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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'perturbation'}) and 1 missing columns ({'statistic'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ethan1115/lfj-results/CCFM/test_result/ccfm-fusion_differential_perceiver-norman-cascaded-predict_y-gamma_0.5-perturbation_function_crisper-lr_5e-05-dim_model_128-infer_top_gene_1000-split_method_additive-use_mmd_loss_True-fold_1-latent_weight_1.0-choose_latent_p_0.4/iteration_0/results.csv (at revision 907762e368fbe3bd1860859a25a0679af7d862f7), ['hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/test_result/ccfm-fusion_differential_perceiver-norman-cascaded-predict_y-gamma_0.5-perturbation_function_crisper-lr_5e-05-dim_model_128-infer_top_gene_1000-split_method_additive-use_mmd_loss_True-fold_1-latent_weight_1.0-choose_latent_p_0.4/iteration_0/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/test_result/ccfm-fusion_differential_perceiver-norman-cascaded-predict_y-gamma_0.5-perturbation_function_crisper-lr_5e-05-dim_model_128-infer_top_gene_1000-split_method_additive-use_mmd_loss_True-fold_1-latent_weight_1.0-choose_latent_p_0.4/iteration_0/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/result/ccfm-norman-f1-topk30-negTrue-d128-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4-online/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/result/ccfm-norman-f1-topk30-negTrue-d128-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4-online/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/result_joint_generate/ccfm-norman-f1-topk30-negTrue-d128-lr5e-05-lw1.0-lp0.4-online/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/result_joint_generate/ccfm-norman-f1-topk30-negTrue-d128-lr5e-05-lw1.0-lp0.4-online/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM_result/flow-fusion_differential_perceiver-norman-origin-predict_y-gamma_0.5-perturbation_function_crisper-lr_5e-05-dim_model_128-infer_top_gene_1000-split_method_additive-use_mmd_loss_True-fold_1-use_negative_edge_True-topk_30/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM_result/flow-fusion_differential_perceiver-norman-origin-predict_y-gamma_0.5-perturbation_function_crisper-lr_5e-05-dim_model_128-infer_top_gene_1000-split_method_additive-use_mmd_loss_True-fold_1-use_negative_edge_True-topk_30/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A1_baseline/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A1_baseline/eval_only/distributional_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A1_baseline/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A6_dsm_aniso/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A6_dsm_aniso/eval_only/distributional_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A6_dsm_aniso/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/att_svd/svd_baseline/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/att_svd/svd_baseline/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/dense4/dense4-norman-f1-topk30-negTrue-d128-ld4-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/dense4/dense4-norman-f1-topk30-negTrue-d128-ld4-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/dim1_ablation/grn-norman-f1-topk30-negTrue-d512-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4-online-attn_L11/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/dim1_ablation/grn-norman-f1-topk30-negTrue-d512-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4-online-attn_L11/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/scalar/scalar-norman-f1-topk30-negTrue-d128-ld1-lr5e-05-lw1.0-lp0.4-agg_signed_l2-dtk100-ema0.9999-ln-wu2000-rk4/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/scalar/scalar-norman-f1-topk30-negTrue-d128-ld1-lr5e-05-lw1.0-lp0.4-agg_signed_l2-dtk100-ema0.9999-ln-wu2000-rk4/