Hi Derek, Could you help me out with the data you are using in the video above. Would it be possible for you to share the data, for my own practice. I am new to data analytics, still learning the rope. Thanks
I just uploaded it to my site. Soon I'll make a GitHub page where you can download everything all at once. Sorry I didn't do that ahead of time. I was kind of overwhelmed by the idea of making a new video every day.
Derek, can you make a video series about wxwidgets in C++? I love how you teach and basically there is no good videos covering wxwidgets in a depth way, at least in C++.
Hi Derek. I know this is from two years ago, but you mentioned in the video that is was a dirtory issue. Everything worked within my director up until printing the mean. This is the error...TypeError: mean() takes 1 positional argument but 17 were given. Can you help why is this? Thanks!
I am wondering why you hard code the setup of data_list to the length of 40? Wouldn't it be better to initialize it to the length of sales_data - 1? Or even better, just initialize it with data_list = [] and then add values with data_list.append().
@@derekbanas I ask this question because, at the end of the video, my feeling was that we spent most of the video reading the data, than gaining insight from the data. I like the fundamentalist approach you are taking with this series. I think it would serve the series well to dedicate an episode to wrap the csv reader in a class (since 3rd party libraries will be introduced later on), so that we can focus on just the data analysis/statistic parts.
I'll do my best with this series of videos. I'm focusing on an audience that is probably rather small. It is targeted at people who want to master all levels of data science and ML with a complete understanding of all the math involved. I feel that most tutorials are focused on the fun process of here is a cool module, here is some data, BANG! Look at this cool result. That's great and way more fun to watch but in trying to be different I'm going down a more boring path that I think some people will find more useful.
@@derekbanas I liked the video and the approach you are talking. I'm arguing for deliation between, reading the data (selecting/slicing) and analysing (categorical and numerical) data. Either way I'll continue to watch, I always enjoy your videos. Your videos have helped at every facet of my career, thanks you.
I'll upload a new video every day for at least the next 2 weeks. This is actually kind of a fun change of pace for me. I had some free time because of you know what, so I'm having fun making videos.
Yes I'm aware of Pandas. Here is the line of code : data = pd.read_csv('computersales.csv') I'm covering Statistics in this level of detail so that people completely internalize the formulas and understand how they operate.
Shout out to Derek. I have been watching your coding videos for 7 years.
Thank you so much for staying with my channel :) I greatly appreciate it!!!
Hi Derek,
Could you help me out with the data you are using in the video above. Would it be possible for you to share the data, for my own practice. I am new to data analytics, still learning the rope.
Thanks
Hey, you need to go to the previous video --> description and click the link --> Code for the Statistics Series :
Btw the data is in text. So you need to paste it on an excel file using special formatting separating columns using commas.
Where can i get the csv file?
this statistics series is getting more and more interesting. Thanks Derek
I'm very happy you like it. This is the series for people that ask for detailed tutorials
I have been here since the beginning, you helped me get my degree in computer science, I learned more from you than I did from my teachers.
Thank you for the nice compliment :) It makes me very happy to hear I helped so much
Hi Derek. These videos are so useful for both coding and statistics. Thanks!
Thank you very much 😁
Derek where can i get this data, can you give this sheet ot any other resources to get data from.
Sorry I forgot to include the data as a csv. I'll upload it to my website in the next few minutes
I just uploaded it to my site. Soon I'll make a GitHub page where you can download everything all at once. Sorry I didn't do that ahead of time. I was kind of overwhelmed by the idea of making a new video every day.
Derek, can you make a video series about wxwidgets in C++? I love how you teach and basically there is no good videos covering wxwidgets in a depth way, at least in C++.
Thank you :) I'll see what I can do
Hi Derek. I know this is from two years ago, but you mentioned in the video that is was a dirtory issue. Everything worked within my director up until printing the mean. This is the error...TypeError: mean() takes 1 positional argument but 17 were given. Can you help why is this? Thanks!
Excellent Derek. Thank you so much for sharing these videos
I'm not interested in Statistics but I comment cuz I like this channel
Thank you for taking the time to say hi :)
Thanks for the in depth tutorial, jw why python and numpy wasn’t used?
Thank you 😁 This was an experiment to teach Statistics and problem solving at the same time. Since I've also covered NumPy and Pandas
I am wondering why you hard code the setup of data_list to the length of 40? Wouldn't it be better to initialize it to the length of sales_data - 1? Or even better, just initialize it with data_list = [] and then add values with data_list.append().
Yes you are correct. I wrote this code out of my head and made a few optimization mistakes. Sorry about that
please make a video on feature extraction from image data
Coming soon
I love your Channel. Subbed many, many years ago.
Thank you very much for staying subscribed for so long :)
@@derekbanas Hehehee ... I didn't want to give my age away thus just that many years.
Do you plan on using bumpy and/or pandas at the very least for reading in files?
Yes I'll cover everything. After learning all the math data science and ML are easy because you'll understand what the algorithms are doing
@@derekbanas I ask this question because, at the end of the video, my feeling was that we spent most of the video reading the data, than gaining insight from the data. I like the fundamentalist approach you are taking with this series. I think it would serve the series well to dedicate an episode to wrap the csv reader in a class (since 3rd party libraries will be introduced later on), so that we can focus on just the data analysis/statistic parts.
I'll do my best with this series of videos. I'm focusing on an audience that is probably rather small. It is targeted at people who want to master all levels of data science and ML with a complete understanding of all the math involved. I feel that most tutorials are focused on the fun process of here is a cool module, here is some data, BANG! Look at this cool result. That's great and way more fun to watch but in trying to be different I'm going down a more boring path that I think some people will find more useful.
@@derekbanas I liked the video and the approach you are talking. I'm arguing for deliation between, reading the data (selecting/slicing) and analysing (categorical and numerical) data. Either way I'll continue to watch, I always enjoy your videos. Your videos have helped at every facet of my career, thanks you.
OMG!! Part 2 is here! SMASHING the LIKE Button!!!!
Thank you :) Expect a new video every day until I've covered everything
@@derekbanas Wow, you are amazing!!!
@@derekbanas U R D best Guru!!!
Hi Derek can you make video on Business Intelligence tool on qilkview
I'll see what I can do. I'm definitely planning to cover just about everything in regards to data analytics over the next few months
@@derekbanas Thank you
The median function is not correct
hi plz share the data
I love you bro 💕 thanks
You're my Hero!! SMASHING the LIKE Button!!!!
I got tired of typing over-and-over again Derek Bananas, so I subscribed.
Thank you for subscribing 😁
please keep it up..
I'll upload a new video every day for at least the next 2 weeks. This is actually kind of a fun change of pace for me. I had some free time because of you know what, so I'm having fun making videos.
pandas provides easier functionality to get statistics from a csv file.
Yes I'm aware of Pandas. Here is the line of code : data = pd.read_csv('computersales.csv')
I'm covering Statistics in this level of detail so that people completely internalize the formulas and understand how they operate.
@@derekbanas Thank you for the tutorials! They help a lot!
It is my pleasure to be of service 😁
yeeei 💕💕💕💕
I'm happy you like it :) Another will be up tomorrow
Lol, i just kearned about your channel and im the 10th to comment
learned
Thank you :) I'm not very popular because I cover rather complex topics.
Second
Thank you for being early :)
First
Thank you :)