I stumbled on this video and it was amazing to see how one can summarize the use cases of graphs in just around 5 minutes....you are truly a genius. The convincing value of this video is wonderful!!
Hey mate cheers for the content. I'm going to show my students this video. I edited the auto generated transcript to be more correct. Here it is if you want to slot it in this video. Intro So, these are the world's five most popular charts. And in this video, I’ll show you why these are the only charts you'll never need (except for one) and how you can start using them. Bar Chart In first place, the world's most popular chart is the bar chart. There are a few versions of them so let's go through the main types. Vertical Bar / Column Chart - Category Comparison Vertical bar charts are the best for category comparison. So, if you're comparing countries or teams. And in this example, we're looking at different apps and how many downloads there were in 2020. With bar charts we can quickly and easily compare the differences in data. With the story on this one being that despite what most people think, tick tock, not zoom, was the most downloaded app of 2020. But vertical bar charts lose that quick comparability when there's lots of different categories so try and only use them if there's less than seven categories. However, if you absolutely must have between seven and fifteen different data points, flip your vertical bar chart on its side and you have a horizontal bar chart. Horizontal Bar Chart - Ranking Really though these are best when you want to communicate ranking. So, things like election results. Like this chart about the London mayoral elections that shows the candidates ranked by votes. They're also great for showing things like performance stats like sales performance or this example here which shows Oscar nomination performance. Stacked Bar Chart - Part-To-Whole You should use stacked bar charts if you want to show part to whole. So, how much different elements contribute to that overall total. For example, we already showed this chart where the main message was that tick tock, not zoom, was the most downloaded app of the year. But if you were then to use a stacked bar chart and break out the downloads for the US, you still get the overall picture. But you also see that in the US, the difference between the two is actually a lot smaller. Which is probably why people thought that zoom was more popular. A warning though for stacked bar charts; keep them simple. As soon as the stacked bar chart becomes far too complicated, like this one, comparing the different components becomes almost impossible and they become more or less useless. So that's bar charts. Histogram - Distribution Now for the second most popular chart in the world which is the histogram which is basically a bar chart. But if a bar chart breaks down data by different categories, histograms should show the distribution over a continuous variable. So, things like time, age, weight. These charts are great to understand things like this one. Showing the income distribution in the US. And probably most famously population distribution. Like this one showing data for the US where age is on the y-axis and population on the x-axis. It's split by male and female. And histograms are generally less about the individual data points and more about the broader pattern that it shows. So, if we quickly change this and look at data from Nigeria, you can immediately see from the pattern that Nigeria has a much younger population. Pie Chart And taking bronze, the world's third most popular chart, is the pie chart. Okay let's talk about pie charts. Pie charts are hated by data visualization experts the world over. Mainly because they're really bad at showing multiple data points like this one. Fail. But also, our brains aren't really very good at comparing things like areas and angles. And here's a challenge for you. So, look at this chart here and quickly work out which was the third most downloaded app. Three. Two. One. Time's up. Okay now look at this one which is showing exactly the same data and tell me now which is the third most downloaded app. Three. Two. One. Bar charts are just much better than pie charts for communicating data. But if you absolutely must use one, follow these tips. Firstly, never use more than five data points. Then rank the values in order where the biggest segment begins in the top right-hand corner. Then make sure you put all labels next to the segments, which means you can also remove the key. And then use colors to help you communicate what you want to point out. Scatter Chart - Correlation In fourth place we have scatter plots. Now, if you're looking to show correlation or how two things relate to each other, then scatter plots are your best mate. They can be used to either show that there is a correlation or that there isn't a correlation to show clustering trends or to spot outliers. They're probably one of the most persuasive charts to use if you want to convince somebody of something. Line Chart - Change Over Time The world's fifth most popular chart is the line chart. So, if you want to show how something changes over time, then go for the line chart. It's great for showing things like stock market Price, visitors to your website. Or if you want to go really meta, this is a line chart showing the search volumes of the term line chart since 2004. So, we can quickly see that its popularity has increased while also dipping every December and every July.