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/scalar/scalar_bs48/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/scalar/scalar_bs48/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/SB/cell-eval-outdir/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/SB/cell-eval-outdir/pred_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/SB/cell-eval-outdir/real_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/SB/cell-eval-outdir/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/dim1_ablation/cell-eval-outdir/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/dim1_ablation/cell-eval-outdir/pred_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/dim1_ablation/cell-eval-outdir/real_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/dim1_ablation/cell-eval-outdir/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_att_only/cell-eval-outdir/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_att_only/cell-eval-outdir/pred_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_att_only/cell-eval-outdir/real_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_att_only/cell-eval-outdir/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_dense4/cell-eval-outdir/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_dense4/cell-eval-outdir/pred_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_dense4/cell-eval-outdir/real_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_dense4/cell-eval-outdir/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_scalar/cell-eval-outdir/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_scalar/cell-eval-outdir/pred_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_scalar/cell-eval-outdir/real_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_scalar/cell-eval-outdir/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_svd/cell-eval-outdir/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_svd/cell-eval-outdir/pred_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_svd/cell-eval-outdir/real_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_svd/cell-eval-outdir/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_svd_cross/cell-eval-outdir/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_svd_cross/cell-eval-outdir/pred_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_svd_cross/cell-eval-outdir/real_de.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/grn_svd_cross/cell-eval-outdir/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM_result/evaluation/job2_ccfm_v1_iter110000/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM_result/evaluation/job2_ccfm_v1_iter110000/results.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
perturbation: string
overlap_at_N: double
overlap_at_50: double
overlap_at_100: double
overlap_at_200: double
overlap_at_500: double
precision_at_N: double
precision_at_50: double
precision_at_100: double
precision_at_200: double
precision_at_500: double
de_spearman_sig: double
de_direction_match: double
de_spearman_lfc_sig: double
de_sig_genes_recall: double
de_nsig_counts_real: double
de_nsig_counts_pred: double
pr_auc: double
roc_auc: double
pearson_delta: double
mse: double
mae: double
mse_delta: double
mae_delta: double
discrimination_score_l1: double
discrimination_score_l2: double
discrimination_score_cosine: double
pearson_edistance: double
clustering_agreement: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4038
to
