William S. Cleveland created the notion of a continuous variable in his book Elements of Graphing Data. The Cleveland dot plot is useful when using multiple variables, as it does not require the ...

A line chart visually represents an asset's price history using a single line. Line charts usually only plot the closing prices. They reduce noise from less critical times in the trading day such ...

When working with production data science code it can be handy to have plotting tool that does not rely on graphics dependencies or works only in a Jupyter notebook. The use case that this ... can ...

The chief data reporter for the Financial Times discusses how he considers the use of text, color, and annotation to aid ...

What is now a technology-enabled transportation specialist, FlixBus is using the Snowflake platform to optimize routes and ...

Abstract: Accurate anomaly detection in dynamic graph networks suffers due to lack of coverage of all aspects of information; specifically temporal, spatial and centrality based cross-coupled ...

We employ a graph neural network (GNN)-driven transformer algorithm, called GNN-Transformer, to classify every active event pixel in the raw stream into real log-intensity variation or noise. Within ...

CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python. CuPy acts as a drop-in replacement to run existing NumPy/SciPy code on NVIDIA CUDA or AMD ROCm platforms. CUDA ...