title
Pivot Tables in Excel | Excel Tutorials for Beginners

description
Take my Full Excel for Data Analytics Course! https://www.analystbuilder.com/courses/excel-for-data-analytics Excel is one of the most used skills in the data world. In this series we will be walking through all of the most important topics that Data Analysts need to know in order to be proficient in Excel. Bike Dataset: https://www.kaggle.com/sadiqshah/bike-store-sales-in-europe/data Udemy Excel Courses: Pivot Tables in Excel: https://bit.ly/3GEeYoc Visualizations and Charts in Excel: https://bit.ly/3DPwRhK All Excel Essentials: https://bit.ly/31Y2I2Q ____________________________________________ 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': 'Pivot Tables in Excel | Excel Tutorials for Beginners', 'heatmap': [{'end': 542.472, 'start': 511.314, 'weight': 0.785}, {'end': 735.229, 'start': 716.803, 'weight': 0.858}, {'end': 943.42, 'start': 908.686, 'weight': 1}], 'summary': 'An extensive excel tutorial series covers pivot tables, charts, lookups, and dealing with data, sponsored by udemy. pivot tables are demonstrated using a bike store sales dataset in europe, showing revenue, profit, and cost per country and state, with the united states generating the highest revenue of $27 million and a profit of $11 million. it also covers creating calculated fields for accurate profit calculations and utilizing pivot tables in excel for data filtering, analysis, and visualization.', 'chapters': [{'end': 74.143, 'segs': [{'end': 56.259, 'src': 'embed', 'start': 0.17, 'weight': 0, 'content': [{'end': 3.181, 'text': "What's going on everybody? Today we are starting our Excel tutorial series.", 'start': 0.17, 'duration': 3.011}, {'end': 13.952, 'text': "Now, there are so many things that you can do in Excel, so I don't know how long the series is going to be.", 'start': 9.571, 'duration': 4.381}, {'end': 15.913, 'text': 'It could be 15 or even 20 videos.', 'start': 13.972, 'duration': 1.941}, {'end': 21.494, 'text': "But what I do know is that I'm going to be covering just about every single thing that I've used since I became a data analyst,", 'start': 16.293, 'duration': 5.201}, {'end': 22.854, 'text': 'and I want to show you how to do it.', 'start': 21.494, 'duration': 1.36}, {'end': 29.076, 'text': "So it won't just be the more concrete things, you know, like pivot tables, charts, need lookups, things like that.", 'start': 23.495, 'duration': 5.581}, {'end': 36.258, 'text': "It'll also be some of the more nuanced things like how to deal with missing data or how to deal with dirty data and how to clean that up within Excel.", 'start': 29.376, 'duration': 6.882}, {'end': 41.22, 'text': "And so those are things that you may not be able to do, you know, if somebody wasn't showing you how to do it.", 'start': 36.718, 'duration': 4.502}, {'end': 47.103, 'text': "And so that's what I'm gonna try to help you because I know that that is something that you will need to do or learn how to do in Excel.", 'start': 41.58, 'duration': 5.523}, {'end': 51.038, 'text': 'Now, before we get into it, I want to give a huge shout out to the sponsor of this Excel series.', 'start': 47.597, 'duration': 3.441}, {'end': 52.238, 'text': 'And that is Udemy.', 'start': 51.158, 'duration': 1.08}, {'end': 56.259, 'text': 'I took so many Excel courses on Udemy when I was first starting out as a data analyst.', 'start': 52.478, 'duration': 3.781}], 'summary': 'Starting an excel tutorial series with 15-20 videos covering various data analysis topics and sponsored by udemy.', 'duration': 56.089, 'max_score': 0.17, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA170.jpg'}], 'start': 0.17, 'title': 'Excel tutorial series', 'summary': 'Discusses the launch of an extensive excel tutorial series covering pivot tables, charts, lookups, dealing with missing and dirty data, and acknowledges udemy as the sponsor.', 'chapters': [{'end': 74.143, 'start': 0.17, 'title': 'Excel tutorial series: comprehensive guide', 'summary': 'Discusses the launch of an extensive excel tutorial series, covering various topics including pivot tables, charts, lookups, dealing with missing and dirty data, and acknowledges the sponsor udemy for providing essential excel courses.', 'duration': 73.973, 'highlights': ['The series will cover a wide range of topics, including pivot tables, charts, lookups, dealing with missing and dirty data, and other nuanced Excel functionalities, potentially spanning 15 to 20 videos.', 'The speaker emphasizes the importance of learning to deal with missing and dirty data within Excel, as these are crucial skills for data analysts.', "The chapter acknowledges Udemy as the sponsor of the Excel tutorial series, highlighting the value of the courses in providing essential knowledge for the speaker's role as a data analyst."]