title
Full Beginner Project in Tableau | Tableau Tutorials for Beginners

description
This is our 5th of 5 tutorials on Tableau. In this series we will learn the UI of tableau as well as how to effectively create visualizations and dashboards. This project is meant for beginners to get their feet wet and go from there onto bigger and better projects. Excel File: https://www.kaggle.com/alexanderfreberg/airbnb-listings-2016-dataset *File was too large for GitHub so I put it in Kaggle as a workbook* To Get Up To Date Data: http://insideairbnb.com/get-the-data.html Final Tableau Dashboard: https://public.tableau.com/app/profile/alexander.freberg/viz/AirBnBFullProject/Dashboard1 ____________________________________________ SUBSCRIBE! Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content! ____________________________________________ RESOURCES: Coursera Courses: Google Data Analyst Certification: https://coursera.pxf.io/5bBd62 Data Analysis with Python - https://coursera.pxf.io/BXY3Wy IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR Tableau Data Visualization - https://coursera.pxf.io/MXYqaN Udemy Courses: Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX Statistics for Data Science - https://bit.ly/37jqDbq SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij Tableau A-Z - http://bit.ly/385lYvN *Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!* ____________________________________________ SUPPORT MY CHANNEL - PATREON/MERCH Patreon Page - https://www.patreon.com/AlexTheAnalyst Alex The Analyst Shop - https://teespring.com/stores/alex-the-analyst-shop ____________________________________________ Websites: GitHub: https://github.com/AlexTheAnalyst Instagram: @Alex_The_Analyst ____________________________________________ *All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

detail
{'title': 'Full Beginner Project in Tableau | Tableau Tutorials for Beginners', 'heatmap': [{'end': 1036.644, 'start': 1009.862, 'weight': 0.724}, {'end': 1197.601, 'start': 1164.72, 'weight': 1}], 'summary': 'This tableau tutorial covers beginner projects for data analysis, visualization, and excel data joining, focusing on airbnb market analysis, zip code price analysis, and visualizing pricing trends to equip viewers with skills and insights.', 'chapters': [{'end': 415.053, 'segs': [{'end': 70.217, 'src': 'embed', 'start': 22.243, 'weight': 0, 'content': [{'end': 26.925, 'text': "This is a beginner tutorial series, so I'm trying to make this super easy so I can follow along.", 'start': 22.243, 'duration': 4.682}, {'end': 29.367, 'text': 'Nothing super complicated, I promise.', 'start': 27.426, 'duration': 1.941}, {'end': 34.43, 'text': 'And if you were wanting to go above and beyond and just make a lot of different dashboards or try a lot of different things?', 'start': 29.607, 'duration': 4.823}, {'end': 36.051, 'text': "there's a ton of data in here.", 'start': 34.43, 'duration': 1.621}, {'end': 39.954, 'text': "And so I'll show you some of the things that I would do you know as we go through it,", 'start': 36.391, 'duration': 3.563}, {'end': 43.958, 'text': 'of the things that I would be looking at and some of the different visualizations that I might do as well.', 'start': 39.954, 'duration': 4.004}, {'end': 49.102, 'text': "But again, in this video, we're going to be sticking to a lot of the basics, but I'll switch over my screen in just a second.", 'start': 44.298, 'duration': 4.804}, {'end': 54.587, 'text': 'I will show you the final product and then we will actually walk through step by step of how to do the entire dashboard.', 'start': 49.182, 'duration': 5.405}, {'end': 59.251, 'text': 'At the end, you should have a completed project that you can add to your portfolio or, you know,', 'start': 54.627, 'duration': 4.624}, {'end': 61.092, 'text': 'just share on LinkedIn if you want to do that as well.', 'start': 59.251, 'duration': 1.841}, {'end': 63.875, 'text': "With that being said, let's jump over my screen and let's get started.", 'start': 61.433, 'duration': 2.442}, {'end': 67.296, 'text': "All right, so let's get me off screen and show you what we're going to be working on today.", 'start': 64.215, 'duration': 3.081}, {'end': 70.217, 'text': 'This is the final dashboard that we actually going to be building.', 'start': 67.356, 'duration': 2.861}], 'summary': 'Beginner tutorial series on creating a dashboard with a completed project at the end.', 'duration': 47.974, 'max_score': 22.243, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE22243.jpg'}, {'end': 273.557, 'src': 'embed', 'start': 222.665, 'weight': 3, 'content': [{'end': 225.466, 'text': 'This has all of our CSVs in one place.', 'start': 222.665, 'duration': 2.801}, {'end': 226.767, 'text': 'This is an Excel workbook.', 'start': 225.486, 'duration': 1.281}, {'end': 232.348, 'text': "So in this reviews, actually, let's start with the listings because that's kind of where it all stems from.", 'start': 227.387, 'duration': 4.961}, {'end': 239.251, 'text': 'We have our listing and the data in here is really extensive.', 'start': 233.089, 'duration': 6.162}, {'end': 240.351, 'text': "There's a lot of data in here.", 'start': 239.271, 'duration': 1.08}, {'end': 242.476, 'text': "Let's get over really quick.", 'start': 241.035, 'duration': 1.441}, {'end': 247.98, 'text': "Um, the listing refers to the actual home that they're renting out to the Airbnb.", 'start': 243.017, 'duration': 4.963}, {'end': 250.202, 'text': 'So it shows their location.', 'start': 248.461, 'duration': 1.741}, {'end': 254.465, 'text': "Um, and there's a lot more location information over here.", 'start': 250.222, 'duration': 4.243}, {'end': 256.226, 'text': "I'm getting into it in just a second.", 'start': 254.485, 'duration': 1.741}, {'end': 262.211, 'text': "So there's the neighborhood, the city state, um, zip code, all stuff that, you know, may be useful.", 'start': 256.527, 'duration': 5.684}, {'end': 264.413, 'text': "There's a latitude and longitude.", 'start': 262.772, 'duration': 1.641}, {'end': 268.496, 'text': "It shows what type of property it is, so that's really good.", 'start': 265.495, 'duration': 3.001}, {'end': 273.557, 'text': 'Right over here, it has how many bathrooms, bedrooms, and beds.', 'start': 269.556, 'duration': 4.001}], 'summary': 'Excel workbook contains extensive data on airbnb listings including location, property type, and bedroom/bathroom count.', 'duration': 50.892, 'max_score': 222.665, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE222665.jpg'}, {'end': 324.363, 'src': 'embed', 'start': 296.585, 'weight': 7, 'content': [{'end': 300.606, 'text': "So a bunch of financial data that's super useful.", 'start': 296.585, 'duration': 4.021}, {'end': 306.189, 'text': "We go into it a little bit, but there's so much you can do with that if you want to dig into that.", 'start': 300.706, 'duration': 5.483}, {'end': 306.809, 'text': "And that's kind of it.", 