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Python data analysis / data science tutorial. Let’s go!
For more videos like this, I’d recommend my course here:
Sample data and sample code:
My explanation about Jupyter Notebook and Anaconda:
Also, keep in touch on Twitter:
And Facebook:
Outline – check the comment section for a clickable version:
0:37: Why data visualization?
1:05: Why Python?
1:39: Why Matplotlib?
2:23: Installing Jupyter through Anaconda
3:20: Launching Jupyter
3:41: DEMO begins: create a folder and download data
4:27: Create a new Jupyter Notebook file
5:09: Importing libraries
6:04: Simple examples of how to use Matplotlib / Pyplot
7:21: Plotting multiple lines
8:46: Importing data from a CSV file
10:46: Plotting data you’ve imported
13:19: Using a third argument in the plot() function
13:42: A real analysis with a real data set – loading data
14:49: Isolating the data for the U.S. and China
16:29: Plotting US and China’s population growth
18:22: Comparing relative growths instead of the absolute amount
21:21: About how to get more videos like this – it’s at
source
Below is the outline of this video.
First, though, a few relevant links:
– Sample data and sample code: https://www.csdojo.io/data
– Introduction to Data Visualization with Python, the full course: https://www.csdojo.io/moredata
OUTLINE:
0:37: Why data visualization?
1:05: Why Python?
1:39: Why Matplotlib?
2:23: Installing Jupyter through Anaconda
3:20: Launching Jupyter
3:41: DEMO begins: create a folder and download data
4:27: Create a new Jupyter Notebook file
5:09: Importing libraries
6:04: Simple examples of how to use Matplotlib / Pyplot
7:21: Plotting multiple lines
8:46: Importing data from a CSV file
10:46: Plotting data you’ve imported
13:19: Using the third argument in the plot() function
13:42: A real analysis with a real data set – loading data
14:49: Isolating the data for the U.S. and China
16:29: Plotting US and China’s population growth
18:22: Comparing relative growths instead of the absolute amount
21:21: About how to get more videos like this – it’s at https://www.csdojo.io/moredata
[ATTENTION] Hash Analytic Internship Application in the field of Data Analytics is now open for students.
Applications are open at https://HashAnalytic.com/internship/
Hash Analytic Internship Program helps bridge the gap for aspiring Candidate who wants to dive into the world of Analytics and Equip them with the necessary skills needed to thrive in this competitive profession. This is a remote internship. This means you will do your assigned work, long-distance, and at your own convenience. You will be assign a mentor who will help guide you through out the Internship. Students and Professionals can take part in this internship alongside their University work or Professional work. The Internship Program will help the candidates learn tools such as python, Tableau, Google Analytics and implement Real world analytics project that can boost career opportunities to a higher level.
Note:
1. No prior knowledge in Data Analytics is needed to apply for the Internship Program.
2. Top selected Interns selected based on performance will be offer permanent roles.
Applications are open at https://HashAnalytic.com/internship/
[ATTENTION] Hash Analytic Internship Application in the field of Data Analytics is now open for students.
Applications are open at https://HashAnalytic.com/internship/
Hash Analytic Internship Program helps bridge the gap for aspiring Candidate who wants to dive into the world of Analytics and Equip them with the necessary skills needed to thrive in this competitive profession. This is a remote internship. This means you will do your assigned work, long-distance, and at your own convenience. You will be assign a mentor who will help guide you through out the Internship. Students and Professionals can take part in this internship alongside their University work or Professional work. The Internship Program will help the candidates learn tools such as python, Tableau, Google Analytics and implement Real world analytics project that can boost career opportunities to a higher level.
Note:
1. No prior knowledge in Data Analytics is needed to apply for the Internship Program.
2. Top selected Interns selected based on performance will be offer permanent roles.
Applications are open at https://HashAnalytic.com/internship/
They are in the same folder but nothing loads. I get file not found.
top
Can pd read another file except .csv?
Thank you, CS Dojo, this is SO clear and SO easy to follow!