}], 'duration': 73.973, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA170.jpg', 'highlights': ['The series will cover a wide range of topics, including pivot tables, charts, lookups, dealing with missing and dirty data, and other nuanced Excel functionalities, potentially spanning 15 to 20 videos.', 'The speaker emphasizes the importance of learning to deal with missing and dirty data within Excel, as these are crucial skills for data analysts.', "The chapter acknowledges Udemy as the sponsor of the Excel tutorial series, highlighting the value of the courses in providing essential knowledge for the speaker's role as a data analyst."]}, {'end': 684.323, 'segs': [{'end': 124.353, 'src': 'embed', 'start': 87.394, 'weight': 3, 'content': [{'end': 94.1, 'text': 'It is probably one of the most commonly used things, I think, that data analysts use to convey information in Excel.', 'start': 87.394, 'duration': 6.706}, {'end': 99.905, 'text': "It's super easy to group things together to display information in a very easily understandable way.", 'start': 94.581, 'duration': 5.324}, {'end': 103.728, 'text': 'especially for people who are not data analysts.', 'start': 100.746, 'duration': 2.982}, {'end': 112.656, 'text': "I use this a lot for other managers or for higher-ups who don't want to get into SQL or aren't super tech savvy in Python or Tableau.", 'start': 103.849, 'duration': 8.807}, {'end': 113.877, 'text': 'They just want it in Excel.', 'start': 112.696, 'duration': 1.181}, {'end': 116.567, 'text': 'And so I use it all the time for that reason.', 'start': 114.625, 'duration': 1.942}, {'end': 120.41, 'text': "And so we're going to be using this dataset right here, bike store sales in Europe.", 'start': 117.347, 'duration': 3.063}, {'end': 122.211, 'text': 'I will include this link in the description.', 'start': 120.49, 'duration': 1.721}, {'end': 124.353, 'text': "Um, we're not going to look at the column just yet.", 'start': 122.971, 'duration': 1.382}], 'summary': "Excel's grouping tool simplifies data presentation, aiding non-analysts. used for managers and higher-ups, frequently for bike store sales analysis.", 'duration': 36.959, 'max_score': 87.394, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA87394.jpg'}, {'end': 458.955, 'src': 'embed', 'start': 426.291, 'weight': 0, 'content': [{'end': 430.595, 'text': "So just for visual purposes, let's add this revenue.", 'start': 426.291, 'duration': 4.304}, {'end': 436.715, 'text': "So this is the revenue that is bike sales revenue, right? That's what we're looking at.", 'start': 431.55, 'duration': 5.165}, {'end': 442.9, 'text': 'So this is the sum of the revenue for these bike sales per country.', 'start': 437.195, 'duration': 5.705}, {'end': 455.65, 'text': 'Now, if we drop down right here, we can see that in Australia, New South Wales had 92, what is that? $9, 203, 495.', 'start': 443.501, 'duration': 12.149}, {'end': 458.955, 'text': 'Queensland had five million, et cetera, et cetera.', 'start': 455.652, 'duration': 3.303}], 'summary': 'Visualizing bike sales revenue per country with specific figures.', 'duration': 32.664, 'max_score': 426.291, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA426291.jpg'}, {'end': 542.472, 'src': 'heatmap', 'start': 511.314, 'weight': 0.785, 'content': [{'end': 517.596, 'text': "Already, this looks quite a bit better just visually, especially if you're looking at it in dollars.", 'start': 511.314, 'duration': 6.282}, {'end': 522.878, 'text': 'You can change the currency to different currencies if you want to do that.', 'start': 517.635, 'duration': 5.243}, {'end': 527.82, 'text': "Now, we don't just have to do the sum of revenue.", 'start': 523.758, 'duration': 4.062}, {'end': 529.56, 'text': 'We can do a lot of different things.', 'start': 527.86, 'duration': 1.7}, {'end': 531.241, 'text': "Let's go to the value field settings.", 'start': 529.58, 'duration': 1.661}, {'end': 533.949, 'text': 'So we can customize this name.', 'start': 532.369, 'duration': 1.58}, {'end': 542.472, 'text': 'So we can do revenue per country.', 'start': 534.61, 'duration': 7.862}], 'summary': 'Visual improvement in revenue tracking with customizable currency and data fields.', 'duration': 31.158, 'max_score': 