task_lite_clean_en/108/metadata.json

{
  "absolute_id": 108,
  "persona": "Operations Manager",
  "task": "The company uses the Superstore sales management system, with data scattered across multiple directories. Please combine the sales data of each region under the /Sales Management/Regional Sales Data/ directory, combined with the product catalog in /Sales Management/Product Information/ and the customer information in /Sales Management/Customer Files/, do cross-summarization (sales, profits, number of orders) according to the two dimensions of 'Category×Region' and 'Category×Segment', find out the categories with the highest and lowest profit margins, and analyze the profits of orders with discounts ≥ 50% (whether they are losses), and finally generate a Regional_Sales_Analysis_Report.md is saved to the /Sales Management/ directory.",
  "task_diff": "medium",
  "output_files": [
    "Regional_Sales_Analysis_Report.md"
  ],
  "rubrics": [
    "Is the report file Regional_Sales_Analysis_Report.md successfully generated and fully covering the task requirements: two-dimensional cross-summarization, profit margin extreme analysis, high discount order loss analysis?",
    "Does the Category×Region cross summary table contain 12 cross-groupings (3 Category × 4 Regions) and include three columns of data: sales, profit, and number of orders?",
    "In the Category×Region summary, is the total sales of Furniture in Central approximately equal to 163797, and is the total profit approximately equal to -2871.05?",
    "In the Category×Region summary, is the total number of orders for Technology in West approximately equal to 599, and is the total sales approximately equal to 251992?",
    "Does the Category × Segment cross summary table contain 9 cross groups (3 Category × 3 Segment), and contains three columns of data: sales, profit, and number of orders?",
    "In the Category×Segment summary, is the total profit of Technology in Consumer approximately equal to 70797.8, and is the number of orders approximately equal to 951?",
    "Does the category summary table include a calculated column for profit margin (Profit/Sales)?",
    "Did the report correctly state that the category with the highest profit margin is Technology, with a profit margin of approximately 17.4%?",
    "Is the report correct that the category with the lowest margins is Furniture, which has a margin of about 2.5%?",
    "Are the margins for the Office Supplies category shown in the report to be approximately 17.0%?",
    "Does the report analyze orders with a discount of ≥50% and clearly indicate that the total number of orders is 922?",
    "Did the report correctly calculate that the number of losing orders was 922, and the loss accounted for 100%?",
    "Does the report clearly conclude that orders with a discount of ≥50% are making a loss as a whole?",
    "Does the report list the total order analysis number as 9,994, including three product categories (Furniture, Office Supplies, Technology)?",
    "Does the report list three customer segments (Consumer, Corporate, Home Office) and four regions?",
    "Does the report contain cross-summary tables for both Category×Region and Category×Segment dimensions?",
    "Are the calculations of sales, profits, and order numbers in all cross-summary tables accurate? Are the Markdown table formats clear and complete in dimension?",
    "Is the product category data in the report accurate and free of misclassification?",
    "Is the customer segment grouping data in the report complete and without loss/error?",
    "Does the report compare and analyze the profit performance of orders with a discount of ≥50% and the overall profit level of full orders, and fully present the impact of high discount orders on overall profits?",
    "Is it clearly stated in the report that the unified calculation formula for profit margin is \"profit margin = profit ÷ sales × 100%\", and is the calculation caliber consistent with the analysis requirements?"
  ],
  "rubric_types": [
    "Basic Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Process Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Basic Evaluation",
    "Basic Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Process Evaluation",
    "Process Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation"
  ],
  "file_dep_graph": [
    {
      "from": "Central_sales_2017.csv",
      "to": "product_catalog.json"
    },
    {
      "from": "Central_sales_2017.csv",
      "to": "customer_list.csv"
    },
    {
      "from": "East_sales_2017.csv",
      "to": "product_catalog.json"
    },
    {
      "from": "East_sales_2017.csv",
      "to": "customer_list.csv"
    },
    {
      "from": "South_sales_2017.csv",
      "to": "product_catalog.json"
    },
    {
      "from": "South_sales_2017.csv",
      "to": "customer_list.csv"
    },
    {
      "from": "West_sales_2017.csv",
      "to": "product_catalog.json"
    },
    {
      "from": "West_sales_2017.csv",
      "to": "customer_list.csv"
    },
    {
      "from": "high_discount_orders.csv",
      "to": "Central_sales_2017.csv"
    },
    {
      "from": "high_discount_orders.csv",
      "to": "East_sales_2017.csv"
    },
    {
      "from": "high_discount_orders.csv",
      "to": "South_sales_2017.csv"
    },
    {
      "from": "high_discount_orders.csv",
      "to": "West_sales_2017.csv"
    }
  ],
  "data_manifest": [
    {
      "filename": "product_catalog.json",
      "stored_relpath": "data/product_catalog.json"
    },
    {
      "filename": "customer_list.csv",
      "stored_relpath": "data/customer_list.csv"
    },
    {
      "filename": "Central_sales_2017.csv",
      "stored_relpath": "data/Central_sales_2017.csv"
    },
    {
      "filename": "East_sales_2017.csv",
      "stored_relpath": "data/East_sales_2017.csv"
    },
    {
      "filename": "high_discount_orders.csv",
      "stored_relpath": "data/high_discount_orders.csv"
    },
    {
      "filename": "South_sales_2017.csv",
      "stored_relpath": "data/South_sales_2017.csv"
    },
    {
      "filename": "West_sales_2017.csv",
      "stored_relpath": "data/West_sales_2017.csv"
    }
  ],
  "tested_capabilities": [
    "Workspace Exploration",
    "Result-Providing Files Utilization",
    "Semantic Content Relations Understanding",
    "Heterogeneous File Understanding"
  ]
}