{'statistic': Value('string'), 'overlap_at_N': Value('float64'), 'overlap_at_50': Value('float64'), 'overlap_at_100': Value('float64'), 'overlap_at_200': Value('float64'), 'overlap_at_500': Value('float64'), 'precision_at_N': Value('float64'), 'precision_at_50': Value('float64'), 'precision_at_100': Value('float64'), 'precision_at_200': Value('float64'), 'precision_at_500': Value('float64'), 'de_spearman_sig': Value('float64'), 'de_direction_match': Value('float64'), 'de_spearman_lfc_sig': Value('float64'), 'de_sig_genes_recall': Value('float64'), 'de_nsig_counts_real': Value('float64'), 'de_nsig_counts_pred': Value('float64'), 'pr_auc': Value('float64'), 'roc_auc': Value('float64'), 'pearson_delta': Value('float64'), 'mse': Value('float64'), 'mae': Value('float64'), 'mse_delta': Value('float64'), 'mae_delta': Value('float64'), 'discrimination_score_l1': Value('float64'), 'discrimination_score_l2': Value('float64'), 'discrimination_score_cosine': Value('float64'), 'pearson_edistance': Value('float64'), 'clustering_agreement': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'perturbation'}) and 1 missing columns ({'statistic'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ethan1115/lfj-results/CCFM/test_result/ccfm-fusion_differential_perceiver-norman-cascaded-predict_y-gamma_0.5-perturbation_function_crisper-lr_5e-05-dim_model_128-infer_top_gene_1000-split_method_additive-use_mmd_loss_True-fold_1-latent_weight_1.0-choose_latent_p_0.4/iteration_0/results.csv (at revision 907762e368fbe3bd1860859a25a0679af7d862f7), ['hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/test_result/ccfm-fusion_differential_perceiver-norman-cascaded-predict_y-gamma_0.5-perturbation_function_crisper-lr_5e-05-dim_model_128-infer_top_gene_1000-split_method_additive-use_mmd_loss_True-fold_1-latent_weight_1.0-choose_latent_p_0.4/iteration_0/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/test_result/ccfm-fusion_differential_perceiver-norman-cascaded-predict_y-gamma_0.5-perturbation_function_crisper-lr_5e-05-dim_model_128-infer_top_gene_1000-split_method_additive-use_mmd_loss_True-fold_1-latent_weight_1.0-choose_latent_p_0.4/iteration_0/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/result/ccfm-norman-f1-topk30-negTrue-d128-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4-online/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/result/ccfm-norman-f1-topk30-negTrue-d128-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4-online/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/result_joint_generate/ccfm-norman-f1-topk30-negTrue-d128-lr5e-05-lw1.0-lp0.4-online/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM/result_joint_generate/ccfm-norman-f1-topk30-negTrue-d128-lr5e-05-lw1.0-lp0.4-online/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM_result/flow-fusion_differential_perceiver-norman-origin-predict_y-gamma_0.5-perturbation_function_crisper-lr_5e-05-dim_model_128-infer_top_gene_1000-split_method_additive-use_mmd_loss_True-fold_1-use_negative_edge_True-topk_30/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/CCFM_result/flow-fusion_differential_perceiver-norman-origin-predict_y-gamma_0.5-perturbation_function_crisper-lr_5e-05-dim_model_128-infer_top_gene_1000-split_method_additive-use_mmd_loss_True-fold_1-use_negative_edge_True-topk_30/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A1_baseline/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A1_baseline/eval_only/distributional_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A1_baseline/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A6_dsm_aniso/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A6_dsm_aniso/eval_only/distributional_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/SB/A6_dsm_aniso/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/att_svd/svd_baseline/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/att_svd/svd_baseline/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/dense4/dense4-norman-f1-topk30-negTrue-d128-ld4-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/dense4/dense4-norman-f1-topk30-negTrue-d128-ld4-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4/eval_only/results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/dim1_ablation/grn-norman-f1-topk30-negTrue-d512-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4-online-attn_L11/eval_only/agg_results.csv', 'hf://datasets/ethan1115/lfj-results@907762e368fbe3bd1860859a25a0679af7d862f7/GRN/result/dim1_ablation/grn-norman-f1-topk30-negTrue-d512-lr5e-05-lw1.0-lp0.4-ema0.9999-ln-wu2000-rk4-online-attn_L11/eval_only/results.csv', 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Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