511.314, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA511314.jpg'}, {'end': 689.128, 'src': 'embed', 'start': 663.331, 'weight': 2, 'content': [{'end': 670.835, 'text': 'Now the cost is how much did it cost to manufacture or store or distribute all of these products.', 'start': 663.331, 'duration': 7.504}, {'end': 671.816, 'text': 'So that was 60 million.', 'start': 670.855, 'duration': 0.961}, {'end': 675.638, 'text': 'And the profit is actually how much money is being made.', 'start': 672.096, 'duration': 3.542}, {'end': 682.722, 'text': "At the end of the day, after all their costs, after all their employee costs, after everything they're still making,", 'start': 675.898, 'duration': 6.824}, {'end': 684.323, 'text': 'the United States is still making $11 million.', 'start': 682.722, 'duration': 1.601}, {'end': 689.128, 'text': 'Now you might look at this and you might say well, you know,', 'start': 686.607, 'duration': 2.521}], 'summary': 'Cost of manufacturing, storing, and distributing products was 60 million, resulting in a profit of $11 million for the united states.', 'duration': 25.797, 'max_score': 663.331, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA663331.jpg'}], 'start': 74.423, 'title': 'Excel pivot tables for data analytics', 'summary': 'Introduces the significance of pivot tables in data analytics, emphasizing its ease of use and common application for conveying information in excel, especially to non-technical stakeholders, using a bike store sales dataset in europe as an example. it also demonstrates the creation of a pivot table in excel to analyze bike sales data, showing revenue, profit, and cost per country and state, with the united states generating the highest revenue of $27 million and a profit of $11 million.', 'chapters': [{'end': 152.798, 'start': 74.423, 'title': 'Excel pivot tables for data analytics', 'summary': 'Introduces the significance of pivot tables in data analytics, emphasizing its ease of use and common application for conveying information in excel, especially to non-technical stakeholders, using a bike store sales dataset in europe as an example.', 'duration': 78.375, 'highlights': ['Pivot tables are pivotal in data analytics, commonly used to convey information in Excel, especially to non-technical stakeholders, and can be easily grouped to display information in an understandable way.', 'The speaker frequently uses pivot tables to present data to managers or higher-ups who prefer Excel over other technical tools like SQL, Python, or Tableau.', 'The tutorial uses a bike store sales dataset in Europe as an example for demonstrating the usage of pivot tables, which will be downloaded and opened for analysis.']}, {'end': 684.323, 'start': 152.978, 'title': 'Pivot table for bike sales analysis', 'summary': 'Demonstrates the creation of a pivot table in excel to analyze bike sales data, showing revenue, profit, and cost per country and state, with the united states generating the highest revenue of $27 million and a profit of $11 million.', 'duration': 531.345, 'highlights': ['The United States generated the highest revenue of $27 million in bike sales, followed by Australia and Canada. The revenue for the United States in bike sales was $27 million, followed by Australia and Canada, demonstrating the highest sales performance.', 'The United States achieved a profit of $11 million from bike sales, indicating a significant financial gain. The United States attained a profit of $11 million from bike sales, showcasing a notable financial success in the market.', 'The cost for the United States in bike sales amounted to $60 million, signifying the expenses incurred in manufacturing, storing, and distributing products. The cost for the United States in bike sales was $60 million, indicating the expenses associated with manufacturing, storing, and distributing products.']}], 'duration': 609.9, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA74423.jpg', 'highlights': ['The United States generated the highest revenue of $27 million in bike sales, followed by Australia and Canada.', 'The United States achieved a profit of $11 million from bike sales, indicating a significant financial gain.', 'The cost for the United States in bike sales amounted to $60 million, signifying the expenses incurred in manufacturing, storing, and distributing products.', 'Pivot tables are pivotal in data analytics, commonly used to convey information in Excel, especially to non-technical stakeholders, and can be easily grouped to display information in an understandable way.', 'The speaker frequently uses pivot tables to present data to managers or higher-ups who prefer Excel over other technical tools like SQL, Python, or Tableau.', 'The tutorial uses a bike store sales dataset in Europe as an example for demonstrating the usage of pivot tables, which will be downloaded and opened for analysis.']