Analysis

Analyze time-frequency content with CWT, STFT, synchrosqueezing and EMD

Pick the right MATLAB tool for CSV or Parquet files too big for memory

Extract battery health features like SOH and resistance from cycling tests in MATLAB

Extract fault and condition features from motor, pump, gear and bearing signals

Extract time, frequency and time-frequency features from 1-D signals in MATLAB

Fit curves and surfaces interactively with the Curve Fitter app

Read and write CSV, Excel, Parquet, JSON and XML files in MATLAB

Formulate and solve optimization problems with fmincon, linprog and ga in MATLAB

Analyze experiment results with statistics, comparison tables and written insights

Analyze experiment results with statistics and draft the results section of a paper

Run fast genomic interval joins, overlaps and coverage on Polars DataFrames

Export an analysis as a reproducible bundle with Conda, Singularity and Nextflow

Turn a metric drop, funnel leak or cohort question into product decisions

Compare one session against recent averages on cost, tokens and tool count

Roll up Claude Code sessions by project folder with cost, tokens and last activity

Export Claude Code sessions, events and costs to JSON, CSV or Markdown

Compare two Claude Code sessions on tokens, cost, tools and workflow shape

Find your peak Claude Code hours and days from session timestamps

Track Claude Code usage over time by sessions, events, tokens and tools

Create custom report types that join related objects for reports

Create and validate Lightning reports with groupings, filters and charts

Analyze CSV files with Python and pandas to compute statistics and insights

Create and edit xlsx and csv files while keeping formulas intact with openpyxl

Query Fabric lakehouse and warehouse Delta tables locally with DuckDB

Route a Process Mining overview to the right analysis path

Find explanatory attributes behind slow process durations, waits and rework

Analyze object-centric processes and cross-object delays in process mining data

Investigate common, slow and unusual process variants and repeated work

Compare process cohorts and before-and-after results under matched definitions

Define a custom process metric or derived formula when a measure is missing

Investigate broad process mining questions across several analytical views

Audit dataset labels, splits and preprocessing for leakage and misalignment

Create or update a Markdown inventory of task-relevant research data and coverage

Run Python code in an exec tool for calculations and data analysis

Organize multi-step analyses like QC, PCA and DEG into reproducible modules

Run Python snippets for data analysis, charts and quick scripts with resource limits

Pull US Census demographic, housing and economic data by geography via API

Run Python for statistics, numerical computation and simulations to verify results

Clean a dataset, run exploratory analysis and statistical tests, then report results

Run hypothesis tests, correlation analysis and multiple testing corrections

Clean, reshape and preprocess tabular data with pandas and numpy

Work with shapefiles, GeoJSON and GeoPackage files for spatial joins and maps

Analyze vector geodata and NetCDF climate files with geopandas and xarray

Run GIS operations, spatial statistics and satellite image processing

Find patterns and build knowledge graphs from linguistic and historical data

Analyze graphs with community detection, centrality and network visualization

Mine text with sentiment, topic modeling and named entity recognition

Tokenize text, tag parts of speech and run corpus statistics with NLTK

Process in-memory datasets quickly with lazy, parallel Polars DataFrames