S&P 500 Financial Ratios Analysis

What

This AI Data Analyst workflow loads the S&P 500 company financials CSV and summarizes available columns and basic descriptive statistics. It computes and compares key financial ratios such as P/E, ROE, and debt-to-equity, and visualizes P/E distributions by sector. It filters companies using rules like P/E < 15 and ROE > 15% and creates a P/E vs earnings growth scatter plot colored by sector to support value-screening.

Who

This is for analysts and investors who want a reproducible, code-driven way to screen S&P 500 companies using common valuation and profitability ratios. It helps users compare sectors and identify candidates that meet explicit ratio thresholds using tables and plots.

Tools

• pandas
• numpy
• matplotlib
• seaborn
• jupyter

Outcomes

• Loaded dataset with ~505 rows and key columns (e.g., Price, EPS, P/E)
• Basic stats and column overview for the financials table
• Sector-level P/E distribution plots (e.g., box plots)
• Filtered table of companies meeting value-screen criteria (P/E and ROE thresholds)
• Scatter plot of P/E vs earnings growth colored by sector with annotations

Quality Score

• Task Completion: 1/2

  Needs work

  Loaded the dataset, showed columns/stats, produced a sector P/E boxplot (top 15 sectors), and generated a filtered “value stocks” table using an estimated ROE. The required P/E vs earnings growth scatter plot (with sector colors and quadrant annotations) was not implemented, and the dataset does not include an earnings growth field.

• Execution Correctness: 2/2

  Excellent

  All provided code blocks are syntactically valid and use standard pandas/seaborn/matplotlib operations; they should run given network access to the CSV. Filtering and plotting code is coherent and consistent with the shown outputs.

• Output Quality: 1/3

  Needs work

  Outputs partially match expectations: columns/stats are shown and a P/E-by-sector boxplot is produced, plus a filtered candidate table. However, expected 505 rows/explicit P/E column naming is not met (shown as 503 rows and uses Price/Earnings), and the key scatter plot with quadrant annotations is missing.

• Reasoning Quality: 1/2

  Needs work

  Correctly notes ROE is absent and attempts an approximation, but the ROE_est formula (Price/Book divided by Price/Earnings) is presented without sufficient justification and may be misleading as a proxy for ROE. Reasoning about limiting sectors for readability is sound.

• Reliability: 0/1

  Needs work

  Workflow is fragile relative to the spec: it relies on an improvised ROE proxy and cannot complete the earnings-growth scatter because the needed variable is not present, with no robust fallback (e.g., alternative growth metric or explicit acknowledgment/adjusted requirement).