}, {'end': 1042.021, 'segs': [{'end': 716.062, 'src': 'embed', 'start': 686.607, 'weight': 0, 'content': [{'end': 689.128, 'text': 'Now you might look at this and you might say well, you know,', 'start': 686.607, 'duration': 2.521}, {'end': 694.331, 'text': 'I can kind of glance at it and say know that this profit is correct based off these two numbers.', 'start': 689.128, 'duration': 5.203}, {'end': 698.353, 'text': 'But we can do a calculated field.', 'start': 695.612, 'duration': 2.741}, {'end': 704.936, 'text': "If you remember what calculated fields are, that's something from Tableau, very, basically the exact same thing.", 'start': 698.913, 'duration': 6.023}, {'end': 707.718, 'text': 'And so we can create an additional column right here.', 'start': 705.497, 'duration': 2.221}, {'end': 713.661, 'text': 'that is a calculated field that can add and subtract these things to make sure that our numbers are adding up correctly.', 'start': 707.718, 'duration': 5.943}, {'end': 716.062, 'text': "So let's do that really quickly.", 'start': 714.622, 'duration': 1.44}], 'summary': 'Using a calculated field in tableau to ensure accurate profit calculation.', 'duration': 29.455, 'max_score': 686.607, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA686607.jpg'}, {'end': 745.606, 'src': 'heatmap', 'start': 716.803, 'weight': 0.858, 'content': [{'end': 718.843, 'text': "Let's go to Pivot Table Analyze.", 'start': 716.803, 'duration': 2.04}, {'end': 723.825, 'text': "We're gonna go over to Fields, Items, and Sets, and go to Calculated Field.", 'start': 719.524, 'duration': 4.301}, {'end': 735.229, 'text': "Now we can name this anything, and I'm just going to, for demo purposes, I'm gonna say, oops, Calculated Field Demo.", 'start': 724.505, 'duration': 10.724}, {'end': 737.47, 'text': "I'm sure yours will be different.", 'start': 735.949, 'duration': 1.521}, {'end': 741.863, 'text': 'If you want to, you can go in here and this is the formula.', 'start': 738.961, 'duration': 2.902}, {'end': 744.665, 'text': "It's almost like, you know, we haven't looked at formulas up.", 'start': 741.903, 'duration': 2.762}, {'end': 745.606, 'text': 'This is our first tutorial.', 'start': 744.686, 'duration': 0.92}], 'summary': 'Introduction to creating a calculated field in pivot table analyze with a demonstration of the process.', 'duration': 28.803, 'max_score': 716.803, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA716803.jpg'}, {'end': 815.986, 'src': 'embed', 'start': 785.193, 'weight': 1, 'content': [{'end': 789.354, 'text': 'And as you can see, it matches our sum of profit column exactly.', 'start': 785.193, 'duration': 4.161}, {'end': 791.175, 'text': "And that's exactly what we wanna see.", 'start': 789.935, 'duration': 1.24}, {'end': 798.038, 'text': 'We wanna kind of check to make sure that this revenue and cost fields are generating the correct profit.', 'start': 791.195, 'duration': 6.843}, {'end': 799.118, 'text': 'And sometimes those are off.', 'start': 798.058, 'duration': 1.06}, {'end': 802.22, 'text': "And so it's really good to kind of check those and have that additional column.", 'start': 799.519, 'duration': 2.701}, {'end': 807.282, 'text': "You probably wouldn't have this if you were gonna submit this to somebody.", 'start': 802.84, 'duration': 4.442}, {'end': 815.986, 'text': "Just so you know, now that this is an actual column, you can't go here and do something like cut and paste it over here.", 'start': 808.122, 'duration': 7.864}], 'summary': 'Matching profit column to revenue and cost fields is crucial for accuracy.', 'duration': 30.793, 'max_score': 785.193, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA785193.jpg'}, {'end': 934.036, 'src': 'embed', 'start': 908.686, 'weight': 3, 'content': [{'end': 918.703, 'text': 'at a really quick glance we can see that the men, or the males, are spending a little bit more than the females by about $700, 000..', 'start': 908.686, 'duration': 10.017}, {'end': 921.426, 'text': "Now let's go ahead and create one more pivot table.", 'start': 918.703, 'duration': 2.723}, {'end': 923.669, 'text': 'We are going to create a pivot table right over here.', 'start': 922.027, 'duration': 1.642}, {'end': 927.313, 'text': "Let's go back to the sales right