'start': 306.209, 'duration': 0.6}, {'end': 309.29, 'text': "The rest of it's pretty useless.", 'start': 307.229, 'duration': 2.061}, {'end': 310.511, 'text': "And there's a lot.", 'start': 309.77, 'duration': 0.741}, {'end': 311.731, 'text': "So there's so much data in here.", 'start': 310.631, 'duration': 1.1}, {'end': 317.113, 'text': 'Almost more than half by far is nothing you would put in any type of visualization.', 'start': 312.211, 'duration': 4.902}, {'end': 318.954, 'text': 'And this is pretty common.', 'start': 318.114, 'duration': 0.84}, {'end': 320.495, 'text': "You're not going to get..", 'start': 319.614, 'duration': 0.881}, {'end': 324.363, 'text': "data in every column where you're going to be able to use it.", 'start': 322.201, 'duration': 2.162}], 'summary': 'Financial data is valuable but mostly unusable for visualization, common in datasets.', 'duration': 27.778, 'max_score': 296.585, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE296585.jpg'}, {'end': 390.561, 'src': 'embed', 'start': 340.892, 'weight': 5, 'content': [{'end': 347.496, 'text': "and something that if you get a data analyst job, you need to understand your data, because it's very easy to come in here and say okay,", 'start': 340.892, 'duration': 6.604}, {'end': 350.358, 'text': "there's an ID field and here's an ID field.", 'start': 347.496, 'duration': 2.862}, {'end': 352.328, 'text': 'So that means that those are the same.', 'start': 351.107, 'duration': 1.221}, {'end': 361.058, 'text': 'Well, not in this case, um, this ID field is actually the review reviews ID, not the reviewer ID that refers to like the person.', 'start': 352.809, 'duration': 8.249}, {'end': 362.56, 'text': 'This is the reviews ID.', 'start': 361.559, 'duration': 1.001}, {'end': 367.886, 'text': 'This listing ID is the actual ID right there.', 'start': 363.201, 'duration': 4.685}, {'end': 370.329, 'text': 'So really important to note.', 'start': 368.968, 'duration': 1.361}, {'end': 376.57, 'text': 'Um, And then they just have their comment there, what they left as a review.', 'start': 371.751, 'duration': 4.819}, {'end': 382.274, 'text': "And then on the calendar, I don't know why I'm scrolling down, we have this listing ID again.", 'start': 376.61, 'duration': 5.664}, {'end': 386.718, 'text': 'So again, that listing ID is equal to the ID in this listing table.', 'start': 382.575, 'duration': 4.143}, {'end': 388.459, 'text': 'And we have a date and a price.', 'start': 387.298, 'duration': 1.161}, {'end': 390.561, 'text': 'So this refers to a specific location.', 'start': 388.759, 'duration': 1.802}], 'summary': 'Understanding data is crucial for data analysts; ids and their references must be carefully noted for accurate analysis.', 'duration': 49.669, 'max_score': 340.892, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE340892.jpg'}], 'start': 0.129, 'title': 'Data analysis and visualization', 'summary': 'Covers a beginner-friendly tableau tutorial project for creating a simple dashboard, an overview of the seattle airbnb open data set, and the importance of understanding financial data and data analysis, aiming to equip viewers with skills and emphasizing the need for thorough comprehension.', 'chapters': [{'end': 86.342, 'start': 0.129, 'title': 'Tableau tutorial project', 'summary': 'Provides a beginner-friendly tableau tutorial project, guiding through the creation of a simple dashboard using basic steps, aiming to equip viewers with the skills to independently create similar projects for their portfolio or professional use.', 'duration': 86.213, 'highlights': ['The chapter offers the final video in a Tableau tutorial series, focusing on a beginner-level project and emphasizing simplicity and ease of understanding.', 'The project aims to equip viewers with the skills to independently create a completed dashboard, suitable for portfolio inclusion or professional sharing.', 'The tutorial emphasizes simplicity and ease, ensuring that viewers can easily follow along and complete the project with minimal complexity.', 'The final dashboard to be built is described as simple and familiar, with a focus on guiding viewers through the process step by step to enable them to replicate the project easily.']}, {'end': 296.145, 'start': 86.803, 'title': 'Analyzing seattle airbnb data', 'summary': 'Provides an overview of the seattle airbnb open data set, including information on the data structure, visualizations, and data availability, emphasizing the encouragement to explore and analyze the data further for improved understanding and insights.', 'duration': 209.342, 'highlights': ['The dataset includes information on listings, pricing, and reviews, with the data being from 2016 and available on GitHub. The dataset comprises details about listings, pricing, and reviews, and it is from 2016. It is available on GitHub for access.', 'Encourages independent exploration and manipulation of the data to enhance proficiency and understanding. Encourages individuals to independently explore and manipulate the data to improve their skills and understanding.', 'The data set contains extensive information on property details such as location, type, bedrooms, beds, and pricing. The dataset contains comprehensive details about property information including location, type, bedrooms, beds, and pricing.']}, {'end': 415.053, 'start': 296.585, 'title': 'Understanding financial data and data analysis', 'summary': 'Emphasizes the importance of understanding financial data and the nuances of data analysis, highlighting the prevalence of unusable data and the need for thorough comprehension in data analysis roles.', 'duration': 118.468, 'highlights': ["It's common for more than half of financial data to be unsuitable for visualization, emphasizing the need for discernment in data analysis.", 'Understanding the nuances of data is crucial, as demonstrated by the differences between various ID fields in the dataset, stressing the importance of thorough comprehension in data analysis roles.', "The significance of specific data points is exemplified by the explanation of a listing ID's association with a specific location and rental price, underscoring the need for comprehensive understanding of data in data analysis roles."]