Becoming a Data Visualization Master So, these are the world's five most popular charts. It’s not so there aren't other charts that you can use. But unless you're a data vis master, stick with these and spend that extra time focusing on how to communicate these charts better. The best way to do this is to use the data to ink ratio which you can learn in less than five minutes by clicking on the link on your screen. The data to ink ratio is one of the simplest and most effective things to keep in mind when you want to create more persuasive charts graphs and data visualization. So, click on the link on your screen to find out how you can start using it right now.
Thank you for this video. I wasn't sure which to use between bar chart and pie chart. Although I just have 4 data points, your illustration made it very clear that bar chart is the way to go.
Thanks a lot sir. Very very clearly explained. If you get a chance please share same video but without one graph towards the end 🤣 - it may be difficult to share it with some colleagues whom I would also like to understand this concept. But thanks all the same!! Much appreciated
I'm about to start learning Power BI. I looked through a few well designed dashboards and didn't quite understand what the charts were or even how to use them in any context. This video was helpful
Glad to hear that Lilian and thanks for the comment! I’ve created a couple of other data viz videos that may help you on your Power BI journey (I’ll link one below), so have a look and let me know what you think! Good luck! How to Make Better Graphs - The Data Ink Ratio ruclips.net/video/H5awS-QBPHk/видео.html
Very true! And yes, you’re completely right. Tried to keep the video short and digestible but you’re right, many more suggestions and applications. Thanks!
Firstly, thank you! This is really well presented, packed with great information, all for free! Instant subscription. Secondly, do you have any other platforms that I can subscribe to?
Thanks so much Emily. Glad you liked it. And no, I don’t… still doing this as a bit of fun and part of my own learning experience. But you’re not the first to ask, so will explore the idea of it!
I'm doing a salmon feed trial between two different feeds looking at growth (weight) and lipid composition, having trouble choosing a suitable graph for this
If in doubt try a few and think about the story you’re trying to tell. So, if it looks like the bigger the fish the more/less the lipid composition, line graph would probably be best.
Thanks! The godfather of this topic is Edward Tufte. He has loads of great books… not the easiest of reads, but he’s definitely the leader on this topic.
![How to Pick the RIGHT Charts For Your Data [TYPES OF GRAPHS AND CHARTS]](/img/1.gif)
Let me know if you have any questions! I reply to all comments… as you see below! 😉
What about area charts?
I stumbled on this video and it was amazing to see how one can summarize the use cases of graphs in just around 5 minutes....you are truly a genius. The convincing value of this video is wonderful!!
U gotta stop sitting down as a means to make your content more interesting. It's a fail!
I’m looking to visualize survey data at my church and this was INCREDIBLY helpful. Thank you!
Thanks Matt! Glad it was helpful!
"these are the only charts you'll ever need (except for one...)"
Except for what??? Please finish that thought, please
Dude this is crazy amaaaazing. I have leant and understood more about these graphs in less that 5 min that all of my life. Thank bro.
I like it, straight to the point. Subscribed.
Hey mate cheers for the content. I'm going to show my students this video. I edited the auto generated transcript to be more correct. Here it is if you want to slot it in this video.
Intro
So, these are the world's five most popular charts. And in this video, I’ll show you why these are the only charts you'll never need (except for one) and how you can start using them.
Bar Chart
In first place, the world's most popular chart is the bar chart. There are a few versions of them so let's go through the main types.
Vertical Bar / Column Chart - Category Comparison
Vertical bar charts are the best for category comparison. So, if you're comparing countries or teams. And in this example, we're looking at different apps and how many downloads there were in 2020. With bar charts we can quickly and easily compare the differences in data. With the story on this one being that despite what most people think, tick tock, not zoom, was the most downloaded app of 2020. But vertical bar charts lose that quick comparability when there's lots of different categories so try and only use them if there's less than seven categories. However, if you absolutely must have between seven and fifteen different data points, flip your vertical bar chart on its side and you have a horizontal bar chart.
