How do I explore a pandas Series?

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When you start working with a new dataset, how should you go about exploring it? In this video, I'll demonstrate some of the basic tools in pandas for exploring both numeric and non-numeric data. I'll also show you how to create simple visualizations in a single line of code!

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Hi


Your videos on pandas with Q & A approach is unique and excellent. Just started watching them. Helping me in getting into the nuts and bolts of pandas.

kmnm
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I’m new to Python, and think the teaching here is excellent!

donaldcunningham
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Thank you. You saved me. I have a subject at my university, which is connected with data science. I was given a book where I had to find some information about how to do labs, but there were no information about how to use pandas in python. So I started to look for documentation in the internet, but it was difficult to understand it, because my level of English is not perfect. So, losing the hope, I found your channel. I was very impressed . I understand every your lesson. Thank you a lot.

maksymshylo
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Really great. Videos are short and using pritical data instead of simulating. Spent about half a day and now I am at lesson 15! Thanks fro this great tutorial!

junjiang
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Awesome....I have seen number of tutorial on different sites and on YouTube...But this video series tutorial on pandas is awesome...now after completing of this series of video I feel very comfortable to work on pandas... Thanks alot....

rockingtwinsvedansh-vedans
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Hat Tip ... making my way thru this whole series during a quarantine time of cv

TRNDSETR
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I very much congratulate you for sharing code used in video with us. Many thanks for that. It is very much useful to me. My warm regards to you.

s.baskaravishnu
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wow. never seen such a powerful one line command. great examples.

spicytuna
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I know I am years behind, but I find these tutorials very helpful. I have a question on Transposing a dataframe. When is the best time to do transpose? Is it before cleaning it up or before? The headers seem confused after the transpose and the index is gone, sorting and cleaning becomes a challenge

tawandamukarati
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The way you explain is very awesome thank you

khalidsultani
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Hi, I really liked your method of teaching. It is high on value addition and practicality. I am looking for a course on Python which can enable me to use the data analysis skill in HR field. Do you offer something on similar lines?

ligesh
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Thanks very much! I learnt a lot from this series of video. Is there one like this for matplotlib?? Look forward to it !

Alicengood
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One problem I always run into is aligning the x-ticks to the bins when plotting a histogram or a bar chart. Maybe you can do a video going through different histogram/bar charts and using different methods of aligning the x-ticks? There's a lot of information on this online but most of it fairly confusing and is always unique to the situation. Thanks!

millionaire
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when we use describe function in pandas and it gives saverals insight about the data. standard deviation is one of them. does it give one std deviation value or what? please explain.

rajbir_singh
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I did not know about that normalize=True funtion. COOL!

danielmonroy
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thank you for the videos they were so helpful

meryelbahhat
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Awesome tutorials.Can you please do a video on map function and pivot function

TheAnubhav
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Hi Kevin, wanted to know if any results produced using method will be a series? For instance the one using value_counts produces series.

jacksonthounaojam
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Nice video series! But I look through all of the series so far. There is no one relating to writing data into some common types of files like excel sheet, json, csv. Can you make a video about data storage after data processing?

tongyang
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Crosstab seems to generate a dataframe which resembles a pivot table in Excel. Correct?

vishesharora