}], 'duration': 414.924, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE129.jpg', 'highlights': ['The project aims to equip viewers with the skills to independently create a completed dashboard, suitable for portfolio inclusion or professional sharing.', 'The final dashboard to be built is described as simple and familiar, with a focus on guiding viewers through the process step by step to enable them to replicate the project easily.', 'The tutorial emphasizes simplicity and ease, ensuring that viewers can easily follow along and complete the project with minimal complexity.', 'The dataset includes information on listings, pricing, and reviews, with the data being from 2016 and available on GitHub.', 'The data set contains extensive information on property details such as location, type, bedrooms, beds, and pricing.', 'Understanding the nuances of data is crucial, as demonstrated by the differences between various ID fields in the dataset, stressing the importance of thorough comprehension in data analysis roles.', "The significance of specific data points is exemplified by the explanation of a listing ID's association with a specific location and rental price, underscoring the need for comprehensive understanding of data in data analysis roles.", "It's common for more than half of financial data to be unsuitable for visualization, emphasizing the need for discernment in data analysis."]}, {'end': 900.637, 'segs': [{'end': 464.128, 'src': 'embed', 'start': 439.504, 'weight': 0, 'content': [{'end': 445.15, 'text': 'Again, you could have 20 different use cases for this data or, more honestly, for this data,', 'start': 439.504, 'duration': 5.646}, {'end': 449.134, 'text': 'where you could build out different dashboards and different reports literally with just this data.', 'start': 445.15, 'duration': 3.984}, {'end': 453.359, 'text': "But, you know, we're doing a pretty general broad project.", 'start': 449.435, 'duration': 3.924}, {'end': 456.162, 'text': "And so it's hard to answer all of them.", 'start': 453.819, 'duration': 2.343}, {'end': 459.204, 'text': "So let's jump over to Tableau.", 'start': 457.082, 'duration': 2.122}, {'end': 463.147, 'text': "We're going to get started on this and we are going to build out everything.", 'start': 459.224, 'duration': 3.923}, {'end': 464.128, 'text': 'All right.', 'start': 463.927, 'duration': 0.201}], 'summary': 'Data can be used for 20 different use cases, dashboards, and reports; currently working on a broad project using tableau.', 'duration': 24.624, 'max_score': 439.504, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE439504.jpg'}, {'end': 519.058, 'src': 'embed', 'start': 487.187, 'weight': 5, 'content': [{'end': 488.227, 'text': "We're gonna start with the listing.", 'start': 487.187, 'duration': 1.04}, {'end': 491.09, 'text': 'This is kind of the main one.', 'start': 488.368, 'duration': 2.722}, {'end': 499.096, 'text': "I didn't show you, but there's about 3,600 locations that they had in there.", 'start': 494.052, 'duration': 5.044}, {'end': 503.339, 'text': "Let's have it update automatically.", 'start': 500.777, 'duration': 2.562}, {'end': 505.681, 'text': "I don't know why we need to click on that.", 'start': 503.359, 'duration': 2.322}, {'end': 508.283, 'text': 'So we have those listings.', 'start': 507.202, 'duration': 1.081}, {'end': 511.526, 'text': 'We have our calendar and our reviews.', 'start': 509.204, 'duration': 2.322}, {'end': 519.058, 'text': "What we're going to do is going to come in here and we're going to open it as we did in our very last video, uh, for the joins.", 'start': 512.773, 'duration': 6.285}], 'summary': 'Discussing a main listing with 3,600 locations and the need for automatic updates.', 'duration': 31.871, 'max_score': 487.187, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE487187.jpg'}, {'end': 714.354, 'src': 'embed', 'start': 689.251, 'weight': 4, 'content': [{'end': 694.456, 'text': 'If we do the correct one where we hit the listing ID, it bumps it up to 2,373,000, oh, maybe more than that.', 'start': 689.251, 'duration': 5.205}, {'end': 701.44, 'text': '23 million rows, right? A lot, lot, lot more.', 'start': 698.417, 'duration': 3.023}, {'end': 706.465, 'text': "And so it's super important to get these joins right, to tie them together on the right fields.", 'start': 701.88, 'duration': 4.585}, {'end': 714.354, 'text': 'If you just do it based off what Tableau tells you because it has that automated it goes into these fields and says okay,', 'start': 706.626, 'duration': 7.728}], 'summary': 'Accurate joins crucial for 2,373,000 listings in 23 million rows.', 'duration': 25.103, 'max_score': 689.251, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE689251.jpg'}, {'end': 790.694, 'src': 'embed', 'start': 758.433, 'weight': 3, 'content': [{'end': 761.195, 'text': "So let's go over here to our first worksheet.", 'start': 758.433, 'duration': 2.762}, {'end': 762.956, 'text': "And let's see.", 'start': 762.375, 'duration': 0.581}, {'end': 768.259, 'text': 'All right, so this says Tableau Public only works with less than 15 million rows of data.', 'start': 763.116, 'duration': 5.143}, {'end': 770.28, 'text': 'We have 23 million rows of data.', 'start': 768.299, 'duration': 1.981}, {'end': 771.26, 'text': "That's a problem.", 'start': 770.34, 'duration': 0.92}, {'end': 775.924, 'text': "Um, and when I did this before it didn't do that.", 'start': 772.701, 'duration': 3.223}, {'end': 778.125, 'text': "So I, you know, we're going to work through this together.", 'start': 775.984, 'duration': 2.141}, {'end': 780.347, 'text': 'So this is date reviews.', 'start': 778.886, 'duration': 1.461}, {'end': 790.694, 'text': 'I believe this is date for, um, this is date for the calendar, which is going to be a lot of rows of data.', 'start': 780.547, 'duration': 10.147}], 'summary': 'Tableau public supports less than 15 million rows, but our data contains 23 million rows, presenting a challenge for analysis.', 'duration': 32.261, 'max_score': 758.433, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE758433.jpg'}], 'start': 415.554, 'title': 'Data analysis, visualization, and excel data joining', 'summary': 'Explores the potential impact of data for building visualizations and dashboards, and covers the process of joining data from different tabs in microsoft excel, including insights for different reports and the challenge of working with 23 million rows of data in tableau.', 'chapters': [{'end': 459.204, 'start': 415.554, 'title': 'Data analysis and visualization', 'summary': 'Discusses the potential of the data for building visualizations and dashboards, highlighting the versatility and potential impact of the data for multiple use cases, including insights for different reports and dashboards.', 'duration': 43.65, 'highlights': ['There is a lot of valuable data for building various visualizations and dashboards, providing potential insights for 20 different use cases or more.', 'The data offers versatile potential for different reports and dashboards, contributing to a broad project with impactful potential.', 'The chapter emphasizes the potential impact of the data and its versatility for multiple use cases, highlighting the value for building different reports and dashboards.']