exploratory-data-analysis

Automated analysis of 200+ scientific data formats with format-specific insights and quality assessment. Perform comprehensive exploratory data analysis (EDA) on scientific data files across multiple domains. This skill provides automated file type detection, format-specific analysis, data quality assessment, and generates detailed markdown reports suitable for documentation and downstream analysis planning. Key Capabilities: Use this skill when: The skill has comprehensive coverage of scientific file formats organized into six major categories: Structure files, computational chemistry outputs, molecular dynamics trajectories, and chemical databases. File types include: .pdb , .cif , .mol , .mol2 , .sdf , .xyz , .smi , .gro , .log , .fchk , .cube , .dcd , .xtc , .trr , .prmtop , .psf , and more. Reference file: references/chemistry_molecular_formats.md Sequence data, alignments, annotations, variants, and expression data. File types include: .fasta , .fastq , .sam , .bam , .vcf , .bed , .gff , .gtf , .bigwig , .h5ad , .loom , .counts , .mtx , and more. Reference file: references/bioinformatics_genomics_formats.md Microscopy images, medical imaging, whole slide imaging, and electron microscopy.