Horizontal Bar Chart - Ranking
Really though these are best when you want to communicate ranking. So, things like election results. Like this chart about the London mayoral elections that shows the candidates ranked by votes. They're also great for showing things like performance stats like sales performance or this example here which shows Oscar nomination performance.
Stacked Bar Chart - Part-To-Whole
You should use stacked bar charts if you want to show part to whole. So, how much different elements contribute to that overall total. For example, we already showed this chart where the main message was that tick tock, not zoom, was the most downloaded app of the year. But if you were then to use a stacked bar chart and break out the downloads for the US, you still get the overall picture. But you also see that in the US, the difference between the two is actually a lot smaller. Which is probably why people thought that zoom was more popular. A warning though for stacked bar charts; keep them simple. As soon as the stacked bar chart becomes far too complicated, like this one, comparing the different components becomes almost impossible and they become more or less useless. So that's bar charts.
Histogram - Distribution
Now for the second most popular chart in the world which is the histogram which is basically a bar chart. But if a bar chart breaks down data by different categories, histograms should show the distribution over a continuous variable. So, things like time, age, weight. These charts are great to
understand things like this one. Showing the income distribution in the US. And probably most famously population distribution. Like this one showing data for the US where age is on the y-axis and population on the x-axis. It's split by male and female. And histograms are generally less about the individual data points and more about the broader pattern that it shows. So, if we quickly change this and look at data from Nigeria, you can immediately see from the pattern that Nigeria has a much younger population.
Pie Chart
And taking bronze, the world's third most popular chart, is the pie chart. Okay let's talk about pie charts. Pie charts are hated by data visualization experts the world over. Mainly because they're really bad at showing multiple data points like this one. Fail. But also, our brains aren't really very good at comparing things like areas and angles. And here's a challenge for you. So, look at this chart here and quickly work out which was the third most downloaded app. Three. Two. One. Time's up. Okay now look at this one which is showing exactly the same data and tell me now which is the third most downloaded app. Three. Two. One. Bar charts are just much better than pie charts for communicating data. But if you absolutely must use one, follow these tips. Firstly, never use more than five data points. Then rank the values in order where the biggest segment begins in the top right-hand corner. Then make sure you put all labels next to the segments, which means you can also remove the key. And then use colors to help you communicate what you want to point out.
Scatter Chart - Correlation
In fourth place we have scatter plots. Now, if you're looking to show correlation or how two things relate to each other, then scatter plots are your best mate. They can be used to either show that there is a correlation or that there isn't a correlation to show clustering trends or to spot outliers. They're probably one of the most persuasive charts to use if you want to convince somebody of something.
Line Chart - Change Over Time
The world's fifth most popular chart is the line chart. So, if you want to show how something changes over time, then go for the line chart. It's great for showing things like stock market Price, visitors to your website. Or if you want to go really meta, this is a line chart showing the search volumes of the term line chart since 2004. So, we can quickly see that its popularity has increased while also dipping every December and every July.
Becoming a Data Visualization Master
So, these are the world's five most popular charts. It’s not so there aren't other charts that you can use. But unless you're a data vis master, stick with these and spend that extra time focusing on how to communicate these charts better. The best way to do this is to use the data to ink ratio which you can learn in less than five minutes by clicking on the link on your screen. The data to ink ratio is one of the simplest and most effective things to keep in mind when you want to create more persuasive charts graphs and data visualization. So, click on the link on your screen to find out how you can start using it right now.
Hi ! THanks for your video. I would like to get in touch with you, how can i chat with you? Can I find you on LinkedIn for instance?
How can I help you?
Thank you for this video. I wasn't sure which to use between bar chart and pie chart. Although I just have 4 data points, your illustration made it very clear that bar chart is the way to go.
