kartAI · jathavaan · May 25, 2026 · May 25, 2026
diff --git a/figures/bbox-filtering_large_cost.png b/figures/bbox-filtering_large_cost.png
diff --git a/figures/bbox-filtering_large_cost_breakdown.png b/figures/bbox-filtering_large_cost_breakdown.png
diff --git a/figures/bbox-filtering_large_cost_vs_perf.png b/figures/bbox-filtering_large_cost_vs_perf.png
diff --git a/figures/bbox-filtering_large_cpu.png b/figures/bbox-filtering_large_cpu.png
diff --git a/figures/bbox-filtering_large_cv.png b/figures/bbox-filtering_large_cv.png
diff --git a/figures/bbox-filtering_large_median_bars.png b/figures/bbox-filtering_large_median_bars.png
diff --git a/figures/bbox-filtering_large_network.png b/figures/bbox-filtering_large_network.png
diff --git a/figures/bbox-filtering_large_violin.png b/figures/bbox-filtering_large_violin.png
diff --git a/figures/bbox-filtering_size_scaling.png b/figures/bbox-filtering_size_scaling.png
diff --git a/figures/bbox-filtering_small_cost.png b/figures/bbox-filtering_small_cost.png
diff --git a/figures/bbox-filtering_small_cost_breakdown.png b/figures/bbox-filtering_small_cost_breakdown.png
diff --git a/figures/bbox-filtering_small_cost_vs_perf.png b/figures/bbox-filtering_small_cost_vs_perf.png
diff --git a/figures/bbox-filtering_small_cpu.png b/figures/bbox-filtering_small_cpu.png
diff --git a/figures/bbox-filtering_small_cv.png b/figures/bbox-filtering_small_cv.png
diff --git a/figures/bbox-filtering_small_median_bars.png b/figures/bbox-filtering_small_median_bars.png
diff --git a/figures/bbox-filtering_small_network.png b/figures/bbox-filtering_small_network.png
diff --git a/figures/bbox-filtering_small_violin.png b/figures/bbox-filtering_small_violin.png
diff --git a/figures/coverage_heatmap.png b/figures/coverage_heatmap.png
diff --git a/figures/cross_workload_large.png b/figures/cross_workload_large.png
diff --git a/figures/cross_workload_small.png b/figures/cross_workload_small.png
diff --git a/figures/databricks_metrics.png b/figures/databricks_metrics.png
diff --git a/figures/knn-search_large_cost.png b/figures/knn-search_large_cost.png
diff --git a/figures/knn-search_large_cost_breakdown.png b/figures/knn-search_large_cost_breakdown.png
diff --git a/figures/knn-search_large_cost_vs_perf.png b/figures/knn-search_large_cost_vs_perf.png
diff --git a/figures/knn-search_large_cpu.png b/figures/knn-search_large_cpu.png
diff --git a/figures/knn-search_large_cv.png b/figures/knn-search_large_cv.png
diff --git a/figures/knn-search_large_median_bars.png b/figures/knn-search_large_median_bars.png
diff --git a/figures/knn-search_large_network.png b/figures/knn-search_large_network.png
diff --git a/figures/knn-search_large_violin.png b/figures/knn-search_large_violin.png
diff --git a/figures/knn-search_size_scaling.png b/figures/knn-search_size_scaling.png
diff --git a/figures/knn-search_small_cost.png b/figures/knn-search_small_cost.png
diff --git a/figures/knn-search_small_cost_breakdown.png b/figures/knn-search_small_cost_breakdown.png
diff --git a/figures/knn-search_small_cost_vs_perf.png b/figures/knn-search_small_cost_vs_perf.png
diff --git a/figures/knn-search_small_cpu.png b/figures/knn-search_small_cpu.png
diff --git a/figures/knn-search_small_cv.png b/figures/knn-search_small_cv.png
diff --git a/figures/knn-search_small_median_bars.png b/figures/knn-search_small_median_bars.png
diff --git a/figures/knn-search_small_network.png b/figures/knn-search_small_network.png
diff --git a/figures/knn-search_small_violin.png b/figures/knn-search_small_violin.png
diff --git a/figures/national-scale-spatial-join_large_cost.png b/figures/national-scale-spatial-join_large_cost.png
diff --git a/figures/national-scale-spatial-join_large_cost_breakdown.png b/figures/national-scale-spatial-join_large_cost_breakdown.png
diff --git a/figures/national-scale-spatial-join_large_cost_vs_perf.png b/figures/national-scale-spatial-join_large_cost_vs_perf.png
diff --git a/figures/national-scale-spatial-join_large_cpu.png b/figures/national-scale-spatial-join_large_cpu.png
diff --git a/figures/national-scale-spatial-join_large_cv.png b/figures/national-scale-spatial-join_large_cv.png
diff --git a/figures/national-scale-spatial-join_large_median_bars.png b/figures/national-scale-spatial-join_large_median_bars.png
diff --git a/figures/national-scale-spatial-join_large_network.png b/figures/national-scale-spatial-join_large_network.png
diff --git a/figures/national-scale-spatial-join_large_violin.png b/figures/national-scale-spatial-join_large_violin.png
diff --git a/figures/national-scale-spatial-join_medium_cost.png b/figures/national-scale-spatial-join_medium_cost.png
diff --git a/figures/national-scale-spatial-join_medium_cost_breakdown.png b/figures/national-scale-spatial-join_medium_cost_breakdown.png