}, {'end': 900.637, 'start': 459.224, 'title': 'Excel data joining process', 'summary': 'Covers the process of joining data from different tabs in microsoft excel, including 3,600 locations in the listings, the importance of correct joins for data accuracy, and the challenge of working with 23 million rows of data in tableau.', 'duration': 441.413, 'highlights': ['The listings contain about 3,600 locations. Mentions the significant quantity of locations in the listings, providing a quantifiable data point.', 'Challenges encountered while working with 23 million rows of data in Tableau. Discusses the challenge of handling a large volume of data, emphasizing the quantifiable data point of 23 million rows.', 'Emphasizes the importance of correct joins for data accuracy and mentions the impact of incorrect joins on the number of rows. Stresses the significance of accurate joins in maintaining data integrity and provides quantifiable data regarding the impact on the number of rows.']}], 'duration': 485.083, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE415554.jpg', 'highlights': ['The data offers versatile potential for different reports and dashboards, contributing to a broad project with impactful potential.', 'There is a lot of valuable data for building various visualizations and dashboards, providing potential insights for 20 different use cases or more.', 'The chapter emphasizes the potential impact of the data and its versatility for multiple use cases, highlighting the value for building different reports and dashboards.', 'Challenges encountered while working with 23 million rows of data in Tableau. Discusses the challenge of handling a large volume of data, emphasizing the quantifiable data point of 23 million rows.', 'Emphasizes the importance of correct joins for data accuracy and mentions the impact of incorrect joins on the number of rows. Stresses the significance of accurate joins in maintaining data integrity and provides quantifiable data regarding the impact on the number of rows.', 'The listings contain about 3,600 locations. Mentions the significant quantity of locations in the listings, providing a quantifiable data point.']}, {'end': 1345.98, 'segs': [{'end': 980.414, 'src': 'embed', 'start': 949.831, 'weight': 1, 'content': [{'end': 955.335, 'text': 'Where should I buy a home, put it up on Airbnb and start renting it out?', 'start': 949.831, 'duration': 5.504}, {'end': 956.175, 'text': "Where's the best place?", 'start': 955.375, 'duration': 0.8}, {'end': 958.777, 'text': 'What are some of the factors that I should be looking at?', 'start': 956.995, 'duration': 1.782}, {'end': 962.639, 'text': "And so that's kind of what our use case is.", 'start': 959.637, 'duration': 3.002}, {'end': 966.001, 'text': 'So some of the things that he cares about are things like bedrooms.', 'start': 962.659, 'duration': 3.342}, {'end': 971.77, 'text': "location, which is really important, and how much price he's actually going to get.", 'start': 967.207, 'duration': 4.563}, {'end': 973.791, 'text': 'How much money can he charge?', 'start': 972.39, 'duration': 1.401}, {'end': 980.414, 'text': "And so he's trying to optimize that, to make sure that, whatever rental he gets, he can make the most profit from,", 'start': 974.171, 'duration': 6.243}], 'summary': 'Optimizing airbnb rental for maximum profit by considering factors like location, bedrooms, and rental prices.', 'duration': 30.583, 'max_score': 949.831, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE949831.jpg'}, {'end': 1081.037, 'src': 'heatmap', 'start': 1009.862, 'weight': 0, 'content': [{'end': 1017.086, 'text': 'So we just want to find the price, which should actually be down here and not the sum.', 'start': 1009.862, 'duration': 7.224}, {'end': 1022.672, 'text': 'No, we want to look at the average price.', 'start': 1019.89, 'duration': 2.782}, {'end': 1024.634, 'text': "And let's order that.", 'start': 1023.873, 'duration': 0.761}, {'end': 1026.575, 'text': 'This is great.', 'start': 1025.714, 'duration': 0.861}, {'end': 1036.644, 'text': 'So this is the most expensive one, zip code 98134 at $206 for the average price.', 'start': 1027.296, 'duration': 9.348}, {'end': 1038.886, 'text': "But let's give that some color really quick.", 'start': 1037.204, 'duration': 1.682}, {'end': 1042.428, 'text': "Where's the zip code? It's up here.", 'start': 1039.286, 'duration': 3.142}, {'end': 1044.17, 'text': "So let's take that zip code.", 'start': 1042.448, 'duration': 1.722}, {'end': 1045.151, 'text': "We're going to put it right over here.", 'start': 1044.19, 'duration': 0.961}, {'end': 1046.172, 'text': "We're going to do color.", 'start': 1045.171, 'duration': 1.001}, {'end': 1049.795, 'text': "and it's gonna give it some assorted colors.", 'start': 1046.892, 'duration': 2.903}, {'end': 1056.921, 'text': "Now, these colors are gonna, when we do the map in just a little bit, these colors will match what we're doing in there.", 'start': 1049.835, 'duration': 7.086}, {'end': 1060.964, 'text': 'And so, you know, I like to try to color coordinate things.', 'start': 1057.982, 'duration': 2.982}, {'end': 1064.027, 'text': "We're not going too crazy with the colors today.", 'start': 1061.805, 'duration': 2.222}, {'end': 1066.589, 'text': 'So this is our very first visualization, congratulations.', 'start': 1064.487, 'duration': 2.102}, {'end': 1068.751, 'text': 'It is complete.', 'start': 1066.929, 'duration': 1.822}, {'end': 1077.855, 'text': 'So we can label this one, and we can just do, price by zip code.', 'start': 1069.431, 'duration': 8.424}, {'end': 1081.037, 'text': "And I'll make that bold.", 'start': 1078.776, 'duration': 2.261}], 'summary': 'Analyzing average price by zip code, highest at 98134, $206.', 'duration': 61.147, 'max_score': 1009.862, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE1009862.jpg'}, {'end': 1203.882, 'src': 'heatmap', 'start': 1152.332, 'weight': 4, 'content': [{'end': 1159.277, 'text': "We don't want to deviate from that and start using different longitude and latitudinal coordinates,", 'start': 1152.332, 'duration': 6.945}, {'end': 1161.958, 'text': 'because that could throw off our results completely.', 'start': 1159.277, 'duration': 2.681}, {'end': 1164.18, 'text': "We wanna stay consistent with what we're using.", 'start': 1162.018, 'duration': 2.162}, {'end': 1170.764, 'text': "So we actually want to use this zip code, but when we pull it up here, it's gonna give us basically the same.", 'start': 1164.72, 'duration': 6.044}, {'end': 1174.146, 'text': "you know, it's gonna show these zip codes, but we are gonna right over here.", 'start': 1170.764, 'duration': 3.382}, {'end': 1177.09, 'text': "we're gonna click on this one And now it's going to separate them out.", 'start': 1174.146, 'duration': 2.944}, {'end': 1181.052, 'text': 'So now we have all of these kind of separated out.', 'start': 1177.59, 'duration': 3.462}, {'end': 1185.134, 'text': 'What you might get when you first do this is it might look like this.', 'start': 1181.572, 'duration': 3.562}, {'end': 1186.935, 'text': 'You may have to zoom in.', 'start': 1185.995, 'duration': 0.94}, {'end': 1189.197, 'text': 'I know that happened to me the other time.', 'start': 1187.736, 'duration': 1.461}, {'end': 1192.158, 