Thanks a lot sir. Very very clearly explained. If you get a chance please share same video but without one graph towards the end 🤣 - it may be difficult to share it with some colleagues whom I would also like to understand this concept. But thanks all the same!! Much appreciated
Simbarashe, suggestion heard! Try it now and see if that's better. 😉
I'm about to start learning Power BI. I looked through a few well designed dashboards and didn't quite understand what the charts were or even how to use them in any context. This video was helpful
Glad to hear that Lilian and thanks for the comment! I’ve created a couple of other data viz videos that may help you on your Power BI journey (I’ll link one below), so have a look and let me know what you think! Good luck!
How to Make Better Graphs - The Data Ink Ratio
ruclips.net/video/H5awS-QBPHk/видео.html
hi
Never use a pie chart, when categories do not sum up to a whole (as it is the case here, as there are more apps around than the mentioned)
Very true! And yes, you’re completely right. Tried to keep the video short and digestible but you’re right, many more suggestions and applications. Thanks!
Thanks a lot sir! I didn't copied our math lessons, now I have an idea! I really appreciate this work!
You are most welcome
When to choose a donut chart over a pie chart?
thank you now im gonna pass my science test
Good luck!
Firstly, thank you! This is really well presented, packed with great information, all for free! Instant subscription. Secondly, do you have any other platforms that I can subscribe to?
Thanks so much Emily. Glad you liked it. And no, I don’t… still doing this as a bit of fun and part of my own learning experience. But you’re not the first to ask, so will explore the idea of it!
Ahem... I enjoyed the second scatter chart correlation subject example... Very, um... persuasive.
🤣 That’s a bit of a controversial one!
1:02
see there the one in 5th place
legends know who's that
lol seriously what a good video that is
🤣 so true! NDL all the way! It was one of the reasons I included it to be honest! Great spot!
Thank U. Its VERY useful. I like it!
Glad to hear that! Thanks for letting me know!
Beautiful histogram plot at 2:32
Could you please explain how to create such a plot.😅 I am a newbie.
That's very much for this video
So clear for someone just getting started! I subscribed too.
I'm doing a salmon feed trial between two different feeds looking at growth (weight) and lipid composition, having trouble choosing a suitable graph for this
If in doubt try a few and think about the story you’re trying to tell. So, if it looks like the bigger the fish the more/less the lipid composition, line graph would probably be best.
@@undatable5838 thanks heaps, super helpful ☺️
I'm glad I watched this before I showed it to my students.
Hope you enjoyed it nonetheless Allan
Alan, feedback heard, and you should now find an updated 'scatter' section that you can now use with your students.
thanks u so much
Great explanation
Thanks! ☺️
You look like Superhands, in a good way ; )
🤣🤣🤣 Just had to open Google and find out what he looks like!
I still watch Peep Show & find episodes I haven’t seen. Right, Im off to make a pie chart with 39 categories of data…
What data viz tool are you using in the video ?
Very nice video! could you recommend me some books about this topic?
Thanks! The godfather of this topic is Edward Tufte. He has loads of great books… not the easiest of reads, but he’s definitely the leader on this topic.
@@undatable5838 Thank you so much for sharing this valuable information about Edward Tufte. I appreciate your generosity, cheers!
Hello I am a huge fan of your videos. Do you have an email that I can send a question to you. I can´t seem to find it here.
Thank you!!! ☺️ I’m not actually giving my email out publicly, but feel free to ask me a question here and I’ll do my best to reply.
Best video ever, thank you SO much!
to see max fosh in the list - just make my day.
🤣 I think if he ran nowadays he’d be WAY higher up!
This is gold, thank you.
thanks. this helped !
For using Nigeria, you have got yourself a new subscriber 🥰😍
I’ll have to use Nigeria again in future videos then!
Good explanation 🎉
Glad you liked it
That was great man.. thanks
Need more videos on chart topic
Thanks Lily! What kind of things would you like to know more about?
Hello , hope u doing well
It would be better if u could help us with some practical demo on datasets and need more information about other charts too.
Great work. Thanks
Glad you liked it!
Thank you sir
You’re very welcome!
hi
Hi! 👋🏻
nice
so niceeee
Thanks!
Wow. Thankyou 🎉
You’re welcome 😊
Nice!
Thanks!