diff --git a/figures/national-scale-spatial-join_medium_cost_vs_perf.png b/figures/national-scale-spatial-join_medium_cost_vs_perf.png
diff --git a/figures/national-scale-spatial-join_medium_cpu.png b/figures/national-scale-spatial-join_medium_cpu.png
diff --git a/figures/national-scale-spatial-join_medium_cv.png b/figures/national-scale-spatial-join_medium_cv.png
diff --git a/figures/national-scale-spatial-join_medium_median_bars.png b/figures/national-scale-spatial-join_medium_median_bars.png
diff --git a/figures/national-scale-spatial-join_medium_network.png b/figures/national-scale-spatial-join_medium_network.png
diff --git a/figures/national-scale-spatial-join_medium_violin.png b/figures/national-scale-spatial-join_medium_violin.png
diff --git a/figures/national-scale-spatial-join_size_scaling.png b/figures/national-scale-spatial-join_size_scaling.png
diff --git a/figures/national-scale-spatial-join_small_cost.png b/figures/national-scale-spatial-join_small_cost.png
diff --git a/figures/national-scale-spatial-join_small_cost_breakdown.png b/figures/national-scale-spatial-join_small_cost_breakdown.png
diff --git a/figures/national-scale-spatial-join_small_cost_vs_perf.png b/figures/national-scale-spatial-join_small_cost_vs_perf.png
diff --git a/figures/national-scale-spatial-join_small_cpu.png b/figures/national-scale-spatial-join_small_cpu.png
diff --git a/figures/national-scale-spatial-join_small_cv.png b/figures/national-scale-spatial-join_small_cv.png
diff --git a/figures/national-scale-spatial-join_small_median_bars.png b/figures/national-scale-spatial-join_small_median_bars.png
diff --git a/figures/national-scale-spatial-join_small_network.png b/figures/national-scale-spatial-join_small_network.png
diff --git a/figures/national-scale-spatial-join_small_violin.png b/figures/national-scale-spatial-join_small_violin.png
diff --git a/figures/point-in-polygon-lookup_large_cost.png b/figures/point-in-polygon-lookup_large_cost.png
diff --git a/figures/point-in-polygon-lookup_large_cost_breakdown.png b/figures/point-in-polygon-lookup_large_cost_breakdown.png
diff --git a/figures/point-in-polygon-lookup_large_cost_vs_perf.png b/figures/point-in-polygon-lookup_large_cost_vs_perf.png
diff --git a/figures/point-in-polygon-lookup_large_cpu.png b/figures/point-in-polygon-lookup_large_cpu.png
diff --git a/figures/point-in-polygon-lookup_large_cv.png b/figures/point-in-polygon-lookup_large_cv.png
diff --git a/figures/point-in-polygon-lookup_large_median_bars.png b/figures/point-in-polygon-lookup_large_median_bars.png
diff --git a/figures/point-in-polygon-lookup_large_network.png b/figures/point-in-polygon-lookup_large_network.png
diff --git a/figures/point-in-polygon-lookup_large_violin.png b/figures/point-in-polygon-lookup_large_violin.png
diff --git a/figures/point-in-polygon-lookup_size_scaling.png b/figures/point-in-polygon-lookup_size_scaling.png
diff --git a/figures/point-in-polygon-lookup_small_cost.png b/figures/point-in-polygon-lookup_small_cost.png
diff --git a/figures/point-in-polygon-lookup_small_cost_breakdown.png b/figures/point-in-polygon-lookup_small_cost_breakdown.png
diff --git a/figures/point-in-polygon-lookup_small_cost_vs_perf.png b/figures/point-in-polygon-lookup_small_cost_vs_perf.png
diff --git a/figures/point-in-polygon-lookup_small_cpu.png b/figures/point-in-polygon-lookup_small_cpu.png
diff --git a/figures/point-in-polygon-lookup_small_cv.png b/figures/point-in-polygon-lookup_small_cv.png
diff --git a/figures/point-in-polygon-lookup_small_median_bars.png b/figures/point-in-polygon-lookup_small_median_bars.png
diff --git a/figures/point-in-polygon-lookup_small_network.png b/figures/point-in-polygon-lookup_small_network.png
diff --git a/figures/point-in-polygon-lookup_small_violin.png b/figures/point-in-polygon-lookup_small_violin.png
diff --git a/figures/scaling_curve_large.png b/figures/scaling_curve_large.png
diff --git a/figures/scaling_curve_medium.png b/figures/scaling_curve_medium.png
diff --git a/figures/scaling_curve_small.png b/figures/scaling_curve_small.png
diff --git a/rq1-analysis.ipynb b/rq1-analysis.ipynb
diff --git a/rq2-analysis.ipynb b/rq2-analysis.ipynb
diff --git a/src/analysis/__init__.py b/src/analysis/__init__.py
@@ -1,4 +1,5 @@
 from .loading import (
+    enrich_costs,
     enrich_samples,
     extract_strategy,
     extract_worker_count,
@@ -20,13 +21,15 @@
     LATEX_COLUMN_RENAMES,
     LATEX_INDEX_RENAMES,
     build_consistency_table,
+    build_cost_summary,
     build_cross_pass_table,
     build_descriptive_table,
     build_pairwise_table,
     build_rq1_ranking,
     build_scaling_table,
     compact_descriptive_table,
     format_consistency_table,
+    format_cost_table,
     format_ranking_table,
     split_pairwise_effects,
     split_pairwise_significance,

