promote collaboration using familiar visual metaphors like the slop chart to illustrate relationships and patterns, eliminating complex, long-winded numbers.

Data is valuable to you only if you’ve got the proper tools to harness actionable insights for decision-making. Our brains are very efficient at detecting relationships and changes between sizes, shapes, colors, and quantities.

To extract insight from tables and spreadsheets with many rows and columns is time-intensive and inefficient.

Also, you can use charts and graphs as backdrops for your data stories.

Keep reading because we’ll address the following question in the coming section: which graph is best suited for large sets?

Which Graph is Best Suited for Large Data Sets?

To visualize bulky and complex data sets, you need charts that can display a ton of information using limited space. Also, the chart should be clutter-free.

The tested and proven charts for the task aforementioned above are:

Chart Type	Ideal use
Box Plot	The chart shows how data is distributed based on a five-number statistical summary. This chart indicates that most of the data fall within a consistent range. Conversely, a larger indicates the data is more widely distributed.
Scatter Plot	The chart displays patterns and relationships of key variables in bulky data sets.

How to Make Graphs for Large Data Sets?

Google Sheets is one of the go-to data visualization tools for many readers.

However, the data visualization tool does not natively support different charts.

Well, you don’t have to do away with the spreadsheet app.

You can turn Google Sheets into a reliable best data visualization tool loaded with advanced charts like Area Chart by installing third-party apps, such as ChartExpo.

Which graph is best suited for large data sets? Keep reading to discover the best tool to visualize large data sets.

What is ChartExpo?

ChartExpo is an add-on you can easily install in your Google Sheets.

With 50-plus ready-made visually stunning and creative data visualizations, ChartExpo turns your complex, raw data into compelling, easy-to-digest, visual renderings that tell the story of your data.

The cutting-edge application produces simple, ready-made, and visually stunning charts with just a few clicks.

Yes, ChartExpo generates ready-made Charts like Chord diagrams in Google Sheets that are amazingly easy to interpret.

In the coming section, you’ll get to see ChartExpo in action. You don’t want to miss this.

Example

This section will use the ChartExpo add-on to visualize the tabular data below.

Departments	Age
Development	34
Development	33
Development	32
Development	30
Development	29
Development	21
Development	38
Development	29
Development	37
Development	34
Finance	37
Finance	53
Finance	22
Finance	47
Finance	39
QA	46
QA	35
QA	51
QA	44
QA	41
QA	53
QA	41
Graphics	32
Graphics	35
Graphics	42
Graphics	28
Graphics	58
Graphics	31
Graphics	37
Graphics	38
Training	29
Training	43
Training	48
Training	48
Training	55
Training	38
Training	37
Training	26
Training	31
HR	30
HR	23
HR	29
HR	29
HR	51
HR	50
HR	27
HR	37
HR	30

Install the ChartExpo add-on for Google Sheets and then follow the simple and easy steps below.

• Open your Google Sheets application and paste the table above.
• Open the worksheet and click the Extensions Then click Charts, Graphs & Visualizations by ChartExpo then the Open button.

• Click the Add New Chart button, as shown below.

• Click the Search Box and type “You Chart Name”, as shown.

So which graph is best suited for large data sets?

• Select the sheet holding your data and select the Metrics option. Fill in the numerical numbers.
• Select the Dimensions button and fill in the dimensional data.
• Finish the simple process by clicking the Create Chart button.

• If you follow the instructions (above), your Chart should look like this (below).

Insights

• A majority of the employees in every department are aged between 28 and 39 years.
• There’s an outlier in the graphics department. In other words, there’s an employee who is over 50 years old.
• The finance department has the most significant disparity between the youngest and oldest employees.

Video Tutorial:

Advantages Graphical Representation of Data

• Graphical representations of data, such as histograms, can help you visualize large datasets.
• You can easily detect the symmetry and other hidden attributes of the data at a glance.
• Charts make it easy for our brains to understand data in-depth.
• You can easily make quick, data-driven decisions in your business using charts and graphs as your backdrop.

FAQs:

What is the purpose of a graphical representation of data?

Graphical representation refers to charts and graphs to visually display, analyze, clarify, and interpret data.

The role of charts and graphs is to help your audience understand your data story better because they appeal to emotions and inspire imagination.

What are the three benefits of the graphical representation of data?

• Visualization designs, such as Scatter Plots, can help you to visualize large data sets.
• You can easily detect the symmetry and other hidden attributes of the data.
• Charts make it easy for our brains to understand data in-depth. Also, you can use them to make data-driven decisions in your business.

Wrap Up

Which graph is best suited for large data sets?

The histogram and Box Plots are arguably among the tested and proven charts you can use to visualize large data.

The charts are best suited to displaying complex and bulky data using minimal space. Besides, the two charts are amazingly easy to read and interpret, even for non-technical audiences.

Google Sheets lacks charts best suited for large data sets, such as Scatter Plots and histograms.

So, what’s the solution?

Install third-party apps, such as ChartExpo, into your Google Sheets to access ready-made graphs best suited for bulky and complex data.

ChartExpo is an add-on you can easily download and install in your Google Sheets app. Besides, the application comes loaded with insightful and ready-made charts best suited for large data. You don’t need programming or coding skills to visualize your data using ChartExpo.

Sign up for a 7-day free trial today to access easy-to-interpret and ready-made charts for handling large data sets, such as Histogram.