- 12
- 472
Kichere The Data Scientist
Tanzania
เข้าร่วมเมื่อ 5 ส.ค. 2023
Aspiring Data Scientist From Eastern Africa Statistical Training Centre.
0654729851
0654729851
pandas.crosstab
Download these ebooks to follow along
github.com/kicherethedatascientist/Pandas-General-Functions
www.springplay.co.tz/pivot-tables-with-python-pandas-full-course.html
Timestamps:
0:00 - Intro
1:42 - The index Parameter: Define the rows in your crosstab
4:47- The columns Parameter: Set columns to pivot your data
7:35 - The values Parameter: Specify which data to aggregate in the crosstab
10:02- The rownames Parameter: Assign custom row names in your crosstab
11:54 - The colnames Parameter: Set column names for clarity
13:31 - The aggfunc Parameter: Customize the aggregation function (e.g., sum, count, etc.)
16:00 - The margins Parameter: Add totals to both rows and columns
17:34 - The margins_name Parameter: Customize the name of the totals row/column
19:02 - The dropna Parameter: Control whether to include or exclude missing values
20:30 - The normalize Parameter: Normalize your crosstab to show percentages or proportions
github.com/kicherethedatascientist/Pandas-General-Functions
www.springplay.co.tz/pivot-tables-with-python-pandas-full-course.html
Timestamps:
0:00 - Intro
1:42 - The index Parameter: Define the rows in your crosstab
4:47- The columns Parameter: Set columns to pivot your data
7:35 - The values Parameter: Specify which data to aggregate in the crosstab
10:02- The rownames Parameter: Assign custom row names in your crosstab
11:54 - The colnames Parameter: Set column names for clarity
13:31 - The aggfunc Parameter: Customize the aggregation function (e.g., sum, count, etc.)
16:00 - The margins Parameter: Add totals to both rows and columns
17:34 - The margins_name Parameter: Customize the name of the totals row/column
19:02 - The dropna Parameter: Control whether to include or exclude missing values
20:30 - The normalize Parameter: Normalize your crosstab to show percentages or proportions
มุมมอง: 21
วีดีโอ
pandas.melt()
มุมมอง 6614 ชั่วโมงที่ผ่านมา
Download these ebooks to follow along github.com/kicherethedatascientist/Pandas-General-Functions www.springplay.co.tz/pivot-tables-with-python-pandas-full-course.html 0:00 Intro 01:03 frame and id_vars 10:30 value_vars 17:30 var_name 19:45 value_name 21:45 col_level 25:40 ignore_index
Introduction
มุมมอง 3116 ชั่วโมงที่ผ่านมา
Download these ebooks to follow along github.com/kicherethedatascientist/Pandas-General-Functions www.springplay.co.tz/pivot-tables-with-python-pandas-full-course.html
pandas.pivot_table()
มุมมอง 10116 ชั่วโมงที่ผ่านมา
pandas.pivot_table() Download these ebooks to follow along github.com/kicherethedatascientist/Pandas-General-Functions www.springplay.co.tz/pivot-tables-with-python-pandas-full-course.html
pandas.pivot()
มุมมอง 4716 ชั่วโมงที่ผ่านมา
Download these ebooks to follow along github.com/kicherethedatascientist/Pandas-General-Functions www.springplay.co.tz/pivot-tables-with-python-pandas-full-course.html 0:00 Intro 0:57 The "data" parameter
Pivot Tables With Python pandas Full course
มุมมอง 23วันที่ผ่านมา
www.springplay.co.tz/pivot-tables-with-python-pandas-full-course.html Click the link to watch full course on "Pivot Tables With Python pandas Full course" www.springplay.co.tz/pivot-tables-with-python-pandas-full-course.html
Proudly Seventh-Day Adventist and Data Scientist (offertory reading)
มุมมอง 662 หลายเดือนก่อน
Offertory Reading with (Kichere Magubu and Remius Julius) at Chuo Kikuu SDA church Dar es salaam Tanzania
SQL SELECT Statement
มุมมอง 238 หลายเดือนก่อน
SQL SELECT Statement copy script to follow along: CREATE TABLE customers1 ( Id INT, name VARCHAR(50), city VARCHAR(50), country VARCHAR(50), postalcode INT ); Insert data into the table INSERT INTO customers1 (Id, name, city, country, postalcode) VALUES (1, 'Maria', 'Paris', 'France', 44000), (2, 'Victoria', 'Lisboa', 'Portugal', 1756), (3, 'Simon', 'Nantes', 'France', 44000), (4, 'Marry', 'Nan...
The SQL AND Operator
มุมมอง 158 หลายเดือนก่อน
The SQL AND Operator copy the script below to follow along Create the table CREATE TABLE customers3 ( Id INT, name VARCHAR(50), city VARCHAR(50), country VARCHAR(50), postalcode INT ); Insert data into the table INSERT INTO customers3 (Id, name, city, country, postalcode) VALUES (1, 'Maria', 'Paris', 'France', 44000), (2, 'Victoria', 'Lisboa', 'Portugal', 1756), (3, 'Simon', 'Nantes', 'France',...
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