diff --git a/src/analysis/loading.py b/src/analysis/loading.py
@@ -137,6 +137,27 @@ def enrich_samples(
     return samples_df
 
 
+def enrich_costs(
+    costs_df: pd.DataFrame,
+    experiments: dict[str, dict],
+    workload_types: list[str],
+) -> pd.DataFrame:
+    if costs_df.empty:
+        return costs_df
+
+    parsed = costs_df["query_id"].apply(
+        lambda qid: parse_query_id(qid, experiments, workload_types)
+    )
+    valid = parsed.notna()
+    costs_df = costs_df[valid].copy()
+    parsed = parsed[valid]
+
+    costs_df["workload_type"] = parsed.apply(lambda x: x[0])
+    costs_df["configuration"] = parsed.apply(lambda x: x[1])
+    costs_df["dataset_size"] = parsed.apply(lambda x: x[2])
+    return costs_df
+
+
 def extract_worker_count(config: str) -> int | None:
     m = re.search(r"(\d+)-nodes?", config)
     return int(m.group(1)) if m else None

diff --git a/src/analysis/tables.py b/src/analysis/tables.py
@@ -312,6 +312,72 @@ def _get_headline_median(qid: str, metric: str) -> float | None:
     return table
 
 
+COST_BREAKDOWN_COLS = [
+    "compute_cost",
+    "storage_cost",
+    "network_cost",
+    "operations_cost",
+]
+
+
+def build_cost_summary(
+    costs_df: pd.DataFrame,
+) -> pd.DataFrame:
+    if costs_df.empty:
+        return pd.DataFrame()
+
+    group_keys = ["workload_type", "dataset_size", "configuration"]
+    agg = (
+        costs_df.groupby(group_keys + ["cost_type"])
+        .agg(
+            total_cost=("total_cost", "sum"),
+            compute_cost=("compute_cost", "sum"),
+            storage_cost=("storage_cost", "sum"),
+            network_cost=("network_cost", "sum"),
+            operations_cost=("operations_cost", "sum"),
+        )
+        .reset_index()
+    )
+
+    pivot = agg.pivot_table(
+        index=group_keys,
+        columns="cost_type",
+        values="total_cost",
+        aggfunc="sum",
+        fill_value=0.0,
+    )
+    pivot.columns = [f"cost_{ct}" for ct in pivot.columns]
+    pivot["total_cost"] = pivot.sum(axis=1)
+
+    breakdown = (
+        costs_df.groupby(group_keys)[COST_BREAKDOWN_COLS]
+        .sum()
+    )
+    result = pivot.join(breakdown)
+    return result.sort_index()
+
+
+def format_cost_table(cost_summary: pd.DataFrame) -> pd.DataFrame:
+    if cost_summary.empty:
+        return cost_summary
+    df = cost_summary.copy()
+    df.index = df.index.rename(LATEX_INDEX_RENAMES)
+
+    usd_cols = [c for c in df.columns if "cost" in c]
+    for c in usd_cols:
+        df[c] = df[c].apply(lambda v: f"\\${v:.4f}" if not np.isnan(v) else "---")
+
+    renames = {
+        "total_cost": "Total (USD)",
+        "compute_cost": "Compute",
+        "storage_cost": "Storage",
+        "network_cost": "Network",
+        "operations_cost": "Operations",
+    }
+    df = df.rename(columns={k: v for k, v in renames.items() if k in df.columns})
+    return df
+
+
 # ── LaTeX formatting helpers ───────────────────────────────────────────────
 
 LATEX_COLUMN_RENAMES: dict[str, str] = {

diff --git a/src/plotting/__init__.py b/src/plotting/__init__.py
@@ -1,4 +1,8 @@
 from .charts import (
+    plot_cost_bars,
+    plot_cost_breakdown,
+    plot_cost_performance,
+    plot_coverage_heatmap,
     plot_cpu_breakdown,
     plot_cross_workload,
     plot_cv_iqr,