How to Use Airbnb Data Visualization Designs?

Airbnb is the “Uber” of housing in today’s world.

The disruptive technology in the housing sector is increasingly acting as a bridge between tourists and best bargains (cost savings). Besides, it’s one of the profitable businesses to have because you don’t have to own real estate.

You just have to rent houses and furnish them with top-notch amenities before subletting them.

To succeed in the Airbnb business, you have to leverage data maximally. Yes, you have to use data to your advantage. For instance, you can leverage the data on past bookings to determine the behavior of your target market.

This is where Airbnb data visualization designs, such as the Double Bar Graph, come in.

Insights from charts (such as the Double Bar Charts) can help you optimize your business for more profits. Besides, you can get in-depth insights into the specific needs of your target market, which you can use to personalize your services.

Google Sheets is one of the visualization tools small and medium-sized businesses (SMBs), use to make sense of their data. However, it produces pretty basic charts, which can easily mislead you.

In this blog, we’ll walk you through the best tools that can set you for success in your Airbnb data analysis project. You’ll also learn how to make sense of the data generated by your accommodation business.

Table of Content:

1. How to Get Started with Airbnb Data Visualization Types?
2. Airbnb Data Visualization Examples
3. How to do Data Analysis Using Airbnb Data Visualization Charts?
4. Wrap up

How to Get Started with Airbnb Data Visualization Types?

To succeed in your Airbnb data analytics project, you need the best tool.

You don’t want a tool that will consume significant amounts of your valuable time. To get the most from your data, leverage visualization tools that produce visually appealing and easy-to-interpret diagrams.

Let’s talk about Google Sheets because it’s one of the most-used data visualization tools by Airbnb business owners.

Google Sheets is a cloud-hosted spreadsheet app with similar functions as Excel. Besides, it’s free of charge to use it. You just need to open an email account (Gmail) to get started.

However, it comes with a set of weaknesses that can do more harm than good to your Airbnb business.

Google Sheets has very basic charts, which require a lot of time to edit. In other words, you won’t find ready-made charts that are insightful and visually stunning.

You need an Airbnb data visualization generator loaded with advanced and easy-to-interpret charts.

You don’t want to skip the coming section if you intend to get actionable results from your Airbnb data analytics.

So what’s the solution?

You don’t have to dump the Google Sheets app. We have a very viable alternative for you. Yes, you read that right.

Head to the Google Workspace Marketplace and download the google sheets add-on. There’re thousands of add-ons you can use. ChartExpo is recommended by thousands of people who tested hundreds of data visualization add-ons.

Why?

ChartExpo has an ultra-friendly user interface (UI) to ensure you never struggle with your Airbnb data analysis project. You don’t have to watch hours of YouTube tutorials or tens of pages of PDFs to get acquainted with ChartExpo.

The cost of accessing a tool containing a large number of chart templates is $10 a month. And this is not to mention a 7-day FREE trial you get once you sign up.

Make ChartExpo your primary Airbnb data visualization generator to enjoy unlimited access to growth-based and money-gaining insights.

You don’t have to struggle in your next Airbnb data analysis project. Just use ChartExpo.

Airbnb Data Visualization Examples

Example #1

Imagine you own an Airbnb business. Your homes are scattered in different neighborhoods. Each house has a different price. Assume you want to establish a relationship between your prices and customer growth.

Let’s assume the table below is what you’ve collected for your Airbnb data analytics project.

We’ll use the Double Bar Graph (one of the many Airbnb data visualization designs)

Neighborhood	Price per night	Customer Growth
Randall Park City	299	18
Battery Park City	248	8
Breezy Point	213	2
Riverdale	210	27
Sea Gate	186	1
Tribeca	184	12
Flatiron District	159	18
Jamaica Estates	140	31
Novo	138	13
City Island	138	42

• Start by pasting the table above in Google Sheets.
• To access ChartExpo (Airbnb data visualization tool), head to the Extensions button -> Charts, Graphs & Visualizations by ChartExpo button -> Open.

• Click the Create New Chart button to access your fully stocked library of charts.

• Export your data in Google Sheets.
• After clicking on Create New Chart, you will see a list of charts.
• Find Double Bar Graph in the list and click on it.

• Select the sheet holding your data and select the Metrics option. Fill in the numerical numbers (in our scenario, we’ll fill in price per night and customer growth).
• Select the Dimensions button and fill in the dimensional data (in our example, we’ll use neighborhood).

You can change the chart properties to add header and properties and have a final look as shown below.

Insights

• The demand for Airbnb accommodation is off the charts in City Island (at $138 per night).
• Sea Gate has the lowest customer growth despite its price ($186) being lower than that of Riverdale.
• Randall Park City, which has the highest rent price, has a modest customer growth rate (18%).
• Battery Park City’s rent prices need to be lowered to stimulate demand. The neighborhood’s customer growth stands at 18%.

Your Airbnb data analysis project does not have to be a nerve-wracking affair. Use ChartExpo to make the whole process seamless and easy.

Example #2

Imagine the data (below) is what you’ve collected for your Airbnb data analysis project.

We’ll use the Grouped Column Chart (one of the Airbnb data visualization designs).

