DataFrame: Difference between revisions

578 bytes removed ,  21 February 2023
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! colspan="1" rowspan="2" | Name
! colspan="1" rowspan="2" | Name
! colspan="3"| Classes
! colspan="4"| Classes
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! Math
! Math
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| Math | Science | English | History |
In this example, the column names correspond to subjects and students are in row format. The values in the table reflect each student's grades in each subject.
| Alice, Bob, Charlie (from left), Charlie's dad David are some of the people involved with making this show run! Bob: 95 | 95 '91' 85'88" 02/04/18?atorii Just come over if you need some inspiration on what to write next: 80,92,86 or90 in different proportions are good starts or better? I'll start at 80 percent accuracy now so we're in business :P'n!,95 = 90 degrees celsulis=91 degrees Fahrenheit // David (from above) will guide us throughout our exploration together!,Thank you all so much!,Alice onward
 
In this example, the column names correspond to subjects and students' names are in row format. The values in the table reflect each student's grades in each subject.


==Explain Like I'm 5 (ELI5)==
==Explain Like I'm 5 (ELI5)==
Imagine you have a large box full of toys, and you want to organize them, so it is easier to locate the toy you want to play with. A DataFrame box with distinct compartments is the ideal solution; it helps organize different types of toys in distinct compartments for quick retrieval.
Imagine you have a large box full of toys, and you want to organize them, so it is easier to locate the toy you want to play with. A DataFrame box with distinct compartments is the ideal solution; it helps organize different types of toys in distinct compartments for quick retrieval.