'text': 'Let me go to here.', 'start': 1189.217, 'duration': 2.941}, {'end': 1194.76, 'text': "That's what happened to me just when I first did it.", 'start': 1192.438, 'duration': 2.322}, {'end': 1197.601, 'text': 'So know that that may happen.', 'start': 1195.54, 'duration': 2.061}, {'end': 1203.882, 'text': 'we want to change the colors the exact same way that we did them before.', 'start': 1200.02, 'duration': 3.862}], 'summary': 'Consistency in using zip codes for accurate results is crucial.', 'duration': 51.55, 'max_score': 1152.332, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE1152332.jpg'}, {'end': 1295.84, 'src': 'embed', 'start': 1271.722, 'weight': 3, 'content': [{'end': 1279.865, 'text': "when we create it, you can't click on this, but if you just wanna do it visually without having to click anywhere, you'll be able to see okay, 98134,", 'start': 1271.722, 'duration': 8.143}, {'end': 1280.405, 'text': "that's right here.", 'start': 1279.865, 'duration': 0.54}, {'end': 1284.427, 'text': 'So this location right here is able to charge a lot of money.', 'start': 1280.425, 'duration': 4.002}, {'end': 1286.048, 'text': "It's probably a really nice neighborhood.", 'start': 1284.447, 'duration': 1.601}, {'end': 1292.178, 'text': 'So, and we can back that up by putting the average price.', 'start': 1286.775, 'duration': 5.403}, {'end': 1295.84, 'text': 'So these, these two visualizations are really, they really go hand in hand.', 'start': 1292.198, 'duration': 3.642}], 'summary': 'Visualizations show a high-earning location at 98134, indicating an affluent neighborhood.', 'duration': 24.118, 'max_score': 1271.722, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE1271722.jpg'}], 'start': 901.137, 'title': 'Zip code price analysis for airbnb', 'summary': 'Discusses conducting a zip code price analysis for potential airbnb locations, considering factors like bedrooms, location, and rental prices to optimize profit, while helping a potential airbnb host make informed decisions. it also visualizes zip codes and average prices, highlighting the most expensive zip code 98134 at $206 and demonstrates color coordination in the visualization, followed by adding labels to show location and average prices for effective visualization.', 'chapters': [{'end': 992.813, 'start': 901.137, 'title': 'Zip code price analysis for airbnb', 'summary': 'Discusses conducting a zip code price analysis for potential airbnb locations, considering factors like bedrooms, location, and rental prices to optimize profit, while helping a potential airbnb host make informed decisions.', 'duration': 91.676, 'highlights': ['The use case for the data involves helping someone start an Airbnb business by analyzing factors like bedrooms, location, and rental prices to optimize profit.', 'The chapter emphasizes the importance of factors like bedrooms, location, and rental prices in determining the best place to buy a home for an Airbnb business.', 'The colorful one is the first analysis, focusing on evaluating the expense of each zip code for potential Airbnb locations.']}, {'end': 1345.98, 'start': 993.733, 'title': 'Visualizing zip codes and average prices', 'summary': 'Visualizes zip codes and average prices, highlighting the most expensive zip code 98134 at $206 and demonstrates color coordination in the visualization, followed by adding labels to show location and average prices for effective visualization.', 'duration': 352.247, 'highlights': ['The most expensive zip code is 98134 with an average price of $206, demonstrating the potential to charge the most for an Airbnb.', 'The chapter emphasizes color coordination in visualizations to match with the map, providing effective and clear data representation.', 'Adding labels to the visualization allows for clear location identification and showcases the ability to charge higher prices in specific neighborhoods.', 'The chapter ensures consistency in data usage, particularly in longitude and latitudinal coordinates, to avoid potential deviations that could impact the results.', 'The visualization effectively pairs zip codes with average prices to provide comprehensive and informative data for potential Airbnb buyers.']}], 'duration': 444.843, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE901137.jpg', 'highlights': ['The most expensive zip code is 98134 with an average price of $206, demonstrating the potential to charge the most for an Airbnb.', 'The use case for the data involves helping someone start an Airbnb business by analyzing factors like bedrooms, location, and rental prices to optimize profit.', 'The chapter emphasizes color coordination in visualizations to match with the map, providing effective and clear data representation.', 'Adding labels to the visualization allows for clear location identification and showcases the ability to charge higher prices in specific neighborhoods.', 'The chapter ensures consistency in data usage, particularly in longitude and latitudinal coordinates, to avoid potential deviations that could impact the results.']}, {'end': 1884.329, 'segs': [{'end': 1376.742, 'src': 'embed', 'start': 1346.34, 'weight': 1, 'content': [{'end': 1348.441, 'text': 'So that is our second visualization.', 'start': 1346.34, 'duration': 2.101}, {'end': 1352.224, 'text': 'Again, these ones are directly correlated.', 'start': 1348.501, 'duration': 3.723}, {'end': 1356.146, 'text': "And, you know, there's just different ways to visualize it.", 'start': 1352.604, 'duration': 3.542}, {'end': 1359.168, 'text': 'This one you can see actually on the map where it is and the average price.', 'start': 1356.186, 'duration': 2.982}, {'end': 1361.17, 'text': 'This one you can see from highest to lowest.', 'start': 1359.409, 'duration': 1.761}, {'end': 1368.635, 'text': "So again, you know, sometimes, when you're doing these visualizations, you're going to have these accompanying, uh,", 'start': 1361.19, 'duration': 7.445}, {'end': 1371.017, 'text': 'these accompanying visualizations in your dashboard.', 'start': 1368.635, 'duration': 2.382}, {'end': 1372.899, 'text': "that's very normal.", 'start': 1371.017, 'duration': 1.882}, {'end': 1376.742, 'text': "so let's move over to the third one.", 'start': 1372.899, 'duration': 3.843}], 'summary': 'Visualizations show direct correlation and different ways to display data on map and in ranking.', 'duration': 30.402, 'max_score': 1346.34, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE1346340.jpg'}, {'end': 1685.565, 'src': 'embed', 'start': 1630.959, 'weight': 0, 'content': [{'end': 1640.171, 'text': 'So in November December for the holidays to visit family and then in the summer for vacations, I would tell him, just based off this one thing,', 'start': 1630.959, 'duration': 9.212}, {'end': 1647.601, 'text': "I would say hey, over the summer and then at the end of the year and during the holidays, that's when I would be renting out your Airbnb.", 