{"id":2580,"date":"2024-09-26T08:07:41","date_gmt":"2024-09-25T23:07:41","guid":{"rendered":"https:\/\/secondlife.lol\/?p=2580"},"modified":"2024-09-27T20:56:56","modified_gmt":"2024-09-27T11:56:56","slug":"airbnb-pricing-analysis-new-york","status":"publish","type":"post","link":"https:\/\/secondlife.lol\/en\/airbnb-pricing-analysis-new-york\/","title":{"rendered":"Python data analysis example: Analyzing Airbnb listing prices and identifying popular neighborhoods"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Accommodation sharing platforms like Airbnb generate a lot of data on a global scale. Using this data to analyze listing prices by region and identify popular areas can be a very useful Python data analysis example. In this post <strong>Explains how to use New York Airbnb listing data to analyze listing prices and number of reviews<\/strong>by neighborhood. Learn how to effectively derive price points and popular neighborhoods for listings by region with this Python data analysis example.<\/p>\n\n\n<style>.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-content-wrap{padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-right:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);padding-left:var(--global-kb-spacing-sm, 1.5rem);border-top:3px solid var(--global-palette2, #2B6CB0);border-right:3px solid var(--global-palette2, #2B6CB0);border-bottom:3px solid var(--global-palette2, #2B6CB0);border-left:3px solid var(--global-palette2, #2B6CB0);border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;box-shadow:0px 0px 14px 0px rgba(0, 0, 0, 0.2);}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-contents-title-wrap{padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-contents-title-wrap{color:var(--global-palette2, #2B6CB0);}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-contents-title{color:var(--global-palette2, #2B6CB0);font-size:28px;font-weight:regular;font-style:normal;}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-content-wrap .kb-table-of-content-list{color:var(--global-palette1, #3182CE);line-height:2em;font-weight:regular;font-style:normal;margin-top:var(--global-kb-spacing-sm, 1.5rem);margin-right:0px;margin-bottom:0px;margin-left:0px;}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-content-wrap .kb-table-of-content-list .kb-table-of-contents__entry:hover{color:var(--global-palette6, #718096);}@media all and (max-width: 1024px){.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-content-wrap{border-top:3px solid var(--global-palette2, #2B6CB0);border-right:3px solid var(--global-palette2, #2B6CB0);border-bottom:3px solid var(--global-palette2, #2B6CB0);border-left:3px solid var(--global-palette2, #2B6CB0);}}@media all and (max-width: 1024px){.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-contents-title{font-size:28px;}}@media all and (max-width: 767px){.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-content-wrap{border-top:3px solid var(--global-palette2, #2B6CB0);border-right:3px solid var(--global-palette2, #2B6CB0);border-bottom:3px solid var(--global-palette2, #2B6CB0);border-left:3px solid var(--global-palette2, #2B6CB0);}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-contents-title{font-size:28px;}}<\/style>\n\n\n<h2 class=\"wp-block-heading\">The importance of analyzing Airbnb listing prices<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Listing prices are the most important information for travelers and hosts alike. By analyzing listing prices, travelers can better plan their budgets, and hosts can maximize their profitability. In this Python data analysis example, you'll learn how to analyze Airbnb data for New York to derive listing prices and review counts by region.<\/p>\n\n\n<style>.kb-image2580_2679a2-52 .kb-image-has-overlay:after{opacity:0.3;border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;}.kb-image2580_2679a2-52 img.kb-img, .kb-image2580_2679a2-52 .kb-img img{border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;box-shadow:0px 0px 14px 0px rgba(0, 0, 0, 0.2);}<\/style>\n<div class=\"wp-block-kadence-image kb-image2580_2679a2-52\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"600\" height=\"343\" src=\"https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-20-600x343.jpg\" alt=\"\ud30c\uc774\uc36c \ub370\uc774\ud130\ubd84\uc11d \uc608\uc81c - \ub300\ud45c \uadf8\ub9bc\" class=\"kb-img wp-image-2583\" srcset=\"https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-20-600x343.jpg 600w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-20-300x171.jpg 300w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-20.jpg 768w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Loading and exploring data<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">First, <strong>Inside Airbnb<\/strong>This Python data analysis example imports and explores data from Airbnb listings in New York City provided by Airbnb Inc. The data contains information about the price, location, number of reviews, and more.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Loading data from Python<\/h3>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\n\n# Load Airbnb listing data\nurl = 'https:\/\/raw.githubusercontent.com\/erkansirin78\/datasets\/refs\/heads\/master\/AB_NYC_2019.csv'\nairbnb_data = pd.read_csv(url)\n\nExplore the # data\nprint(airbnb_data.head())\nprint(airbnb_data.describe())<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">This code is the first step in our Python data analysis example, and shows you how to load and explore Airbnb data for New York. The data includes price, number of reviews, and location information for each listing.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data preprocessing<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Before analyzing your data, it's important to identify and handle data with missing values or errors. <strong>Python data analysis examples<\/strong>for preprocessing to handle missing values.