Results for “data”

Analiza datasets con Pandas y NumPy: explora distribuciones, correlaciones y patrones, y aplica tests de hipótesis para extraer conocimiento no obvio.

Optimize SQL queries, design database schemas, and tune performance across cloud-native and hybrid OLTP/OLAP environments.

Write, review, debug, test, or optimize pandas Series, DataFrame, Index, groupby, merge, reshape, dtype, missing-value, and time-series code.

DataFrame operations with pandas and polars — groupby, joins, reshaping, performance. Use when manipulating tabular data, choosing between pandas and polars, optimizing DataFrame code, or translating between the two libraries.

dbt (data build tool) transforms data in your warehouse using SQL SELECT statements. Learn project setup, models, tests, documentation, incremental materializations, and integration with data warehouses like PostgreSQL, BigQuery, and Snowflake.

Design normalized database schemas with tables, relationships, indexes, and constraints for any application domain. Use when the user requests database schema design or provides relevant inputs for this workflow.

MongoDB - NoSQL document database with flexible schema design, aggregation pipelines, indexing strategies, and Spring Data integration

SynthText: Synthetic Data for Text Detection

Data-Centric Artificial Intelligence: A Survey

AutoAugment: Learning Augmentation Strategies from Data

Validates data quality with completeness, consistency, accuracy checks and generates quality reports

Designs ETL/ELT data pipelines with Apache Airflow, dbt, or Prefect configurations

Globus CLI workflow for staging HuBMAP CODEX datasets from remote endpoints to HiPerGator

Detect processed data produced with old/buggy KINTSUGI code via timestamp forensics

Use this skill when the user asks about DataQ — FMCSA's data review system at dataqs.fmcsa.dot.gov — for disputing inspection violations, crash records, or other entries that appear in a carrier's CSA / SMS score. Covers Request for Data Review (RDR) process, success rates, common dispute grounds, what evidence to attach, timeline expectations, and how successful disputes reduce BSI (BASIC Severity Indicator) scores. Cite 49 CFR 392.7 and the FMCSA DataQs User Guide.

Query Google Data Commons for public statistical data aggregated from global sources, resolving geographic entities and pulling time-series statistics. Use when working with demographic data, economic indicators, health statistics, or environmental data — population counts, GDP figures, unemployment rates, disease prevalence — or when resolving places to DCIDs and exploring relationships between statistical entities. Part of the AlterLab Academic Skills suite.

GDPR compliance implementation. Data subject rights (access, deletion, portability), consent management, data processing records, PII handling, and privacy by design patterns. USE WHEN: user mentions "GDPR", "data privacy", "right to be forgotten", "data deletion", "consent management", "PII", "data subject request", "privacy policy", "cookie consent" DO NOT USE FOR: authentication - use auth skills; encryption - use `cryptography`; audit logging - use `audit-logging`

Enables the Google Analytics Data API, authenticates via gcloud, and creates customized reports using the v1beta client library.

Load sharded datasets (npy, Parquet, HDF5, raw binary) into distributed cuPyNumeric arrays using manual partitioning and Legate task launches.

Generate production-ready Python code using the Dataverse SDK with error handling, retry logic, OData optimization, and logging.

Design reliable, scalable, and maintainable data systems by applying principles from storage engines, replication, partitioning, transactions, and consistency models.

Write, optimize, and debug Apache Spark jobs for high-performance distributed data processing, ETL pipelines, and big data workloads.

Performs authorized database security assessments across PostgreSQL, MySQL, MSSQL, MongoDB, and Redis, checking exposure, authentication, authorization, dangerous configurations, and exploit paths.

Process and analyze tabular datasets larger than RAM using lazy, out-of-core DataFrames, with fast aggregations, visualization, and machine learning integration.

Extracts structured JSON data from complex multi-page websites using an AI agent that navigates pages and returns results matching a schema.

Create data-driven charts with Vega-Lite and Vega, covering bar, line, scatter, heatmap, area, radar, and word cloud visualizations from structured data arrays.

Discovers and invokes external APIs and tools dynamically through the QVeris service, covering weather, search, stock data, and more.

Creating Excel spreadsheets programmatically with openpyxl — worksheets, data, formulas, charts, formatting, and named ranges. Use when generating financial models, data reports, dashboards, or any structured spreadsheet from data or templates.

Create, schedule, and verify database backups with support for full, incremental, and point-in-time recovery strategies. Use when the user requests database backup or provides relevant inputs for this workflow.

Fast in-memory DataFrame analytics with Polars — lazy evaluation, parallel execution, and an Apache Arrow backend for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory, for 1-100GB datasets, ETL pipelines, or a faster pandas replacement. For larger-than-RAM data prefer dask or vaex. Part of the AlterLab Academic Skills suite.

Use when working in Go and you need DataList/DataTable-style data wrangling, quick previews, parallel transforms, file I/O (CSV/Excel/Parquet), Excel-like column formulas (CCL), or charts; also use when data analysis is requested without a specified stack, defaulting to Go + Insyra over Python + pandas.

Implements compliance with Turkey's Personal Data Protection Law (Kisisel Verilerin Korunmasi Kanunu, KVKK, Law No. 6698). Covers data controller obligations, data subject rights, VERBIS registration, cross-border transfer restrictions, Board decisions, and administrative fines. Keywords: KVKK, Turkey, VERBIS, data controller registry, Board decision, cross-border.

Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. Handles complex query analysis, migration strategies, and performance monitoring. Use PROACTIVELY for database optimization, performance issues, or scalability challenges.

Profile an unfamiliar dataset — shape, grain, quality, nulls, distributions, and duplicates — before any analysis is trusted.

COYO-700M: Image-Text Pair Dataset

Generate realistic mock data from descriptions, types, or schemas. Use when you need test data fast.