Areas	Apartment	Condominium	House	Loft	Townhouse
Bronx	66	5	22	2.5	4.5
Brooklyn	78	2	6	7	7
Manhattan	85	6.5	1.5	4	3
Queens	56	5	28	8	3
Staten Island	28	3	55	3	11

To get started with the Airbnb data visualization tool, follow the steps below.

• Click the Extensions button -> Charts, Graphs & Visualizations by ChartExpo button -> Open.
• Follow the same steps we used in Example #1.
• Type “Grouped Column Chart” in the Search box.

• Select the sheet holding your data and select the Metrics option. The metric to fill in our scenario is apartment, condominiums, house, loft, and the townhouse)
• Select the Dimensions button and fill in the dimensional data (in our scenario (above), we’ll fill in areas)

• Finish the simple process by clicking the Create Chart button.
• Your Grouped Column Chart is ready (below).

Insights

• Apartment-style Airbnb listings outnumber other housing types in all 4 neighborhoods except Staten Island.
• Staten Island has more house-style Airbnb listings than an Apartment listings in Manhattan accounts for 90% of all rental properties in the area.
• House-styled Airbnb accounts for 25% of all rental properties in Queens.

Visualizing your data with Airbnb data visualization charts should be a stress-free task. Intuitive visualizations like multicolored bar graphs help you understand data better and make quick decisions.

How to do Data Analysis Using Airbnb Data Visualization Charts?

Follow the best practices below to increase your chances of succeeding in your Airbnb data analysis project.

• Identify your story

The first step to telling a good data story is to uncover a story worth telling. Start by asking a question or forming a hypothesis. Dig into relevant data to find answers.

Use the questions (below) for guidance.

1. What are you trying to explain?
2. What are your goals?
3. Are you trying to get buy-in on a proposal?

• Look for correlations

What connections do you see in key variables in your data?

Are there interesting or surprising correlations?

Remember, these relationships can provide a compelling foundation for a data story.

• Identify trends

Trends are incredibly important in Airbnb data visualization because they indicate the general patterns of key metrics. For example, you can check for the existence of up or downtrend in customer growth in your Airbnb business.

Identifying new or evolving trends in your Airbnb project is crucial for understanding how you should react to opportunities and risks.

• Draw comparisons

You can easily compare the performance of key metrics, such as profitability versus costs in your Airbnb business. For instance, in example #2, we compared different Airbnb listings in various neighborhoods.

• Look for outliers

Outliers are any data that act unusually or outside the norm.

Making business decisions using outliers can result in losses. In other words, outliers are misleading. Look for outliers and ask the following questions.

1. Why is the data behaving that way?
2. What is the cause?

• Mind your audience

Always mind your audience, especially when developing and sharing your data stories. If the story you want to tell isn’t relevant or interesting to your intended audience, it won’t have an impact.

As you prepare for the Airbnb data analysis project, ask yourself:

• • Who is my audience?
  • Is this story relevant to my audience? Does it solve a problem they care about or provide needed insight?
  • Have they heard this story before?
  • Your audience’s age, demographics, job, and subject matter expertise will affect how they understand and respond to your stories (and should inform how you tell your stories).
  • Customize your story and approach it from different angles depending on the audiences you plan to share it with.

FAQs:

What companies use data visualization?

Companies, such as Airbnb have democratized their data. In other words, they allow their stakeholders to interact with data generated by its application.

As an Airbnb business owner, you should leverage this data to personalize your services based on the actual needs of the market.

What is the best software for data visualization?

Freemium data visualization tools, such as Google Sheets lack ready-made Airbnb data visualization Graphs. To get around this problem, we recommend you to download and install the ChartExpo add-on into your Google Sheets.

Using ChartExpo does not require you to have coding or programming skills. Besides, it comes loaded with many advanced charts.

Wrap Up

Visualizing data generated by your Airbnb accommodation business should never be a nerve-wracking or time-consuming affair.

Yes, you read that right.

It turns out there’re Airbnb data visualization designs, such as the Double Bar Graph and Grouped Column Charts, which are proven and tested for the task. Why?

Essentially, using these charts (Double Bar Graph and Grouped Column Charts) can increase your chances of success in the Airbnb business.

More so, these charts are incredibly easy-to-interpret, even for non-technical audiences.

For instance, to interpret a Double Bar Graph, check for the sizes of the bars on both sides and compare them.

To gain access to low-hanging insights into the performance of your Airbnb business, avoid native Google Sheets charts. Yes, if your goal is to access easy-to-interpret and ready-made charts, you’ve got to think beyond the spreadsheet app.

Why?

Charts in Google Sheets are very basic and require a lot of effort and time to edit. But, we’re not recommending you to do away with the freemium spreadsheet application.

We recommend you to install third-party applications (add-ons), such as ChartExpo into your Google Sheets to access advanced Airbnb data visualization charts.

ChartExpo is an add-on you can easily download and install in your Google Sheets. Besides, it has 50-plus advanced charts to save you time, especially during your Airbnb data analysis project.

You don’t need programming or coding skills to visualize your data using this tool. Furthermore, you can easily export your charts in the world’s most recognized formats, namely JPEG and PNG.

Sign up for a 7-day free trial today to access easy-to-interpret and visually appealing Airbnb data visualization designs.