{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:CERLWKHDDGCBP65CXNMARDNAZ6","short_pith_number":"pith:CERLWKHD","canonical_record":{"source":{"id":"1403.0532","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-03-03T19:27:33Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"b5529eb8bf0cc0a952eed2ae8585e2d0d62ba8075b27694f549f48ff4e3b9a62","abstract_canon_sha256":"1abe881a633ef980f847b79a483e96e23cba61105098ba2fc8e96ca70f2bf82a"},"schema_version":"1.0"},"canonical_sha256":"1122bb28e3198417fba2bb58088da0cf95a61658fd96e268ce13b6e161fd5219","source":{"kind":"arxiv","id":"1403.0532","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.0532","created_at":"2026-05-18T02:57:24Z"},{"alias_kind":"arxiv_version","alias_value":"1403.0532v1","created_at":"2026-05-18T02:57:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.0532","created_at":"2026-05-18T02:57:24Z"},{"alias_kind":"pith_short_12","alias_value":"CERLWKHDDGCB","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"CERLWKHDDGCBP65C","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"CERLWKHD","created_at":"2026-05-18T12:28:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:CERLWKHDDGCBP65CXNMARDNAZ6","target":"record","payload":{"canonical_record":{"source":{"id":"1403.0532","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-03-03T19:27:33Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"b5529eb8bf0cc0a952eed2ae8585e2d0d62ba8075b27694f549f48ff4e3b9a62","abstract_canon_sha256":"1abe881a633ef980f847b79a483e96e23cba61105098ba2fc8e96ca70f2bf82a"},"schema_version":"1.0"},"canonical_sha256":"1122bb28e3198417fba2bb58088da0cf95a61658fd96e268ce13b6e161fd5219","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:57:24.626804Z","signature_b64":"WgaB5yNOQZq9l6ohjAJZJns+ManG4tf9/xrVd0shdsJLeGQa3AsKzRlNGqrsFiEhqNy+dLZoALTVkDQ1zSKwDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1122bb28e3198417fba2bb58088da0cf95a61658fd96e268ce13b6e161fd5219","last_reissued_at":"2026-05-18T02:57:24.626029Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:57:24.626029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1403.0532","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:57:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mPYMDXuC62ZNjd6BmnGz+9nmxKc8Vs06ThvsZoYYoUUKDyy9m0gEJanBYfkf6ClsyvwWkvvlTd00nCINu0L7Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T11:21:02.622437Z"},"content_sha256":"b357605a6d14d5a41ef2ab60d1673ffdc129d1b770698d888f775e3d6e396fba","schema_version":"1.0","event_id":"sha256:b357605a6d14d5a41ef2ab60d1673ffdc129d1b770698d888f775e3d6e396fba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:CERLWKHDDGCBP65CXNMARDNAZ6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Visualization of Skewed Data: A Tool in R","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.CO","authors_text":"A. C. Frery, A. M. Larangeiras, R. Ospina","submitted_at":"2014-03-03T19:27:33Z","abstract_excerpt":"In this work we present a visualization tool specifically tailored to deal with skewed data. The technique is based upon the use of two types of notched boxplots (the usual one, and one which is tuned for the skewness of the data), the violin plot, the histogram and a nonparametric estimate of the density. The data is assumed to lie on the same line, so the plots are compatible. We show that a good deal of information can be extracted from the inspection of this tool; in particular, we apply the technique to analyze data from synthetic aperture radar images. We provide the implementation in R."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.0532","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:57:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0l2Pud4nFVMC1rr3oRO2lh+E++K/NSwMpb/2M0bkL2huM+TNqQQtj1YhYUlkCmW/7w5Ut862r6sx4e03oy+XDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T11:21:02.622790Z"},"content_sha256":"d8621f6907d52385aa83fb5cce05fa5dc7c9352e44981b0629f2babae6497086","schema_version":"1.0","event_id":"sha256:d8621f6907d52385aa83fb5cce05fa5dc7c9352e44981b0629f2babae6497086"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CERLWKHDDGCBP65CXNMARDNAZ6/bundle.json","state_url":"