here.", 'start': 923.689, 'duration': 3.624}, {'end': 930.316, 'text': 'Again, control shift right down.', 'start': 927.353, 'duration': 2.963}, {'end': 931.978, 'text': "It's going to select all of our data.", 'start': 930.336, 'duration': 1.642}, {'end': 934.036, 'text': "and we're gonna click OK.", 'start': 932.995, 'duration': 1.041}], 'summary': 'Males spend $700,000 more than females. creating another pivot table for sales data.', 'duration': 25.35, 'max_score': 908.686, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA908686.jpg'}, {'end': 943.42, 'src': 'heatmap', 'start': 908.686, 'weight': 1, 'content': [{'end': 918.703, 'text': 'at a really quick glance we can see that the men, or the males, are spending a little bit more than the females by about $700, 000..', 'start': 908.686, 'duration': 10.017}, {'end': 921.426, 'text': "Now let's go ahead and create one more pivot table.", 'start': 918.703, 'duration': 2.723}, {'end': 923.669, 'text': 'We are going to create a pivot table right over here.', 'start': 922.027, 'duration': 1.642}, {'end': 927.313, 'text': "Let's go back to the sales right here.", 'start': 923.689, 'duration': 3.624}, {'end': 930.316, 'text': 'Again, control shift right down.', 'start': 927.353, 'duration': 2.963}, {'end': 931.978, 'text': "It's going to select all of our data.", 'start': 930.336, 'duration': 1.642}, {'end': 934.036, 'text': "and we're gonna click OK.", 'start': 932.995, 'duration': 1.041}, {'end': 940.819, 'text': "So one thing that we're gonna look at is we're gonna use some of this date information right here.", 'start': 934.056, 'duration': 6.763}, {'end': 943.42, 'text': "So let's select our country just like we did before.", 'start': 941.199, 'duration': 2.221}], 'summary': 'Males spend $700,000 more than females; creating pivot table and analyzing sales data by country.', 'duration': 34.734, 'max_score': 908.686, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA908686.jpg'}, {'end': 991.788, 'src': 'embed', 'start': 961.66, 'weight': 4, 'content': [{'end': 967.902, 'text': 'And so now we have 2011 through 2016, and we want to look at our revenue.', 'start': 961.66, 'duration': 6.242}, {'end': 970.122, 'text': "Let's put our revenue right down here.", 'start': 968.622, 'duration': 1.5}, {'end': 972.843, 'text': 'And now we have all of our revenue knots.', 'start': 970.742, 'duration': 2.101}, {'end': 978.744, 'text': 'Again, make this into a currency, just like that.', 'start': 973.943, 'duration': 4.801}, {'end': 985.966, 'text': 'And super quickly, now we can get a really quick glance at how Australia was doing each year.', 'start': 979.963, 'duration': 6.003}, {'end': 991.788, 'text': 'And we can see that there was a huge uptick in 2013 and a huge uptick in 2015.', 'start': 986.606, 'duration': 5.182}], 'summary': 'Analyzing revenue from 2011-2016 reveals significant upticks in 2013 and 2015.', 'duration': 30.128, 'max_score': 961.66, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA961660.jpg'}, {'end': 1035.656, 'src': 'embed', 'start': 1011.959, 'weight': 5, 'content': [{'end': 1020.626, 'text': 'the biggest use of these pivot tables is that you can group these things together, show some information and data at a broad, larger scale.', 'start': 1011.959, 'duration': 8.667}, {'end': 1024.328, 'text': "and make it to where anybody who's looking at it can understand it.", 'start': 1021.346, 'duration': 2.982}, {'end': 1026.569, 'text': 'That is why pivot tables are so useful.', 'start': 1024.588, 'duration': 1.981}, {'end': 1028.451, 'text': 'And so I hope that this video was helpful.', 'start': 1026.93, 'duration': 1.521}, {'end': 1035.656, 'text': 'I hope that I was able to walk through it and help you better understand how pivot tables work and how you can use them when you are working within Excel.', 'start': 1028.511, 'duration': 7.145}], 'summary': 'Pivot tables group data for broader insights, aiding better understanding in excel.', 'duration': 23.697, 'max_score': 1011.959, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA1011959.jpg'}], 'start': 686.607, 'title': 'Pivot table usage', 'summary': 'Covers creating calculated fields in tableau pivot tables for accurate profit calculations and utilizing pivot tables in excel for data filtering, analysis, and visualization, including gender-based profit analysis and year-over-year revenue comparison.', 'chapters': [{'end': 832.517, 'start': 686.607, 'title': 'Creating calculated fields in pivot tables', 'summary': 'Discusses creating a calculated field in a pivot table using