'start': 1640.171, 'duration': 7.43}, {'end': 1654.647, 'text': 'Okay So just this one very simple visualization can help him understand the best times to do that.', 'start': 1648.161, 'duration': 6.486}, {'end': 1655.567, 'text': 'That may have been intuitive.', 'start': 1654.687, 'duration': 0.88}, {'end': 1660.752, 'text': 'You may have already known that, but you can prove it with the data, which is always really helpful.', 'start': 1655.587, 'duration': 5.165}, {'end': 1675.164, 'text': "And let's see, is there anything else that we need to do with this? I'm just going to label it and I'm going to say revenue for a year.", 'start': 1662.193, 'duration': 12.971}, {'end': 1681.424, 'text': 'choose do bold, do apply, there we go.', 'start': 1677.842, 'duration': 3.582}, {'end': 1683.224, 'text': "Did I label this last one? I didn't.", 'start': 1681.484, 'duration': 1.74}, {'end': 1685.565, 'text': "Let's label that last one.", 'start': 1684.265, 'duration': 1.3}], 'summary': 'Suggesting peak rental times for airbnb to maximize revenue.', 'duration': 54.606, 'max_score': 1630.959, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE1630959.jpg'}, {'end': 1863.876, 'src': 'embed', 'start': 1837.475, 'weight': 3, 'content': [{'end': 1843.177, 'text': 'Those are all different visualizations that we can do, but the one that brings in the most money, that brought in 63,', 'start': 1837.475, 'duration': 5.702}, {'end': 1850.092, 'text': 'or that has $63 million worth of worth of listings.', 'start': 1843.177, 'duration': 6.915}, {'end': 1854.794, 'text': 'So they all add up, those one bedrooms are doing phenomenal.', 'start': 1850.652, 'duration': 4.142}, {'end': 1860.455, 'text': 'Half of that are two bedrooms at 30 million, three bedrooms at 18 million and so on and so forth.', 'start': 1855.154, 'duration': 5.301}, {'end': 1863.876, 'text': "So there's a ton of one bedroom ones.", 'start': 1860.795, 'duration': 3.081}], 'summary': 'One-bedroom listings brought in $63 million, followed by two-bedrooms at $30 million and three-bedrooms at $18 million.', 'duration': 26.401, 'max_score': 1837.475, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE1837475.jpg'}], 'start': 1346.34, 'title': 'Airbnb market analysis and revenue impact', 'summary': 'Discusses visualizations for understanding airbnb market trends, including average price, peak spending times, and data manipulation for decision-making. it also covers analyzing the impact of the number of bedrooms on revenue, with insights on revenue distribution by bedroom count.', 'chapters': [{'end': 1654.647, 'start': 1346.34, 'title': 'Airbnb market analysis', 'summary': 'Discusses visualizations for understanding airbnb market trends, including average price, peak spending times, and data manipulation for decision-making, with a focus on identifying the best times for renting out an airbnb.', 'duration': 308.307, 'highlights': ['The visualization provides insights into the best times for renting out an Airbnb, such as the end of the year and during the holidays, based on data showing peak travel periods and low-demand periods. The visualization helps identify the best times for renting out an Airbnb, such as the end of the year and during the holidays, based on data showing peak travel periods and low-demand periods.', 'Data manipulation techniques are discussed, including separating data by year and week to analyze trends, and the importance of filtering and formatting data to improve visualizations and decision-making. The discussion includes data manipulation techniques, such as separating data by year and week to analyze trends, and emphasizes the importance of filtering and formatting data to improve visualizations and decision-making.', 'Visualizations for understanding Airbnb market trends are explored, including different ways to visualize average prices and the use of accompanying visualizations in a dashboard for comprehensive analysis. The exploration covers visualizations for understanding Airbnb market trends, including different ways to visualize average prices and the use of accompanying visualizations in a dashboard for comprehensive analysis.']}, {'end': 1884.329, 'start': 1654.687, 'title': 'Airbnb analysis: bedrooms and revenue', 'summary': 'Covers the process of analyzing airbnb data, including labeling, categorizing and visualizing the impact of the number of bedrooms on revenue, with insights on revenue distribution by bedroom count.', 'duration': 229.642, 'highlights': ["The analysis involves labeling and categorizing data, such as 'revenue for a year' and 'price per zip code', providing structured insights for further analysis.", 'The impact of the number of bedrooms on Airbnb revenue is highlighted, demonstrating that one-bedroom listings generated the most revenue at $63 million, followed by two-bedroom listings at $30 million and three-bedroom listings at $18 million.', 'The process includes converting numerical values to measure names and removing null or zero bedroom listings to ensure accurate analysis and visualization.']}], 'duration': 537.989, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE1346340.jpg', 'highlights': ['The visualization provides insights into the best times for renting out an Airbnb, such as the end of the year and during the holidays, based on data showing peak travel periods and low-demand periods.', 'Visualizations for understanding Airbnb market trends are explored, including different ways to visualize average prices and the use of accompanying visualizations in a dashboard for comprehensive analysis.', "The analysis involves labeling and categorizing data, such as 'revenue for a year' and 'price per zip code', providing structured insights for further analysis.", 'The impact of the number of bedrooms on Airbnb revenue is highlighted, demonstrating that one-bedroom listings generated the most revenue at $63 million, followed by two-bedroom listings at $30 million and three-bedroom listings at $18 million.']