https://pith.science/pith/CERLWKHDDGCBP65CXNMARDNAZ6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CERLWKHDDGCBP65CXNMARDNAZ6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-27T11:21:02Z","links":{"resolver":"https://pith.science/pith/CERLWKHDDGCBP65CXNMARDNAZ6","bundle":"https://pith.science/pith/CERLWKHDDGCBP65CXNMARDNAZ6/bundle.json","state":"https://pith.science/pith/CERLWKHDDGCBP65CXNMARDNAZ6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CERLWKHDDGCBP65CXNMARDNAZ6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:CERLWKHDDGCBP65CXNMARDNAZ6","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1abe881a633ef980f847b79a483e96e23cba61105098ba2fc8e96ca70f2bf82a","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-03-03T19:27:33Z","title_canon_sha256":"b5529eb8bf0cc0a952eed2ae8585e2d0d62ba8075b27694f549f48ff4e3b9a62"},"schema_version":"1.0","source":{"id":"1403.0532","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.0532","created_at":"2026-05-18T02:57:24Z"},{"alias_kind":"arxiv_version","alias_value":"1403.0532v1","created_at":"2026-05-18T02:57:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.0532","created_at":"2026-05-18T02:57:24Z"},{"alias_kind":"pith_short_12","alias_value":"CERLWKHDDGCB","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"CERLWKHDDGCBP65C","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"CERLWKHD","created_at":"2026-05-18T12:28:22Z"}],"graph_snapshots":[{"event_id":"sha256:d8621f6907d52385aa83fb5cce05fa5dc7c9352e44981b0629f2babae6497086","target":"graph","created_at":"2026-05-18T02:57:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In this work we present a visualization tool specifically tailored to deal with skewed data. The technique is based upon the use of two types of notched boxplots (the usual one, and one which is tuned for the skewness of the data), the violin plot, the histogram and a nonparametric estimate of the density. The data is assumed to lie on the same line, so the plots are compatible. We show that a good deal of information can be extracted from the inspection of this tool; in particular, we apply the technique to analyze data from synthetic aperture radar images. We provide the implementation in R.","authors_text":"A. C. Frery, A. M. Larangeiras, R. Ospina","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-03-03T19:27:33Z","title":"Visualization of Skewed Data: A Tool in R"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.0532","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b357605a6d14d5a41ef2ab60d1673ffdc129d1b770698d888f775e3d6e396fba","target":"record","created_at":"2026-05-18T02:57:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1abe881a633ef980f847b79a483e96e23cba61105098ba2fc8e96ca70f2bf82a","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-03-03T19:27:33Z","title_canon_sha256":"b5529eb8bf0cc0a952eed2ae8585e2d0d62ba8075b27694f549f48ff4e3b9a62"},"schema_version":"1.0","source":{"id":"1403.0532","kind":"arxiv","version":1}},"canonical_sha256":"1122bb28e3198417fba2bb58088da0cf95a61658fd96e268ce13b6e161fd5219","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1122bb28e3198417fba2bb58088da0cf95a61658fd96e268ce13b6e161fd5219","first_computed_at":"2026-05-18T02:57:24.626029Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:57:24.626029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WgaB5yNOQZq9l6ohjAJZJns+ManG4tf9/xrVd0shdsJLeGQa3AsKzRlNGqrsFiEhqNy+dLZoALTVkDQ1zSKwDg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:57:24.626804Z","signed_message":"canonical_sha256_bytes"},"source_id":"1403.0532","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b357605a6d14d5a41ef2ab60d1673ffdc129d1b770698d888f775e3d6e396fba","sha256:d8621f6907d52385aa83fb5cce05fa5dc7c9352e44981b0629f2babae6497086"],"state_sha256":"ba49f13fe26c5e6cb41fbcea1fa7d81ecb1d61ad159a39bae41d1b1c7324f9e4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9hl/Qu8x6PuwGCwg0ZpMJz3UXSzUYOJkqHZSmWz+8F0li3VId/WS9Za0jUlcNPaR0vPQXlRf6GOhvfKsEjOYDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T11:21:02.624676Z","bundle_sha256":"aa0d4fc8a70f69df86213a5120ed1eac670b0931e6ff5aa5706c8d1bfadd4172"}}