Thank you so much CS Dojo! Learning jupyter is also a bonus for me didnt expect that >:)
Thankyou so much for the help.
Subscribe and like
this video is great…
Fantastic- !!!
Thank you so much! You've just saved me a lot of time and delivered me with a lot of knowledge. Your tutorial is so clear and nice to watch. One note: I'd use the terminology of "mask" when filtering by countries. Thank you so much again!
how come the other one come out with Y,Z BUT the other one only X instead of X,Z cos u add them later and it only results the Y and z but the X remains the same?? ohh u did it thanks now it is clear with legend u separate the lines but stile i don't see x and z line ?
https://blog.skillmonks.com/it-careers/top-5-tools-required-to-become-data-analyst-in-2020-skill-monks/
(ignore)
15:04
Thanks YK for sharing your time and knowledge! But what does this mean <function matplotlib.pyplot.show(*args, **kw)> ? My data doesn't look like yours… it isn't Linear. I tried to use my own data.
Most humble Youtuber i've seen
I have Data in which column name has "/" . When I try to read data using column name I am getting syntax error.
Data.columns
Index([ '/tmp', 'TimeStamp'], dtype='object')
>>> Data./tmp
File "<stdin>", line 1
Data./tmp
^
SyntaxError: invalid syntax
How can we read this data using Dataframe column?
Nice video.
I have an article about Python data visualization with Maptlotlib in Jupyter Notebook for Absolutely Beginner.
You can check this link
https://medium.com/@bahrulsg/data-visualization-with-matplotlib-for-absolute-beginner-part-i-655275855ec8
Thank you.
Very nice introduction. Thank you very much!
Explain heat maps from scratch pls
Why not just used excel? For instance, I could reproduce every graph on this video with excel…what more can I do with python? Is it because you can manipulate data outputs much more when using python and in a faster manner? I'm pretty knowledgeable with excel, and only really ran into problems when the data I used exceeded what excel supports (had to use powerpivot). How could I benefit from using python when confronted to large amounts of data or what benefits does python bring to data visualization compared to a program like Excel?
All hail CS Dojo
Thanks bro
wow i love your classes
when i download anaconda it's show .sh not .pkg what did i do wrong?
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Before starts you should have to close your mic toward your mouth 😉
It is really a good method. And I learn from it thanks brother and I wish you will keep giving us good videos.
Took an online course with Hong Kong Tech University, but had to come to this video to figure out what the heck was going on in the course!
good work, you may want to be louder
Hi there … great content … why don't you use PyCharm for the same project ?
Hi there … amazing video By the way … i installed pandas on my anaconda but while doing the import step, i’m getting: no module named pandas … any solution? …. thanks
How I can visualize data using django. I have visualize the pandas pivot table data and display to web pages using django, Please help
I appreciate you repeatedly explained every steps in video.
wonderful!
4 plt.xlabel('year')
5 plt.ylabel('population')
6 plt.show()
TypeError: 'str' object is not callable
Help !
I followed the tutorial and I was able to plot the x and y fine until I tried to put the title and and x/y label. It gave me error and said the title str is not callable
The files you gave automatically save as an excel spreadsheet while on a microsoft computer. It won't open the file at all. What can I do to fix the problem?
Great training
What I like is continue continue continue continue 😀
In the 9', how can I have the suggestion of function ( such as pd.read_csv, pd.read_clipboard)?
Thanks!
Hello dear CS Dojo, I just started exploring Python and will be trying Anaconda here. Just installed it. Please may you provide a suggested documentation of the necessary library with the syntax in graphing polynomials. And if you may provide a sample script for my appreciation, so much the better please. At what email address may I write you for further assistance and guidance? thank you CS Dojo. we appreciate what you do.
Its similar to matlab
very useful /very simple
Love the time stamp
3.Node Architecture https://youtu.be/kuzmv0uuE98
Good bless you man, you got me back to analysis. It’s a miracle for a bohemian artist like me.
Thanks YK Sugi. Just signed up Pluralsight and continue with other parts after watching your video 🙂
Thanks Dojo, I do really appreciate it, it was fun.