Following acquisition of raw data, data wrangling is the most essential step to transform raw data into more functional form for data analysis, model building and data visualization. If involves preprocessing, restructuring and cleaning operations and the end product is a dataset in a readily accessible format, ready to be analyzed and visualized.
The **aim of this article **is to present some key operations for performing these tasks in pandas, a python based tool for data manipulation. The idea here is to not be extensive in describing all available pandas operations but instead to give beginner and intermediate level users a handy guide to essential features.
The** contents of this article** have been divided into following directories.
A. INTRODUCTION TO DATAFRAMES
- Creating a DataFrame
- Retrieving data from a DataFrame
- Summarizing dataFollowing acquisition of raw data, data wrangling is the most essential step to transform raw data into more functional form for data analysis, model building and data visualization. If involves preprocessing, restructuring and cleaning operations and the end product is a dataset in a readily accessible format, ready to be analyzed and visualized.
The **aim of this article **is to present some key operations for performing these tasks in pandas, a python based tool for data manipulation. The idea here is to not be extensive in describing all available pandas operations but instead to give beginner and intermediate level users a handy guide to essential features.
The** contents of this article** have been divided into following directories.
A. INTRODUCTION TO DATAFRAMES
- Creating a DataFrame
- Retrieving data from a DataFrame
- Summarizing dataFollowing acquisition of raw data, data wrangling is the most essential step to transform raw data into more functional form for data analysis, model building and data visualization. If involves preprocessing, restructuring and cleaning operations and the end product is a dataset in a readily accessible format, ready to be analyzed and visualized.
The **aim of this article **is to present some key operations for performing these tasks in pandas, a python based tool for data manipulation. The idea here is to not be extensive in describing all available pandas operations but instead to give beginner and intermediate level users a handy guide to essential features.
The** contents of this article** have been divided into following directories.
A. INTRODUCTION TO DATAFRAMES
- Creating a DataFrame
- Retrieving data from a DataFrame
- Summarizing dataFollowing acquisition of raw data, data wrangling is the most essential step to transform raw data into more functional form for data analysis, model building and data visualization. If involves preprocessing, restructuring and cleaning operations and the end product is a dataset in a readily accessible format, ready to be analyzed and visualized.
The **aim of this article **is to present some key operations for performing these tasks in pandas, a python based tool for data manipulation. The idea here is to not be extensive in describing all available pandas operations but instead to give beginner and intermediate level users a handy guide to essential features.
The** contents of this article** have been divided into following directories.
A. INTRODUCTION TO DATAFRAMES
- Creating a DataFrame
- Retrieving data from a DataFrame
- Summarizing dataFollowing acquisition of raw data, data wrangling is the most essential step to transform raw data into more functional form for data analysis, model building and data visualization. If involves preprocessing, restructuring and cleaning operations and the end product is a dataset in a readily accessible format, ready to be analyzed and visualized.
The **aim of this article **is to present some key operations for performing these tasks in pandas, a python based tool for data manipulation. The idea here is to not be extensive in describing all available pandas operations but instead to give beginner and intermediate level users a handy guide to essential features.
The** contents of this article** have been divided into following directories.
A. INTRODUCTION TO DATAFRAMES
- Creating a DataFrame
- Retrieving data from a DataFrame
- Summarizing dataFollowing acquisition of raw data, data wrangling is the most essential step to transform raw data into more functional form for data analysis, model building and data visualization. If involves preprocessing, restructuring and cleaning operations and the end product is a dataset in a readily accessible format, ready to be analyzed and visualized.
The **aim of this article **is to present some key operations for performing these tasks in pandas, a python based tool for data manipulation. The idea here is to not be extensive in describing all available pandas operations but instead to give beginner and intermediate level users a handy guide to essential features.
The** contents of this article** have been divided into following directories.
A. INTRODUCTION TO DATAFRAMES
- Creating a DataFrame
- Retrieving data from a DataFrame
- Summarizing data
#pandas #python #data-wrangling #data-analysis #cheatsheet
