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Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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- 2404 Interpretation 1d6219a6| p-value | Interpretation | |---------|----------------| | ≤ 0.01 | Strong evidence of stationarity | | ≤ 0.05 | Stationary (reject null) | | > 0.05 | Non-stationary (fail to reject) |Votes: 0GitHub stars: 9
- 2326 Analytics Engine Cf8bc17a```python from dataclasses import dataclass from datetime import datetime, timedelta from typing import List, Dict, Optional from collections import defaultdict import jsonVotes: 0GitHub stars: 9
- 2322 Geepers Corpus A8c780b5Agent for corpus linguistics projects, language dataset management, compu...Votes: 0GitHub stars: 9
- 2036 Errors B7cddd97| Error | Cause | Solution | |-------|-------|----------| | Metrics not collecting | Tracking disabled | Enable analytics in settings | | Dashboard not loading | Permission issue | Check user access permissions | | Report generation failed | Data missing | Verify data collection, check date range | | ROI calculation invalid | Missing baseline | Establish pre-implementation baseline | | Privacy concern flagged | PII in metrics | Update privacy filters, anonymize data |Votes: 0GitHub stars: 9
- 2036 Errors A8257e28**Collection Not Found** - Error: `404 Not Found` or empty response - Cause: Invalid collection slug or collection delisted - Solution: Verify slug on OpenSea; try contract address insteadVotes: 0GitHub stars: 9
- 1782 Arxiv 602173c1Search academic papers on ArXiv via public API.Votes: 0GitHub stars: 9
- 1251 Judgment Under Uncertainty Heuristics And Biases B6fc8450Judgment under Uncertainty: Heuristics and Biases Daniel Kahneman and Amos Tversky (1974) Abstract People rely on a limited set of heuristics to judge probabilities and values under uncertainty. These heuristics—representativeness, availability, and anchoring/adjustment—are efficient but induce systematic, predictable biases. Empirical demonstrations include base-rate neglect, insensitivity to sample size, misconceptions of chance, illusory correlation, and overconfidence. 1. Introduction Hum...Votes: 0GitHub stars: 9
- 124 Document 7afc7483This document explains the theoretical foundations of SHAP (SHapley Additive exPlanations), including Shapley values from game theory, the principles that make SHAP unique, and connections to other explanation methods.Votes: 0GitHub stars: 9
- 114 Document 1d37dd43This document provides detailed information about all similarity scoring methods available in matchms.Votes: 0GitHub stars: 9
- 109 Catalog 978d6bb3Comprehensive catalog of all available medicinal chemistry rules, structural alerts, and filters in medchem.Votes: 0GitHub stars: 9
- 084 Quick Bf0accabQuick reference for analyzing STDM data with Polars.Votes: 0GitHub stars: 9
- 067 Extracting Aa8be4acComprehensive guide to extracting accurate citation metadata from DOIs, PMIDs, arXiv IDs, and URLs using various APIs and services.Votes: 0GitHub stars: 9
- 034 Document F1491da8This document provides a comprehensive catalog of all datasets available in `torch_geometric.datasets`.Votes: 0GitHub stars: 9
- 032 Bio 70a4de04Bio.Entrez provides programmatic access to NCBI's Entrez databases, including PubMed, GenBank, Gene, Protein, Nucleotide, and many others. It handles all the complexity of API calls, rate limiting, and data parsing.Votes: 0GitHub stars: 9
- 029 Clinvar C8c79d77ClinVar provides bulk data downloads in multiple formats to support different research workflows. Data is distributed via FTP and updated on regular schedules.Votes: 0GitHub stars: 9
- 010 Bibtex 89fde5b4Comprehensive guide to BibTeX entry types, required fields, formatting conventions, and best practices.Votes: 0GitHub stars: 9
- 003 Name Skill Feb30423Calculate SAPS-II (Simplified Acute Physiology Score II) for ICU patients. Use for mortality prediction, severity assessment, or international ICU benchmarking.Votes: 0GitHub stars: 9
- 003 Name Skill Dd27ab39文本处理工具。支持的操作(operation)：uppercase(大写)、lowercase(小写)、reverse(反转)、trim(去空白)、count(统计)。参数：text(文本)、operation(操作类型)。Votes: 0GitHub stars: 9
- 003 Name Skill D15c8e9aDigital punch list management for construction project closeout. Track deficiencies, assign corrections, photo documentation, and completion verification.Votes: 0GitHub stars: 9
- 003 Name Skill 65c59c12Identify first ICU stays and first hospital admissions for cohort selection. Use to exclude readmissions, create independent observations, or build adult patient cohorts.Votes: 0GitHub stars: 9
- 003 Name Skill 5a72d413Identify Sepsis-3 patients using the consensus definition (SOFA >= 2 + suspected infection). Use for sepsis cohort studies, outcome research, or quality metrics.Votes: 0GitHub stars: 9
- 002 Beyond 63e273ceBeyond patent search, PEDS, and trademarks, USPTO provides specialized APIs for citations, office actions, assignments, litigation, and other patent data.Votes: 0GitHub stars: 9
- 2689 Timeseries C126c36c- [Built-in Time Series Distributions](#built-in-time-series-distributions) - [Autoregressive Models](#autoregressive-models) - [Random Walk Models](#random-walk-models) - [Structural Time Series](#structural-time-series) - [GPs for Time Series](#gps-for-time-series) - [Handling Seasonality](#handling-seasonality) - [Forecasting](#forecasting)Votes: 0GitHub stars: 9
- 2600 Data Driven Optimize Output Analysis E58bea19Before using the Python tools described in this guide, you must authenticate your local environment with Google Cloud. The tools need to access the output files stored in a GCS bucket, which requires proper permissions.Votes: 0GitHub stars: 9