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>Check for # missing values\nprint(airbnb_data.isnull().sum())\n\nFill in the # review-related missingness with zeroes\nairbnb_data['reviews_per_month'].fillna(0, inplace=True)\nairbnb_data['last_review'].fillna('No Review', inplace=True)\n\n# Check after handling missing values\nprint(airbnb_data.isnull().sum())<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">This code describes how to handle review-related missingness. It's important to handle missingness appropriately. <strong>Python data analysis examples<\/strong>for reliable analytics results.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Analyze listing prices by region<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Now you want to analyze the price of listings in each neighborhood in New York. Calculate the average listing price by region and visualize it with this Python data analysis example.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Calculate and visualize average prices by region<\/h3>\n\n\n\n<pre class=\"wp-block-code\"><code>import seaborn as sns\nimport matplotlib.pyplot as plt\n\nCalculate the average listing price by # neighborhood\navg_price_by_neighborhood = airbnb_data.groupby('neighbourhood_group')['price'].mean().sort_values(ascending=False)\n\nVisualize #\nplt.figure(figsize=(10, 6))\navg_price_by_neighbourhood.plot(kind='bar', color='orange')\nplt.title('Average listing price by neighborhood in New York')\nplt.xlabel('Neighborhood')\nplt.ylabel('Average price (USD)')\nplt.show()<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">In this Python data analysis example, we calculate the average listing price for each neighborhood in New York City and visualize it in a bar graph. The analysis shows that Manhattan is the most expensive neighborhood.<\/p>\n\n\n<style>.kb-image2580_6ed8ec-09 .kb-image-has-overlay:after{opacity:0.3;border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;}.kb-image2580_6ed8ec-09 img.kb-img, .kb-image2580_6ed8ec-09 .kb-img img{border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;box-shadow:0px 0px 14px 0px rgba(0, 0, 0, 0.2);}<\/style>\n<div class=\"wp-block-kadence-image kb-image2580_6ed8ec-09\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"600\" height=\"440\" src=\"https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-21-600x440.jpg\" alt=\"\ud30c\uc774\uc36c \ub370\uc774\ud130\ubd84\uc11d \uc608\uc81c - \ud3c9\uade0\uc219\uc18c \uac00\uaca9 \uadf8\ub9bc\" class=\"kb-img wp-image-2588\" srcset=\"https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-21-600x440.jpg 600w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-21-300x220.jpg 300w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-21-768x564.jpg 768w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-21.jpg 850w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Analyzing popular regions: Based on number of reviews<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The number of reviews is an indirect indicator of a listing's popularity. In this Python data analysis example, we'll analyze the average number of reviews per region to identify popular regions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Calculate and visualize the average number of reviews by region<\/h2>\n\n\n\n<pre class=\"wp-block-code\"><code># Calculate the average number of reviews by neighborhood\navg_reviews_by_neighborhood = airbnb_data.groupby('neighborhood_group')['number_of_reviews'].mean().sort_values(ascending=False)\n\nVisualize #\nplt.figure(figsize=(10, 6))\navg_reviews_by_neighbourhood.plot(kind='bar', color='blue')\nplt.title('Average number of reviews by neighborhood in New York')\nplt.xlabel('Neighborhood')\nplt.ylabel('Average number of reviews')\nplt.show()<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">In this Python data analysis example, we analyze the average number of reviews for each region and visually see which regions have received more reviews. You can see that Staten Island and Queens are popular regions with a high number of reviews.<\/p>\n\n\n<style>.kb-image2580_3ba95d-b8 .kb-image-has-overlay:after{opacity:0.3;border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;}.kb-image2580_3ba95d-b8 img.kb-img, .kb-image2580_3ba95d-b8 .kb-img img{border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;box-shadow:0px 0px 14px 0px rgba(0, 0, 0, 0.2);}<\/style>\n<div class=\"wp-block-kadence-image kb-image2580_3ba95d-b8\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"600\" height=\"445\" src=\"https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-22-600x445.jpg\" alt=\"\ud30c\uc774\uc36c \ub370\uc774\ud130\ubd84\uc11d \uc608\uc81c - \ub9ac\ubdf0\uc218 \uadf8\ub9bc\" class=\"kb-img wp-image-2593\" srcset=\"https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-22-600x445.jpg 600w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-22-300x223.jpg 300w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-22-768x570.jpg 768w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-22.jpg 841w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Analyze the relationship between listing price and number of reviews<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In this Python data analysis example, we analyze the correlation between the price of a listing and the number of reviews. We want to see if higher-priced listings get more reviews, or if there is a pattern between price and number of reviews.