DocsTools
Tools Reference
CyxWiz Engine includes a comprehensive suite of 70+ data science and analysis tools, accessible via the Tools menu or the Command Palette (Ctrl+P).
Tool Categories
| Category | Tools | Description |
|---|---|---|
| Data Science | 4 | Data exploration and quality |
| Statistics | 4 | Statistical analysis |
| Clustering | 5 | Unsupervised learning |
| Model Evaluation | 5 | Performance metrics |
| Transformations | 5 | Data preprocessing |
| Linear Algebra | 5 | Matrix operations |
| Signal Processing | 5 | Frequency analysis |
| Time Series | 5 | Temporal analysis |
| Text Processing | 5 | NLP tools |
| Visualization | 8 | Plotting and charts |
| Utilities | 6 | Calculator, converters, generators |
Quick Access
Command Palette (Recommended)
Press Ctrl+P and type the tool name:
> correlation -> Correlation Matrix > kmeans -> K-Means Clustering > fft -> FFT Analysis
Data Science Tools
Data Profiler
Comprehensive overview: Data types, missing values, distributions, correlations, outliers
Correlation Matrix
Feature relationships: Pearson/Spearman/Kendall, heatmap visualization, significance tests
Missing Value Analysis
Handle missing data: Detect patterns, visualize missingness, imputation options
Outlier Detection
Find anomalies: Z-score method, IQR method, Isolation Forest, LOF
Statistics Tools
Descriptive Statistics
Summary metrics: Mean, median, mode, std dev, variance, skewness, kurtosis
Hypothesis Testing
Statistical tests: t-test, ANOVA, Chi-square, Mann-Whitney U
Distribution Fitter
Fit distributions: Normal, log-normal, exponential, gamma, Poisson
Regression Analysis
Fit regression: Linear, polynomial, residual analysis, R-squared, RMSE
Clustering Tools
K-Means
Configurable K, elbow method, cluster visualization
DBSCAN
Density-based, noise detection, arbitrary shapes
Hierarchical
Dendrogram-based, linkage methods, distance metrics
Gaussian Mixture
Soft assignments, BIC/AIC selection
Cluster Evaluation
Silhouette score, Davies-Bouldin, Calinski-Harabasz
Model Evaluation Tools
Confusion Matrix
True/false positives, precision, recall, F1 score
ROC-AUC Curve
ROC curve plot, AUC calculation, threshold selection
Precision-Recall
PR curve plot, average precision, threshold analysis
Cross-Validation
K-fold CV, stratified CV, leave-one-out
Learning Curves
Train vs val curves, bias-variance diagnosis
Signal Processing Tools
FFT Analysis
Magnitude spectrum, phase spectrum, power spectral density
Spectrogram
STFT analysis, window selection, colormap visualization
Filter Designer
Low/high/band pass, FIR/IIR, frequency response
Convolution
1D/2D convolution, custom kernels, padding modes
Wavelet Transform
Wavelet families, decomposition levels, reconstruction
Tool Interface
All tools share a consistent interface:
+------------------------------------------------------------------+ | Tool Name [x] [-] | +------------------------------------------------------------------+ | | | [Input Section] | | +-----------------------+ | | | Data Source: [v] | Select dataset or array | | | Column: [v] | Select variable | | +-----------------------+ | | | | [Parameters Section] | | +-----------------------+ | | | Parameter 1: [___] | | | | Parameter 2: [___] | | | +-----------------------+ | | | | [Actions] | | [ Run ] [ Export ] [ Clear ] | | | | [Results Section] | | +---------------------------------------------------------+ | | | Results displayed here (tables, plots, statistics) | | | +---------------------------------------------------------+ | | | +------------------------------------------------------------------+