https://github.com/sweta2501/netflix_dataanalysis

With the help of Netflix Data, I have done some Data Analysis.
https://github.com/sweta2501/netflix_dataanalysis

data-analysis data-science jupyter-notebook python

Last synced: 1 day ago
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With the help of Netflix Data, I have done some Data Analysis.

• Host: GitHub
• URL: https://github.com/sweta2501/netflix_dataanalysis
• Owner: Sweta2501
• Created: 2024-03-14T06:39:18.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-03-15T12:52:28.000Z (8 months ago)
• Last Synced: 2024-03-15T14:05:19.833Z (8 months ago)
• Topics: data-analysis, data-science, jupyter-notebook, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.42 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Netflix Dataset Analysis

## Data Exploration

- **head()**: Displays the first few rows of the dataset.

- **tail()**: Displays the last few rows of the dataset.

- **shape**: Returns the dimensions of the dataset (number of rows and columns).

- **size**: Returns the total number of elements in the dataset.

- **columns**: Returns the column names of the dataset.

- **dtypes**: Returns the data types of each column in the dataset.

- **info()**: Provides a concise summary of the DataFrame.

## Data Cleaning

- **isnull()**: Identifies missing values in the dataset.

- **dropna()**: Removes rows with missing values (by default).

## Data Transformation

- **to_datetime()**: Converts a string or numeric column to datetime format.

- **str.contains()**: Filters rows based on patterns within a string column.

- **str.split()**: Splits a string column into separate values based on a delimiter.

## Data Analysis

- **value_counts()**: Returns the number of times each unique value appears in a column.

- **groupby()**: Groups the dataset by one or more columns and allows for aggregate operations on each group.

- **countplot()**: Creates a count plot to visualize the number of times each unique value appears in a categorical column.

- **unique()**: Returns the unique values in a column.

- **nunique()**: Returns the number of unique values in a column.

- **max()**, **min()**, **mean()**: Return the maximum, minimum, and mean values of a numeric column.