tableau, allowing for the addition and subtraction of revenue and cost to ensure accurate profit calculations, which can be validated through the creation of an additional column.', 'duration': 145.91, 'highlights': ['Creating a calculated field in a pivot table allows for the addition and subtraction of revenue and cost to ensure accurate profit calculations. Describing the process of creating a calculated field to validate profit calculations by adding and subtracting revenue and cost.', 'The calculated field matches the sum of profit column exactly, providing a way to check and validate the generated profit. Highlighting the significance of the calculated field in accurately matching the sum of profit column to validate profit generation.', 'The additional column serves as a check to ensure that revenue and cost fields are generating the correct profit. Emphasizing the role of the additional column as a validation check for the accuracy of profit generation from revenue and cost fields.']}, {'end': 1042.021, 'start': 832.577, 'title': 'Using pivot tables in excel', 'summary': 'Demonstrates how to use pivot tables in excel to filter, analyze, and visualize data, including examples of gender-based profit analysis and year-over-year revenue comparison, enabling quick and easy data interpretation and understanding.', 'duration': 209.444, 'highlights': ['The profit from males is 16.487 million and the profit from females is 15.733 million, indicating that males are spending a little bit more than females by about $700,000. The pivot table displays a clear comparison of profits between genders, showing that males spent approximately $700,000 more than females.', 'There was a huge uptick in revenue in Australia in 2013 and 2015, demonstrating the effectiveness of using pivot tables to analyze year-over-year performance. The pivot table effectively visualizes the significant increase in revenue for Australia in 2013 and 2015, showcasing the ability to analyze year-over-year performance.', 'Pivot tables enable grouping data to present information at a broader scale, making it easier for anyone to understand the data. The primary use of pivot tables is to group and present data at a larger scale, facilitating easy understanding for any viewer.']}], 'duration': 355.414, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/lH7HfwUFnYA/pics/lH7HfwUFnYA686607.jpg', 'highlights': ['Creating a calculated field in a pivot table ensures accurate profit calculations by adding and subtracting revenue and cost.', 'The calculated field accurately matches the sum of profit column, providing validation for profit generation.', 'The additional column serves as a validation check for the accuracy of profit generation from revenue and cost fields.', 'The pivot table displays a clear comparison of profits between genders, showing that males spent approximately $700,000 more than females.', 'The pivot table effectively visualizes the significant increase in revenue for Australia in 2013 and 2015, showcasing the ability to analyze year-over-year performance.', 'Pivot tables enable grouping data to present information at a broader scale, making it easier for anyone to understand the data.']}], 'highlights': ['The United States generated the highest revenue of $27 million in bike sales, followed by Australia and Canada.', 'The United States achieved a profit of $11 million from bike sales, indicating a significant financial gain.', 'The cost for the United States in bike sales amounted to $60 million, signifying the expenses incurred in manufacturing, storing, and distributing products.', 'Creating a calculated field in a pivot table ensures accurate profit calculations by adding and subtracting revenue and cost.', 'The pivot table displays a clear comparison of profits between genders, showing that males spent approximately $700,000 more than females.', 'The series will cover a wide range of topics, including pivot tables, charts, lookups, dealing with missing and dirty data, and other nuanced Excel functionalities, potentially spanning 15 to 20 videos.', 'Pivot tables enable grouping data to present information at a broader scale, making it easier for anyone to understand the data.', 'The speaker emphasizes the importance of learning to deal with missing and dirty data within Excel, as these are crucial skills for data analysts.', "The chapter acknowledges Udemy as the sponsor of the Excel tutorial series, highlighting the value of the courses in providing essential knowledge for the speaker's role as a data analyst."]}