Frequent Updates for Volatile Blockchain Data
Getting Ready for Big Data
Protecting Privacy
Telling Your Story
Challenging Yourself!
Chapter 19: Ten Uses for Blockchain Analytics
Accessing Public Financial Transaction Data
Connecting with the Internet of Things (IoT)
Ensuring Data and Document Authenticity
Controlling Secure Document Integrity
Tracking Supply Chain Items
Empowering Predictive Analytics
Analyzing Real-Time Data
Supercharging Business Strategy
Managing Data Sharing
Standardizing Collaboration Forms
8 Index
List of Tables
1 Chapter 2TABLE 2-1 Differences in Blockchain TypesTABLE 2-2 Business Requirements and Blockchain Features
2 Chapter 5TABLE 5-1 Blockchain Analytics ToolsTABLE 5-2 Ethereum Blockchain Access Libraries
3 Chapter 6TABLE 6-1 Forms of Data Stored in a BlockchainTABLE 6-2 Sources of External Data
4 Chapter 7TABLE 7-1 Loan Default Data
5 Chapter 13TABLE 13-1 Pros and Cons of Popular Blockchain Client Languages
6 Chapter 15TABLE 15-1 Comparing Data Analytics Frameworks
List of Illustrations
1 Chapter 1FIGURE 1-1: Customer entities presented as a table.FIGURE 1-2: Linear regression model using hours practiced and audition scores d...
2 Chapter 3FIGURE 3-1: Viewing block header information in Etherscan.FIGURE 3-2: Listing transactions in a block in Etherscan.FIGURE 3-3: Examining a transaction in Etherscan.FIGURE 3-4: Exploring additional transaction details in Etherscan.FIGURE 3-5: Ethereum block header.FIGURE 3-6: Contents of an Ethereum transaction.FIGURE 3-7: Original format of input data.FIGURE 3-8: Decoded data for the cancelOrder() function.FIGURE 3-9: Ethereum events in Etherscan.
3 Chapter 4FIGURE 4-1: The Go Ethereum (Geth) Download web page.FIGURE 4-2: Installation Options window.FIGURE 4-3: Geth light node startup command.FIGURE 4-4: Geth runtime messages.FIGURE 4-5: The Ganache Download web page.FIGURE 4-6: Support Ganache Analytics window.FIGURE 4-7: Ganache Accounts window.FIGURE 4-8: Ganache Settings window’s Server tab.FIGURE 4-9: Truffle installation requirements.FIGURE 4-10: Error message in PowerShell when NodeJS isn’t installed.FIGURE 4-11: The NodeJS Download page.FIGURE 4-12: The NodeJS version message.FIGURE 4-13: Installing Truffle.FIGURE 4-14: Initializing a new Truffle project.FIGURE 4-15: The Microsoft Visual Studio Code download web page.FIGURE 4-16: Visual Studio Code install options window.FIGURE 4-17: The Visual Studio Code IDE desktop.FIGURE 4-18: The Visual Studio Code IDE with the Solidity extension.
4 Chapter 5FIGURE 5-1: Python version command.FIGURE 5-2: The Python Download web page.FIGURE 5-3: Python Setup window.FIGURE 5-4: The Anaconda Distribution download web page.FIGURE 5-5: The Anaconda Navigator desktop.FIGURE 5-6: The conda install pip command.FIGURE 5-7: The pip install web3 command.FIGURE 5-8: Commands to create a new project directory.FIGURE 5-9: Visual Studio Code IDE with Python extension.FIGURE 5-10: The Remix web page.FIGURE 5-11: The Remix Solidity compiler page.FIGURE 5-12: Copying the SupplyChain.sol smart contract ABI in Remix.FIGURE 5-13: Copied ABI value in the SupplyChain.abi file.FIGURE 5-14: VS Code showSupplyChain.py.FIGURE 5-15: Connecting Remix to your Ganache blockchain.FIGURE 5-16: Copying a deployed contract's address.FIGURE 5-17: VS Code showSupplyChain.py (with contract address).FIGURE 5-18: VS Code after running showSupplyChain.py for the first time.FIGURE 5-19: Completed showSupplyChain.py Python script.
5 Chapter 7FIGURE 7-1: Clustered customer rating data.FIGURE 7-2: Clustered customer rating data with centroids and colors.FIGURE 7-3: Weak clustered customer rating data.FIGURE 7-4: Weak clustered customer rating data with centroids and colors.FIGURE 7-5: Loan default prediction decision tree.FIGURE 7-6: Normally distributed data with mean and 95 percent confidence inter...FIGURE 7-7: Normally distributed data with mean and 99 percent confidence inter...FIGURE 7-8: Airline passenger data.FIGURE 7-9: Airline passenger data with a trend line.
6 Chapter 9FIGURE 9-1: Scatterplot showing clustered data.FIGURE 9-2: The k-means clustering algorithm visualization.FIGURE 9-3: WSS plot showing the optimal number of clusters (four).FIGURE 9-4: Scatterplot matrix of blockchain transfer data.FIGURE 9-5: The k-means algorithm applied to blockchain supply chain ownership ...
7 Chapter 10FIGURE 10-1: Decision tree for the iris dataset.FIGURE 10-2: Bayes theorem calculation of conditional probability.FIGURE 10-3: TV product data.FIGURE 10-4: Decision tree based on supply chain blockchain data.FIGURE 10-5: Output from the decisionTreeBlockchain.py Python program.FIGURE 10-6: Gaussian (normal) distribution.
8 Chapter 11FIGURE 11-1: Data exhibiting a linear relationship.FIGURE 11-2: Data exhibiting a categorical relationship.FIGURE 11-3: Linear regression model visualization.FIGURE 11-4: Sigmoid function.FIGURE 11-5: Logistic regression model visualization.FIGURE 11-6: Logistic regression model visualization including the confusion ma...FIGURE 11-7: Linear regression model visualization based on supply chain blockc...FIGURE 11-8: Logistic regression model visualization based on supply chain bloc...
9 Chapter 12FIGURE 12-1: AXP closing stock prices.FIGURE 12-2: AXP stock price autocorrelation.FIGURE 12-3: AXP stock price differencing values of 1, 2, and 3.FIGURE 12-4: ARIMA Model build results.FIGURE 12-5: Initial Dow Jones dataframe after loading from file.FIGURE 12-6: Imported and converted Dow Jones data.FIGURE 12-7: Imported, converted, and filtered Dow Jones data.FIGURE 12-8: Dow Jones dataset raw data and moving average.FIGURE 12-9: Dow Jones dataset raw data, moving average, and ARIMA model.
10 Chapter 15FIGURE 15-1: The TensorFlow website.FIGURE 15-2: The Keras website.FIGURE 15-3: PyTorch website.FIGURE 15-4:
