[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KFDQA5XKVC1NJS62JKD403":3,"skill-same:01M6KFDQA5XKVC1NJS62JKD403":59},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":32,"linkOnly":33,"markdownContent":34,"markdownBody":35,"frontMatter":36,"refName":37,"commitSha":38,"skillDirectory":39,"forksCount":40,"repositoryHtmlUrl":41,"repositoryHomepageUrl":42,"ownerHtmlUrl":43,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":44,"install":45,"resources":58},"01M6KFDQA5XKVC1NJS62JKD403","run2_excel-statistics-aggregates",null,"Excel statistical functions for datasets including MIN, MAX, MEDIAN, AVERAGE, QUARTILE, and SUMPRODUCT","cxcscmu\u002FSkillLearnBench","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","01M6KCQDFQWPDSN0MKZY96MSQP","01M6KCQDM7G70TKJ28NTSQC0RZ",92,"MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-claude-haiku-4-5\u002Fweighted-gdp-calculation\u002Frun2_excel-statistics-aggregates\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000004","电子表格","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31],"xlsx","aggregates","statistics","run2 excel statistics aggregates","datasets","functions","max","median","for","2026-11-10 10:12:30",false,"---\nname: run2_excel-statistics-aggregates\ndescription: Excel statistical functions for datasets including MIN, MAX, MEDIAN, AVERAGE, QUARTILE, and SUMPRODUCT\n---\n\n# Excel Statistical and Aggregate Functions\n\n## Central Tendency Functions\n\n### AVERAGE (Arithmetic Mean)\nReturns the arithmetic mean of a range.\n```\n=AVERAGE(H35:H40)\n```\n- Simple mean across all values\n- Treats all values equally\n- Returns single decimal value\n\n### MEDIAN\nReturns the middle value in a sorted range.\n```\n=MEDIAN(H35:H40)\n```\n- Middle value when data is sorted\n- For 6 values: average of 3rd and 4th values\n- Robust to outliers\n\n## Extreme Values\n\n### MIN\nReturns the minimum value in a range.\n```\n=MIN(H35:H40)\n```\n\n### MAX\nReturns the maximum value in a range.\n```\n=MAX(H35:H40)\n```\n\n## Percentile Functions\n\n### QUARTILE (Excel 2007+) - Recommended\nReturns quartile values for a dataset.\n\n**Syntax:** `=QUARTILE(range, quart)`\n\n**Parameters:**\n- **range**: Data range to analyze (e.g., H35:H40)\n- **quart**: Quartile number (0-4)\n  - 0: Minimum value\n  - 1: 25th percentile (Q1)\n  - 2: Median\u002F50th percentile\n  - 3: 75th percentile (Q3)\n  - 4: Maximum value\n\n**Examples:**\n```\n=QUARTILE(H35:H40, 1)   # 25th percentile\n=QUARTILE(H35:H40, 3)   # 75th percentile\n```\n\n### PERCENTILE (Alternative Syntax)\nReturns percentile value with flexible precision.\n\n**Syntax:** `=PERCENTILE(range, k)`\n\n**Parameters:**\n- **range**: Data range\n- **k**: Percentile value (0 to 1)\n  - 0.25 for 25th percentile\n  - 0.5 for 50th percentile (median)\n  - 0.75 for 75th percentile\n\n**Examples:**\n```\n=PERCENTILE(H35:H40, 0.25)   # 25th percentile\n=PERCENTILE(H35:H40, 0.75)   # 75th percentile\n```\n\n## Weighted Aggregates\n\n### SUMPRODUCT (Weighted Sum and Weighted Mean)\n\n**For weighted sum:**\n```\n=SUMPRODUCT(values_range, weights_range)\n```\nMultiplies each value by its weight, then sums results.\n\n**For weighted mean:**\n```\n=SUMPRODUCT(values_range, weights_range) \u002F SUM(weights_range)\n```\n\n**Example - Weighted mean of GDP by country:**\n```\n=SUMPRODUCT(H35:H40, H26:H31) \u002F SUM(H26:H31)\n```\n\n**Example - Aggregate net exports as % of GDP for region:**\n```\n=(SUM(Exports) - SUM(Imports)) \u002F SUM(GDP) * 100\n```\n\n## Rounding Statistical Results\n\nAlways round when displaying statistics as percentages or to specific decimal places:\n\n```\n=ROUND(MIN(H35:H40), 1)\n=ROUND(MAX(H35:H40), 1)\n=ROUND(MEDIAN(H35:H40), 1)\n=ROUND(AVERAGE(H35:H40), 1)\n=ROUND(QUARTILE(H35:H40, 1), 1)\n=ROUND(QUARTILE(H35:H40, 3), 1)\n```\n\n## Statistical Function Selection Guide\n\n| Need | Function | Example |\n|------|----------|---------|\n| Middle value | MEDIAN | `=MEDIAN(range)` |\n| Average | AVERAGE | `=AVERAGE(range)` |\n| Smallest | MIN | `=MIN(range)` |\n| Largest | MAX | `=MAX(range)` |\n| 25th percentile | QUARTILE(...,1) | `=QUARTILE(range,1)` |\n| 75th percentile | QUARTILE(...,3) | `=QUARTILE(range,3)` |\n| Weighted average | SUMPRODUCT | `=SUMPRODUCT(vals,wts)\u002FSUM(wts)` |\n| Aggregate %* | SUM ratio | `=(SUM(E)-SUM(I))\u002FSUM(G)*100` |\n\n*For aggregate metrics like GCC-wide net exports %\n\n## Performance Considerations\n\n- **SUMPRODUCT vs. array formulas**: SUMPRODUCT is simpler and more compatible across Excel versions\n- **Data range size**: All functions handle large ranges efficiently (tested up to millions of rows)\n- **Empty cells**: Most functions ignore empty cells; verify if zeros should be included\n\n## Common Patterns for Data Analysis\n\n### Compare Individual vs. Aggregate\n```\nIndividual (per country): =ROUND(AVERAGE(H35:H40), 1)\nAggregate (for region): =ROUND((SUM(H12:H17)-SUM(H19:H24))\u002FSUM(H26:H31)*100, 1)\n```\n\n### Detect Outliers Using Quartiles\n```\nQ1: =QUARTILE(range, 1)\nQ3: =QUARTILE(range, 3)\nIQR: =Q3 - Q1\nOutlier threshold: Values > Q3 + 1.5*IQR or \u003C Q1 - 1.5*IQR\n```\n\n### Multi-Dimensional Aggregation\n```\n=SUMPRODUCT(criteria_range=criteria_value, aggregate_range) \u002F SUMPRODUCT(criteria_range=criteria_value, weight_range)\n```\n","# Excel Statistical and Aggregate Functions\n\n## Central Tendency Functions\n\n### AVERAGE (Arithmetic Mean)\nReturns the arithmetic mean of a range.\n```\n=AVERAGE(H35:H40)\n```\n- Simple mean across all values\n- Treats all values equally\n- Returns single decimal value\n\n### MEDIAN\nReturns the middle value in a sorted range.\n```\n=MEDIAN(H35:H40)\n```\n- Middle value when data is sorted\n- For 6 values: average of 3rd and 4th values\n- Robust to outliers\n\n## Extreme Values\n\n### MIN\nReturns the minimum value in a range.\n```\n=MIN(H35:H40)\n```\n\n### MAX\nReturns the maximum value in a range.\n```\n=MAX(H35:H40)\n```\n\n## Percentile Functions\n\n### QUARTILE (Excel 2007+) - Recommended\nReturns quartile values for a dataset.\n\n**Syntax:** `=QUARTILE(range, quart)`\n\n**Parameters:**\n- **range**: Data range to analyze (e.g., H35:H40)\n- **quart**: Quartile number (0-4)\n  - 0: Minimum value\n  - 1: 25th percentile (Q1)\n  - 2: Median\u002F50th percentile\n  - 3: 75th percentile (Q3)\n  - 4: Maximum value\n\n**Examples:**\n```\n=QUARTILE(H35:H40, 1)   # 25th percentile\n=QUARTILE(H35:H40, 3)   # 75th percentile\n```\n\n### PERCENTILE (Alternative Syntax)\nReturns percentile value with flexible precision.\n\n**Syntax:** `=PERCENTILE(range, k)`\n\n**Parameters:**\n- **range**: Data range\n- **k**: Percentile value (0 to 1)\n  - 0.25 for 25th percentile\n  - 0.5 for 50th percentile (median)\n  - 0.75 for 75th percentile\n\n**Examples:**\n```\n=PERCENTILE(H35:H40, 0.25)   # 25th percentile\n=PERCENTILE(H35:H40, 0.75)   # 75th percentile\n```\n\n## Weighted Aggregates\n\n### SUMPRODUCT (Weighted Sum and Weighted Mean)\n\n**For weighted sum:**\n```\n=SUMPRODUCT(values_range, weights_range)\n```\nMultiplies each value by its weight, then sums results.\n\n**For weighted mean:**\n```\n=SUMPRODUCT(values_range, weights_range) \u002F SUM(weights_range)\n```\n\n**Example - Weighted mean of GDP by country:**\n```\n=SUMPRODUCT(H35:H40, H26:H31) \u002F SUM(H26:H31)\n```\n\n**Example - Aggregate net exports as % of GDP for region:**\n```\n=(SUM(Exports) - SUM(Imports)) \u002F SUM(GDP) * 100\n```\n\n## Rounding Statistical Results\n\nAlways round when displaying statistics as percentages or to specific decimal places:\n\n```\n=ROUND(MIN(H35:H40), 1)\n=ROUND(MAX(H35:H40), 1)\n=ROUND(MEDIAN(H35:H40), 1)\n=ROUND(AVERAGE(H35:H40), 1)\n=ROUND(QUARTILE(H35:H40, 1), 1)\n=ROUND(QUARTILE(H35:H40, 3), 1)\n```\n\n## Statistical Function Selection Guide\n\n| Need | Function | Example |\n|------|----------|---------|\n| Middle value | MEDIAN | `=MEDIAN(range)` |\n| Average | AVERAGE | `=AVERAGE(range)` |\n| Smallest | MIN | `=MIN(range)` |\n| Largest | MAX | `=MAX(range)` |\n| 25th percentile | QUARTILE(...,1) | `=QUARTILE(range,1)` |\n| 75th percentile | QUARTILE(...,3) | `=QUARTILE(range,3)` |\n| Weighted average | SUMPRODUCT | `=SUMPRODUCT(vals,wts)\u002FSUM(wts)` |\n| Aggregate %* | SUM ratio | `=(SUM(E)-SUM(I))\u002FSUM(G)*100` |\n\n*For aggregate metrics like GCC-wide net exports %\n\n## Performance Considerations\n\n- **SUMPRODUCT vs. array formulas**: SUMPRODUCT is simpler and more compatible across Excel versions\n- **Data range size**: All functions handle large ranges efficiently (tested up to millions of rows)\n- **Empty cells**: Most functions ignore empty cells; verify if zeros should be included\n\n## Common Patterns for Data Analysis\n\n### Compare Individual vs. Aggregate\n```\nIndividual (per country): =ROUND(AVERAGE(H35:H40), 1)\nAggregate (for region): =ROUND((SUM(H12:H17)-SUM(H19:H24))\u002FSUM(H26:H31)*100, 1)\n```\n\n### Detect Outliers Using Quartiles\n```\nQ1: =QUARTILE(range, 1)\nQ3: =QUARTILE(range, 3)\nIQR: =Q3 - Q1\nOutlier threshold: Values > Q3 + 1.5*IQR or \u003C Q1 - 1.5*IQR\n```\n\n### Multi-Dimensional Aggregation\n```\n=SUMPRODUCT(criteria_range=criteria_value, aggregate_range) \u002F SUMPRODUCT(criteria_range=criteria_value, weight_range)\n```\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb2-self-feedback-claude-haiku-4-5\u002Fweighted-gdp-calculation\u002Frun2_excel-statistics-aggregates",7,"https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench","https:\u002F\u002Fcxcscmu.github.io\u002FSkillLearnBench","https:\u002F\u002Fgithub.com\u002Fcxcscmu","2026-10-02 22:55:36",{"source":8,"skillName":5,"commands":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill run2_excel-statistics-aggregates",{"tool":51,"command":52},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill run2_excel-statistics-aggregates",{"tool":54,"command":55},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill run2_excel-statistics-aggregates","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-claude-haiku-4-5\u002Fweighted-gdp-calculation\u002Frun2_excel-statistics-aggregates\u002FSKILL.md",true,[],[60,76,100,118,138,150],{"skillNo":61,"name":62,"nameZh":6,"description":63,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":64,"categories":65,"keywords":69,"publishedAt":32},"01M6KM5KH175P5ABP5JMX2SBDQ","object_counter","Count occurrences of an object in the image using computer vision algorithm.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fvideo-object-counting\u002Fobject_counter\u002FSKILL.md",[66],{"categoryNo":67,"categoryName":68,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",[70,71,72,73,74,75],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":85,"publishedAt":32},"01M6KM51TMVXG79MMPCS6Y8G86","travel-planning-workflow","Invoke this skill when performing travel planning. It defines a structured workflow for generating itineraries. Following this workflow is essential to ensure the final plan satisfies user requirements.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Ftravel-planning-workflow\u002FSKILL.md",[82],{"categoryNo":83,"categoryName":84,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[86,87,88,89,90,91,92,93,94,31,95,96,97,98,99],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","user","it","requirements","essential","itineraries",{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":106,"publishedAt":32},"01M6KM4DY820XHS9YTSK5QP5HD","bundled-dataset-search-tool","invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Fbundled-dataset-search-tool\u002FSKILL.md",[],[107,108,109,110,111,112,113,89,114,115,90,116,31,117,87],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":32},"01M6KM465BB9PQ0B548HQSVAWZ","glm-output","Output-processing guidance for GLM tasks. Especially useful after glm-basics and glm-calibration when you need verifier-matching metrics from output.nc and a final \u002Froot\u002Fmetrics.json.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-output\u002FSKILL.md",[],[125,126,127,31,128,129,130,131,132,133,134,135,116,136,137],"glm output","output","glm","tasks","metrics","json","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":145,"publishedAt":32},"01M6KM40KY3QWDW5W97S39R2BC","glm-calibration","Calibration guidance for GLM tasks. Often most effective after glm-basics has clarified the setup; glm-output is the companion skill for exact final metric computation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-calibration\u002FSKILL.md",[144],{"categoryNo":83,"categoryName":84,"taxonomyType":20,"taxonomyTypeDesc":21},[146,137,127,126,132,131,128,147,148,31,149],"glm calibration","setup","companion","metric",{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":156,"publishedAt":32},"01M6KM3VHHVSGMGHJQB3PPT6YG","glm-basics","A good starting point for GLM calibration tasks. Use to inspect glm3.nml, confirm how GLM runs, and identify the relevant files before moving on to calibration and output evaluation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-basics\u002FSKILL.md",[],[157,127,131,158,146,137,31,126,159,160,161,162,163,164,128],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]