Learn data analysis with Python : lessons in coding /: lessons in coding. ([2018])
- Record Type:
- Book
- Title:
- Learn data analysis with Python : lessons in coding /: lessons in coding. ([2018])
- Main Title:
- Learn data analysis with Python : lessons in coding
- Further Information:
- Note: A.J. Henley, Dave Wolf.
- Authors:
- Henley, A. J
Wolf, Dave - Contents:
- Intro; Table of Contents; About the Authors; About the Technical Reviewer; Chapter 1: How to Use This Book; Installing Jupyter Notebook; What Is Jupyter Notebook?; What Is Anaconda?; Getting Started; Getting the Datasets for the Workbookâ#x80;#x99;s Exercises; Chapter 2: Getting Data Into and Out of Python; Loading Data from CSV Files; Your Turn; Saving Data to CSV; Your Turn; Loading Data from Excel Files; Your Turn; Saving Data to Excel Files; Your Turn; Combining Data from Multiple Excel Files; Your Turn; Loading Data from SQL; Your Turn; Saving Data to SQL; Your Turn. Random Numbers and Creating Random DataYour Turn; Chapter 3: Preparing Data Is Half the Battle; Cleaning Data; Calculating and Removing Outliers; Your Turn; Missing Data in Pandas Dataframes; Your Turn; Filtering Inappropriate Values; Your Turn; Finding Duplicate Rows; Your Turn; Removing Punctuation from Column Contents; Removing Whitespace from Column Contents; Standardizing Dates; Standardizing Text like SSNs, Phone Numbers, and Zip Codes; Creating New Variables; Binning Data; Your Turn; Applying Functions to Groups, Bins, and Columns; Your Turn; Ranking Rows of Data; Your Turn. Create a Column Based on a ConditionalYour Turn; Making New Columns Using Functions; Your Turn; Converting String Categories to Numeric Variables; Your Turn; Organizing the Data; Removing and Adding Columns; Your Turn; Selecting Columns; Your Turn; Change Column Name; Your Turn; Setting Column NamesIntro; Table of Contents; About the Authors; About the Technical Reviewer; Chapter 1: How to Use This Book; Installing Jupyter Notebook; What Is Jupyter Notebook?; What Is Anaconda?; Getting Started; Getting the Datasets for the Workbookâ#x80;#x99;s Exercises; Chapter 2: Getting Data Into and Out of Python; Loading Data from CSV Files; Your Turn; Saving Data to CSV; Your Turn; Loading Data from Excel Files; Your Turn; Saving Data to Excel Files; Your Turn; Combining Data from Multiple Excel Files; Your Turn; Loading Data from SQL; Your Turn; Saving Data to SQL; Your Turn. Random Numbers and Creating Random DataYour Turn; Chapter 3: Preparing Data Is Half the Battle; Cleaning Data; Calculating and Removing Outliers; Your Turn; Missing Data in Pandas Dataframes; Your Turn; Filtering Inappropriate Values; Your Turn; Finding Duplicate Rows; Your Turn; Removing Punctuation from Column Contents; Removing Whitespace from Column Contents; Standardizing Dates; Standardizing Text like SSNs, Phone Numbers, and Zip Codes; Creating New Variables; Binning Data; Your Turn; Applying Functions to Groups, Bins, and Columns; Your Turn; Ranking Rows of Data; Your Turn. Create a Column Based on a ConditionalYour Turn; Making New Columns Using Functions; Your Turn; Converting String Categories to Numeric Variables; Your Turn; Organizing the Data; Removing and Adding Columns; Your Turn; Selecting Columns; Your Turn; Change Column Name; Your Turn; Setting Column Names to Lower Case; Your Turn; Finding Matching Rows; Your Turn; Filter Rows Based on Conditions; Your Turn; Selecting Rows Based on Conditions; Your Turn; Random Sampling Dataframe; Your Turn; Chapter 4: Finding the Meaning; Computing Aggregate Statistics; Your Turn. Computing Aggregate Statistics on Matching RowsYour Turn; Sorting Data; Your Turn; Correlation; Your Turn; Regression; Your Turn; Regression without Intercept; Your Turn; Basic Pivot Table; Your Turn; Chapter 5: Visualizing Data; Data Quality Report; Your Turn; Graph a Dataset: Line Plot; Your Turn; Graph a Dataset: Bar Plot; Your Turn; Graph a Dataset: Box Plot; Your Turn; Graph a Dataset: Histogram; Your Turn; Graph a Dataset: Pie Chart; Your Turn; Graph a Dataset: Scatter Plot; Your Turn; Chapter 6: Practice Problems; Analysis Exercise 1; Analysis Exercise 2; Analysis Exercise 3. Analysis Exercise 4Analysis Project; Required Deliverables; Index. … (more)
- Publisher Details:
- Place of publication not identified : Apress
- Publication Date:
- 2018
- Extent:
- 1 online resource, color illustrations
- Subjects:
- 005.13/3
Computer science
Python (Computer program language)
Programming languages (Electronic computers)
Data mining
COMPUTERS -- Programming Languages -- Python
Data mining
Programming languages (Electronic computers)
Python (Computer program language)
Computers -- Database Management -- Data Mining
Computers -- Database Management -- General
Business & Economics -- Industries -- Computer Industry
Data mining
Databases
Business mathematics & systems
Python (Computer program language)
Big data
Programming & scripting languages: general
Electronic books - Languages:
- English
- ISBNs:
- 9781484234860
1484234863 - Related ISBNs:
- 9781484234853
1484234855 - Notes:
- Note: Online resource; title from PDF title page (EBSCO, viewed February 28, 2018).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.338498
- Ingest File:
- 01_286.xml