}, {'end': 2644.262, 'segs': [{'end': 1909.683, 'src': 'embed', 'start': 1884.329, 'weight': 2, 'content': [{'end': 1891.234, 'text': "because if it doesn't have the bedrooms you know that's not helpful to us, and it has zero bedrooms, That's that's genuinely a problem.", 'start': 1884.329, 'duration': 6.905}, {'end': 1895.977, 'text': 'I will not be renting an Airbnb with my family that has zero bedrooms in it.', 'start': 1891.274, 'duration': 4.703}, {'end': 1901.401, 'text': 'So now we have this, And it would be really helpful to be able to see that in the visualization.', 'start': 1895.977, 'duration': 5.424}, {'end': 1905.702, 'text': "I mean, it's just kind of hard to see it as is.", 'start': 1901.421, 'duration': 4.281}, {'end': 1909.683, 'text': 'I mean, it just does not hurt to add that right here.', 'start': 1905.722, 'duration': 3.961}], 'summary': 'Requesting visualization of airbnb with zero bedrooms to avoid renting unsuitable properties.', 'duration': 25.354, 'max_score': 1884.329, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE1884329.jpg'}, {'end': 1986.688, 'src': 'embed', 'start': 1960.88, 'weight': 0, 'content': [{'end': 1966.523, 'text': "I mean, if it has five or six bedrooms in it, it's probably a really large, really nice home, and you can charge a lot more money.", 'start': 1960.88, 'duration': 5.643}, {'end': 1968.784, 'text': 'And our friend is extremely wealthy.', 'start': 1966.943, 'duration': 1.841}, {'end': 1969.604, 'text': 'He can buy whatever he wants.', 'start': 1968.804, 'duration': 0.8}, {'end': 1978.686, 'text': "And so he may be looking at these larger ones, seeing that there's a much higher return on his investment, the higher and the more bedrooms he goes.", 'start': 1969.644, 'duration': 9.042}, {'end': 1981.627, 'text': "So we're going to keep it just as it is.", 'start': 1979.186, 'duration': 2.441}, {'end': 1986.688, 'text': "And let me see if there's anything else that we want to do with this.", 'start': 1981.647, 'duration': 5.041}], 'summary': 'Larger homes with 5-6 bedrooms yield higher returns; friend is wealthy and interested in such properties.', 'duration': 25.808, 'max_score': 1960.88, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE1960880.jpg'}, {'end': 2160.555, 'src': 'embed', 'start': 2132.008, 'weight': 3, 'content': [{'end': 2134.309, 'text': 'only five that have 20 and six that have five.', 'start': 2132.008, 'duration': 2.301}, {'end': 2139.41, 'text': "So the more you go up, the less and less it is, or the less and less competition there's going to be.", 'start': 2134.349, 'duration': 5.061}, {'end': 2142.671, 'text': 'Now is there a lot of demand for four bedroom, five bedroom, six bedroom?', 'start': 2139.45, 'duration': 3.221}, {'end': 2144.892, 'text': "Uh, that's where our friend to figure out.", 'start': 2143.151, 'duration': 1.741}, {'end': 2147.112, 'text': "um well, maybe we'll help them out with that later.", 'start': 2144.892, 'duration': 2.22}, {'end': 2149.533, 'text': 'Um, in the, with the data.', 'start': 2147.652, 'duration': 1.881}, {'end': 2152.47, 'text': 'know we could look at the reviews that we had.', 'start': 2149.929, 'duration': 2.541}, {'end': 2155.612, 'text': "um, there's so much data in here and we could absolutely figure that out.", 'start': 2152.47, 'duration': 3.142}, {'end': 2160.555, 'text': "but for what it's worth, we're giving him this initial stuff and he'll have follow-up questions for us later.", 'start': 2155.612, 'duration': 4.943}], 'summary': 'Limited supply for larger properties, potential demand for 4-6 bedrooms.', 'duration': 28.547, 'max_score': 2132.008, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE2132008.jpg'}, {'end': 2236.042, 'src': 'embed', 'start': 2207.739, 'weight': 4, 'content': [{'end': 2213.822, 'text': "this probably wouldn't be what i would keep if i had this or like an actual project, but it works for now.", 'start': 2207.739, 'duration': 6.083}, {'end': 2220.646, 'text': "so we have our five visualizations one, two, three, four and five and let's create our dashboard.", 'start': 2213.822, 'duration': 6.824}, {'end': 2221.906, 'text': "that's gonna be this button right here.", 'start': 2220.646, 'duration': 1.26}, {'end': 2227.449, 'text': "so we're gonna click that we are going to, uh, go right here.", 'start': 2221.906, 'duration': 5.543}, {'end': 2230.851, 'text': "i'm going to say automatic, because we want to use this entire area.", 'start': 2227.449, 'duration': 3.402}, {'end': 2236.042, 'text': "And so now we're just going to start pulling them over.", 'start': 2231.96, 'duration': 4.082}], 'summary': 'Creating a dashboard with five visualizations for a project.', 'duration': 28.303, 'max_score': 2207.739, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE2207739.jpg'}, {'end': 2644.262, 'src': 'embed', 'start': 2608.195, 'weight': 6, 'content': [{'end': 2619.206, 'text': 'make completely unique dashboards and visualizations and create projects and add it to your portfolios so that you can create a fantastic portfolio website and get a job.', 'start': 2608.195, 'duration': 11.011}, {'end': 2620.428, 'text': "And that's what this is all about.", 'start': 2619.426, 'duration': 1.002}, {'end': 2626.874, 'text': "It's about upskilling and getting these skills that you can get a job or do better in your job.", 'start': 2620.728, 'duration': 6.146}, {'end': 2628.796, 'text': 'So I hope this has been helpful.', 'start': 2627.074, 'duration': 1.722}, {'end': 2632.978, 'text': 'I really, I appreciate you guys joining me and doing this entire project with me.', 'start': 2628.976, 'duration': 4.002}, {'end': 2634.519, 'text': 'I have no idea how long this is.', 'start': 2633.038, 'duration': 1.481}, {'end': 2636.539, 'text': "It's probably, this could be like an hour for all I know.", 'start': 2634.599, 'duration': 1.94}, {'end': 2639.96, 'text': 'So thank you so much for sticking with me this entire time.', 'start': 2637.3, 'duration': 2.66}, {'end': 2644.262, 'text': 'If you liked this video, be sure to like and subscribe below and I will see you in the next video.', 'start': 2640.141, 'duration': 4.121}], 'summary': 'Learn to create unique dashboards and visualizations to enhance your portfolio and job prospects.', 'duration': 36.067, 'max_score': 2608.195, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE2608195.jpg'}], 'start': 1884.329, 'title': 'Visualizing airbnb data for pricing trends', 'summary': 'Discusses visualizing airbnb data to identify pricing trends based on the number of bedrooms, aiming to maximize return on investment for a wealthy friend. it also involves a data visualization project for airbnb data analysis, including creating a dashboard and sharing the final project, providing initial insights for further data exploration and dashboard creation.', 'chapters': [{'end': 2008.075, 'start': 1884.329, 'title': 'Visualizing airbnb data', 'summary': 'Discusses visualizing airbnb data to identify pricing trends based on the number of bedrooms, with a focus on maximizing return on investment for a wealthy friend by targeting larger homes.', 'duration': 123.746, 'highlights': ['Identifying pricing trends based on the number of bedrooms, with a focus on maximizing return on investment for a wealthy friend by targeting larger homes', 'The significant increase in potential earnings for five and six bedroom homes makes targeting larger properties a strategic move for maximizing return on investment', 'The importance of visualizing the number of bedrooms in Airbnb listings for decision-making, as zero bedrooms would not be suitable for renting with family']}, {'end': 2644.262, 'start': 2008.895, 'title': 'Data visualization project for airbnb data analysis', 'summary': 'Involves a data visualization project for airbnb data analysis, including visualizing the count of bedrooms, creating a dashboard, and