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Correlating price and number of reviews<\/h3>\n\n\n\n<pre class=\"wp-block-code\"><code># Calculate the correlation between price and number of reviews\ncorrelation = airbnb_data[['price', 'number_of_reviews']].corr()\nprint(correlation)\n\nVisualize as a # scatterplot\nplt.figure(figsize=(10, 6))\nsns.scatterplot(data=airbnb_data, x='price', y='number_of_reviews')\nplt.title('Relationship between listing price and number of reviews')\nplt.xlabel('Price (USD)')\nplt.ylabel('Number of reviews')\nplt.show()<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Correlation analysis visually analyzes the relationship between price and number of reviews. This Python data analysis example shows that a higher price does not necessarily mean a higher number of reviews, and that lower-priced listings are more likely to receive more reviews.<\/p>\n\n\n<style>.kb-image2580_4b2e8c-42 .kb-image-has-overlay:after{opacity:0.3;border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;}.kb-image2580_4b2e8c-42 img.kb-img, .kb-image2580_4b2e8c-42 .kb-img img{border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;box-shadow:0px 0px 14px 0px rgba(0, 0, 0, 0.2);}<\/style>\n<div class=\"wp-block-kadence-image kb-image2580_4b2e8c-42\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"600\" height=\"386\" src=\"https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-23-600x386.jpg\" alt=\"\ud30c\uc774\uc36c \ub370\uc774\ud130\ubd84\uc11d \uc608\uc81c - \ub9ac\ubdf0\uc218\uc640 \uac00\uaca9 \uad00\uacc4\" class=\"kb-img wp-image-2596\" srcset=\"https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-23-600x386.jpg 600w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-23-300x193.jpg 300w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-23-768x494.jpg 768w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/image-23.jpg 850w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Common mistakes in data analysis and how to fix them<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In this article, we'll cover common mistakes in Python data analysis and how to fix them.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Lack of missing value handling<\/strong>: If your data contains missing values, it can skew the results of your analysis. Make sure to handle missing values appropriately.<\/li>\n\n\n\n<li><strong>Errors in interpreting average price<\/strong>: The average price alone doesn't accurately describe the price range by region, so you need to consider the price distribution as well.<\/li>\n\n\n\n<li><strong>Limitations of review count interpretation<\/strong>: A high number of reviews doesn't always indicate a popular listing, so you should consider a variety of analytics factors.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">FAQs<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q1: Where can I get Airbnb data?<\/strong><br>A: <a href=\"http:\/\/insideairbnb.com\/\" target=\"_blank\" rel=\"noopener\">Inside Airbnb<\/a>You can download Airbnb data by city from Airbnb.com, or you can find it on places like Github via a Google search. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q2: How can I learn more about Python data analytics?<\/strong><br>A: We recommend looking for hands-on Python tutorials on various data analytics platforms, or analyzing real-world data like Airbnb data. For an example using S&amp;P 500 data, see <a href=\"https:\/\/secondlife.lol\/en\/stock-data-time-series-analysis-trend-forecasting\/\" data-type=\"post\" data-id=\"2545\">Here<\/a>for more information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q3: Can I create a price prediction model for my listing?<\/strong><br>A: Yes, you can. Based on this data, you can use a variety of machine learning techniques, including linear regression, random forests, and more, to create a predictive model for listing prices.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Organize<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In this post, you learned how to analyze New York Airbnb listing data in Python and identify popular neighborhoods based on listing price and number of reviews per neighborhood. This will help you understand the price points and popularity of your listings, and lay the groundwork for creating a price prediction model.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Now you can get hands-on with the Python data analysis examples and start drawing your own insights!<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"># Glossary<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Airbnb<\/strong>A stay-sharing platform that connects travelers and hosts around the world.<\/li>\n\n\n\n<li><strong>Missing values<\/strong>: A value that is missing from the data and should be handled appropriately for analysis.<\/li>\n\n\n\n<li><strong>Correlation<\/strong>: An indicator of the relationship between two variables, where a higher correlation number means a stronger relationship between the two variables.<\/li>\n\n\n\n<li><strong>Number of reviews<\/strong>The number of reviews left on each listing, one of the metrics that reflects the popularity of a listing.<\/li>\n\n\n\n<li><strong>Mean squared error (MSE)<\/strong>The squared and averaged difference between the model's predicted and actual values, used to evaluate the model's performance.<\/li>\n\n\n\n<li><strong>Data preprocessing<\/strong>: The process of properly preparing data for data analysis, including handling missing values, data transformation, etc.<\/li>\n\n\n\n<li><strong>Visualization<\/strong>: A way to represent data in a graph or chart to make it easier to see patterns or trends.<\/li>\n\n\n\n<li><strong>Regional Groups<\/strong>: A variable available in Airbnb data that refers to a categorized neighborhood within the city the listing is in.<\/li>\n\n\n\n<li><strong>Property type<\/strong>: A type of listing offered by Airbnb, which can be an entire home, a private room, and more.<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>Accommodation sharing platforms like Airbnb generate a lot of data 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