Oracle Visualization：Unlock Your Data Potential（oracle可视化）

Oracle Visualization, an advanced analytics platform from Oracle, is set to revolutionize the way businesses analyze and view their data. It provides an intuitive, visual data exploration and analysis experience for users with any level of data competency. Its advanced features make it a powerful tool that can unlock the potential of large datasets.

Oracle Visualization is a self-contained platform built on ultra-fast Oracle Database and Cloud technologies that allows users to simultaneously analyze massive datasets across multiple platforms. It uses artificial intelligence and machine learning to detect patterns and uncover insights from large datasets quickly and efficiently. It also makes complex calculations easy by providing interactive visualizations, advanced data mining and predictive analytics. This makes it easier for users to discover strategies and patterns within their data that may have otherwise been overlooked.

Oracle Visualization is easy to install and use, as it comes pre-loaded with an array of user-friendly tools. The platform comes with an integrated suite of tools for data visualization, analytics, and predictive modeling, allowing users to make more informed decisions. Oracle Visualization also provides flexible access to data from a variety of sources, enabling users to extract intelligence from disparate data sources.

Additionally, Oracle Visualization is designed to make data science easier and more accessible. It can help data scientists and professionals explore, process and visualize large datasets quickly, without having to learn complex coding languages or data management techniques. Oracle Visualization supports Python, SQL, and other popular programming languages.

Moreover, Oracle Visualization makes data easier to talk about. It eliminates the need to explain complicated data sets in long presentations, by providing an easy to understand graphical view of relationships between different data elements. With Oracle Visualization, businesses can also present data in visually compelling ways to help them better tell their stories.

To make the most of Oracle Visualization, businesses need to start by understanding the data they have and its potential. Then, they can use Oracle Visualization to perform the necessary data analysis, exploration and predictive modeling. Finally, they can unlock the potential of the data by leveraging the many powerful features provided by Oracle Visualization.

//Sample Code

show_insights(df_transactions):

transactions_categorical = pd.get_dummies(df_transactions.drop(columns=[‘transaction_id’]))

correlations = transactions_categorical.corr()

features = sorted_features_by_corr(correlations)

plt.figure(figsize=(16,9))

sns.heatmap(correlations[features], annot=True, yticklabels=features, cmap=’summer’)

plt.show()

show_predictions(model, x_test):

predictions = model.predict(x_test)

plt.figure(figsize=(16,9))

plt.title(‘Model Predictions’)

plt.xlabel(‘Prediction’)

plt.ylabel(‘Actual Value’)

plt.scatter(predictions, y_test)

plt.show()