sharing the final project, aimed at providing initial insights for a friend with potential for further data exploration and dashboard creation.', 'duration': 635.367, 'highlights': ['Visualizing the count of bedrooms, showing 1,800 one-bedroom, 483 two-bedroom, 206 three-bedroom, 55 four-bedroom, 20 five-bedroom, and 5 six-bedroom listings, indicating decreasing competition as the number of bedrooms increases.', 'Creating a dashboard to present the visualizations, including the use of Tableau for data visualization and dashboard creation, with a step-by-step guide on how to share the final project and encourage further exploration of up-to-date data.', 'Emphasizing the potential for additional data exploration and dashboard creation, as the initial insights may lead to follow-up questions and requests for different data visualizations, aligning with the common iterative process in dashboard creation and data analysis projects.', 'Encouraging viewers to utilize the extensive Airbnb data, explore different data points, and create unique dashboards and visualizations for their portfolios, highlighting the goal of upskilling for career advancement and job opportunities.', "Expressing appreciation for the audience's engagement and providing a call to action to like, subscribe, and anticipate future videos, concluding the chapter with a positive and engaging tone."]}], 'duration': 759.933, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/zOR0-nygfDE/pics/zOR0-nygfDE1884329.jpg', 'highlights': ['Targeting larger properties for maximizing return on investment for a wealthy friend', 'Significant increase in potential earnings for five and six bedroom homes', 'Importance of visualizing the number of bedrooms in Airbnb listings for decision-making', 'Visualizing the count of bedrooms to show decreasing competition as the number of bedrooms increases', 'Creating a dashboard using Tableau for data visualization and sharing the final project', 'Emphasizing the potential for additional data exploration and dashboard creation', 'Encouraging viewers to utilize the extensive Airbnb data for upskilling and career advancement', "Expressing appreciation for the audience's engagement and providing a call to action"]}], 'highlights': ['The project aims to equip viewers with the skills to independently create a completed dashboard, suitable for portfolio inclusion or professional sharing.', 'The final dashboard to be built is described as simple and familiar, with a focus on guiding viewers through the process step by step to enable them to replicate the project easily.', 'The tutorial emphasizes simplicity and ease, ensuring that viewers can easily follow along and complete the project with minimal complexity.', 'The dataset includes information on listings, pricing, and reviews, with the data being from 2016 and available on GitHub.', 'The data set contains extensive information on property details such as location, type, bedrooms, beds, and pricing.', 'Understanding the nuances of data is crucial, as demonstrated by the differences between various ID fields in the dataset, stressing the importance of thorough comprehension in data analysis roles.', "The significance of specific data points is exemplified by the explanation of a listing ID's association with a specific location and rental price, underscoring the need for comprehensive understanding of data in data analysis roles.", "It's common for more than half of financial data to be unsuitable for visualization, emphasizing the need for discernment in data analysis.", 'The data offers versatile potential for different reports and dashboards, contributing to a broad project with impactful potential.', 'There is a lot of valuable data for building various visualizations and dashboards, providing potential insights for 20 different use cases or more.', 'The chapter emphasizes the potential impact of the data and its versatility for multiple use cases, highlighting the value for building different reports and dashboards.', 'Challenges encountered while working with 23 million rows of data in Tableau. Discusses the challenge of handling a large volume of data, emphasizing the quantifiable data point of 23 million rows.', 'Emphasizes the importance of correct joins for data accuracy and mentions the impact of incorrect joins on the number of rows. Stresses the significance of accurate joins in maintaining data integrity and provides quantifiable data regarding the impact on the number of rows.', 'The listings contain about 3,600 locations. Mentions the significant quantity of locations in the listings, providing a quantifiable data point.', 'The most expensive zip code is 98134 with an average price of $206, demonstrating the potential to charge the most for an Airbnb.', 'The use case for the data involves helping someone start an Airbnb business by analyzing factors like bedrooms, location, and rental prices to optimize profit.', 'The chapter emphasizes color coordination in visualizations to match with the map, providing effective and clear data representation.', 'Adding labels to the visualization allows for clear location identification and showcases the ability to charge higher prices in specific neighborhoods.', 'The chapter ensures consistency in data usage, particularly in longitude and latitudinal coordinates, to avoid potential deviations that could impact the results.', 'The visualization provides insights into the best times for renting out an Airbnb, such as the end of the year and during the holidays, based on data showing peak travel periods and low-demand periods.', 'Visualizations for understanding Airbnb market trends are explored, including different ways to visualize average prices and the use of accompanying visualizations in a dashboard for comprehensive analysis.', "The analysis involves labeling and categorizing data, such as 'revenue for a year' and 'price per zip code', providing structured insights for further analysis.", 'The impact of the number of bedrooms on Airbnb revenue is highlighted, demonstrating that one-bedroom listings generated the most revenue at $63 million, followed by two-bedroom listings at $30 million and three-bedroom listings at $18 million.', 'Targeting larger properties for maximizing return on investment for a wealthy friend', 'Significant increase in potential earnings for five and six bedroom homes', 'Importance of visualizing the number of bedrooms in Airbnb listings for decision-making', 'Visualizing the count of bedrooms to show decreasing competition as the number of bedrooms increases', 'Creating a dashboard using Tableau for data visualization and sharing the final project', 'Emphasizing the potential for additional data exploration and dashboard creation', 'Encouraging viewers to utilize the extensive Airbnb data for upskilling and career advancement', "Expressing appreciation for the audience's engagement and providing a call to action"]}