statistic string | overlap_at_N float64 | overlap_at_50 float64 | overlap_at_100 float64 | overlap_at_200 float64 | overlap_at_500 float64 | precision_at_N float64 | precision_at_50 float64 | precision_at_100 float64 | precision_at_200 float64 | precision_at_500 float64 | de_spearman_sig float64 | de_direction_match float64 | de_spearman_lfc_sig float64 | de_sig_genes_recall float64 | de_nsig_counts_real float64 | de_nsig_counts_pred float64 | pr_auc float64 | roc_auc float64 | pearson_delta float64 | mse float64 | mae float64 | mse_delta float64 | mae_delta float64 | discrimination_score_l1 float64 | discrimination_score_l2 float64 | discrimination_score_cosine float64 | pearson_edistance float64 | clustering_agreement float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
count | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 |
null_count | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
mean | 0.069109 | 0.065192 | 0.069796 | 0.069945 | 0.069109 | 0.133775 | 0.064615 | 0.069744 | 0.065897 | 0.07041 | -0.059892 | 0.750071 | 0.720879 | 0.954451 | 137.897436 | 987.051282 | 0.188312 | 0.499593 | -0.096062 | 0.388583 | 0.47249 | 0.388583 | 0.47249 | 0.548323 | 0.538462 | 0.521368 | 0.231839 | 0.03863 |
std | 0.054206 | 0.048492 | 0.05419 | 0.057968 | 0.054206 | 0.072276 | 0.048658 | 0.054168 | 0.057912 | 0.055367 | 0 | 0.085558 | 0.12056 | 0.023489 | 72.75872 | 4.844686 | 0.077714 | 0.033622 | 0.114249 | 0.168462 | 0.178637 | 0.168462 | 0.178637 | 0.254624 | 0.252466 | 0.277745 | 0 | 0 |
min | 0 | 0 | 0 | 0 | 0 | 0.032389 | 0 | 0 | 0.005 | 0.02 | -0.059892 | 0.586538 | 0.446762 | 0.878261 | 32 | 967 | 0.030051 | 0.422402 | -0.267735 | 0.217028 | 0.185486 | 0.217028 | 0.185486 | 0.025641 | 0.025641 | 0.025641 | 0.231839 | 0.03863 |
25% | 0.040816 | 0.02 | 0.04 | 0.040816 | 0.040816 | 0.096349 | 0.02 | 0.04 | 0.04 | 0.042 | -0.059892 | 0.680412 | 0.647878 | 0.938931 | 103 | 986 | 0.150815 | 0.481186 | -0.157181 | 0.262785 | 0.343402 | 0.262785 | 0.343402 | 0.384615 | 0.358974 | 0.282051 | 0.231839 | 0.03863 |
50% | 0.061856 | 0.06 | 0.05814 | 0.061856 | 0.061856 | 0.114141 | 0.06 | 0.06 | 0.05 | 0.056 | -0.059892 | 0.757143 | 0.751735 | 0.957746 | 117 | 988 | 0.178678 | 0.505713 | -0.107813 | 0.33591 | 0.435263 | 0.33591 | 0.435263 | 0.512821 | 0.564103 | 0.564103 | 0.231839 | 0.03863 |
75% | 0.080645 | 0.1 | 0.09 | 0.080645 | 0.080645 | 0.15439 | 0.1 | 0.09 | 0.075 | 0.08 | -0.059892 | 0.825581 | 0.827924 | 0.972222 | 158 | 990 | 0.209079 | 0.51662 | -0.046165 | 0.441381 | 0.577157 | 0.441381 | 0.577157 | 0.717949 | 0.74359 | 0.692308 | 0.231839 | 0.03863 |
max | 0.266319 | 0.16 | 0.26 | 0.305 | 0.266319 | 0.379276 | 0.16 | 0.26 | 0.305 | 0.27 | -0.059892 | 0.905882 | 0.88578 | 1 | 384 | 994 | 0.417199 | 0.560691 | 0.335094 | 0.877564 | 0.896198 | 0.877564 | 0.896198 | 1 | 1 | 1 | 0.231839 | 0.03863 |
null | 0.116822 | 0.16 | 0.16 | 0.12 | 0.116822 | 0.208925 | 0.16 | 0.16 | 0.12 | 0.114 | -0.059892 | 0.808411 | 0.806304 | 0.962617 | 214 | 986 | 0.272866 | 0.510068 | -0.046165 | 0.441381 | 0.569139 | 0.441381 | 0.569139 | 0.846154 | 0.564103 | 0.897436 | 0.231839 | 0.03863 |
null | 0.114286 | 0.14 | 0.12 | 0.114286 | 0.114286 | 0.134084 | 0.14 | 0.12 | 0.1 | 0.078 | -0.059892 | 0.728571 | 0.769341 | 0.935714 | 140 | 977 | 0.169491 | 0.499585 | -0.229589 | 0.238161 | 0.232185 | 0.238161 | 0.232185 | 0.282051 | 0.358974 | 0.102564 | 0.231839 | 0.03863 |
null | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.0625 | 0.032389 | 0.04 | 0.03 | 0.04 | 0.04 | -0.059892 | 0.84375 | 0.841613 | 1 | 32 | 988 | 0.030051 | 0.462067 | 0.078795 | 0.287585 | 0.408653 | 0.287585 | 0.408653 | 0.717949 | 0.948718 | 0.794872 | 0.231839 | 0.03863 |
null | 0.045455 | 0.08 | 0.05 | 0.045455 | 0.045455 | 0.106963 | 0.08 | 0.05 | 0.05 | 0.042 | -0.059892 | 0.709091 | 0.659865 | 0.963636 | 110 | 991 | 0.122318 | 0.470797 | -0.162003 | 0.296894 | 0.383047 | 0.296894 | 0.383047 | 0.358974 | 0.333333 | 0.25641 | 0.231839 | 0.03863 |
null | 0.038462 | 0.04 | 0.04 | 0.038462 | 0.038462 | 0.096349 | 0.04 | 0.04 | 0.04 | 0.046 | -0.059892 | 0.586538 | 0.446762 | 0.913462 | 104 | 986 | 0.218785 | 0.521291 | -0.162086 | 0.33591 | 0.435263 | 0.33591 | 0.435263 | 0.128205 | 0.179487 | 0.179487 | 0.231839 | 0.03863 |
null | 0.042105 | 0.06 | 0.042105 | 0.042105 | 0.042105 | 0.090081 | 0.06 | 0.04 | 0.045 | 0.042 | -0.059892 | 0.621053 | 0.51754 | 0.936842 | 95 | 988 | 0.130321 | 0.439145 | -0.094411 | 0.26069 | 0.329949 | 0.26069 | 0.329949 | 0.564103 | 0.564103 | 0.435897 | 0.231839 | 0.03863 |
null | 0.027397 | 0.04 | 0.027397 | 0.027397 | 0.027397 | 0.070994 | 0.04 | 0.02 | 0.025 | 0.034 | -0.059892 | 0.657534 | 0.667325 | 0.958904 | 73 | 986 | 0.137435 | 0.560691 | -0.093798 | 0.354247 | 0.482202 | 0.354247 | 0.482202 | 0.384615 | 0.615385 | 0.410256 | 0.231839 | 0.03863 |
null | 0 | 0 | 0 | 0 | 0 | 0.045547 | 0 | 0 | 0.005 | 0.03 | -0.059892 | 0.744681 | 0.830712 | 0.957447 | 47 | 988 | 0.058849 | 0.486616 | -0.139222 | 0.250035 | 0.292582 | 0.250035 | 0.292582 | 0.435897 | 0.512821 | 0.358974 | 0.231839 | 0.03863 |
null | 0.082192 | 0.14 | 0.11 | 0.082192 | 0.082192 | 0.138071 | 0.14 | 0.11 | 0.07 | 0.058 | -0.059892 | 0.630137 | 0.537396 | 0.931507 | 146 | 985 | 0.177406 | 0.429486 | -0.104684 | 0.248751 | 0.25191 | 0.248751 | 0.25191 | 0.307692 | 0.205128 | 0.461538 | 0.231839 | 0.03863 |
null | 0.038835 | 0.02 | 0.04 | 0.038835 | 0.038835 | 0.102434 | 0.02 | 0.04 | 0.035 | 0.066 | -0.059892 | 0.834951 | 0.88578 | 0.980583 | 103 | 986 | 0.152991 | 0.546931 | -0.122088 | 0.372694 | 0.499199 | 0.372694 | 0.499199 | 0.666667 | 0.666667 | 0.461538 | 0.231839 | 0.03863 |
null | 0.027273 | 0.02 | 0.01 | 0.027273 | 0.027273 | 0.107549 | 0.02 | 0.01 | 0.04 | 0.08 | -0.059892 | 0.781818 | 0.882244 | 0.945455 | 110 | 967 | 0.163226 | 0.521808 | -0.097089 | 0.217028 | 0.185486 | 0.217028 | 0.185486 | 0.666667 | 0.74359 | 0.641026 | 0.231839 | 0.03863 |
null | 0.266319 | 0.16 | 0.26 | 0.305 | 0.266319 | 0.379276 | 0.16 | 0.26 | 0.305 | 0.27 | -0.059892 | 0.89295 | 0.811319 | 0.984334 | 383 | 994 | 0.407072 | 0.50227 | -0.032169 | 0.727034 | 0.780878 | 0.727034 | 0.780878 | 0.974359 | 0.641026 | 0.974359 | 0.231839 | 0.03863 |
null | 0.095238 | 0.06 | 0.06 | 0.095238 | 0.095238 | 0.144016 | 0.06 | 0.06 | 0.095 | 0.094 | -0.059892 | 0.836735 | 0.876499 | 0.965986 | 147 | 986 | 0.189042 | 0.514917 | -0.110456 | 0.312821 | 0.431451 | 0.312821 | 0.431451 | 0.948718 | 0.794872 | 0.692308 | 0.231839 | 0.03863 |
null | 0.078261 | 0.12 | 0.09 | 0.078261 | 0.078261 | 0.114141 | 0.12 | 0.09 | 0.065 | 0.054 | -0.059892 | 0.765217 | 0.818073 | 0.982609 | 115 | 990 | 0.181819 | 0.557323 | -0.038667 | 0.335951 | 0.469919 | 0.335951 | 0.469919 | 0.692308 | 0.820513 | 0.769231 | 0.231839 | 0.03863 |
null | 0.080645 | 0.12 | 0.09 | 0.080645 | 0.080645 | 0.182644 | 0.12 | 0.09 | 0.075 | 0.066 | -0.059892 | 0.77957 | 0.629244 | 0.973118 | 186 | 991 | 0.259511 | 0.509511 | -0.26413 | 0.707596 | 0.77043 | 0.707596 | 0.77043 | 0.307692 | 0.051282 | 0.205128 | 0.231839 | 0.03863 |
null | 0.065789 | 0.02 | 0.05 | 0.065789 | 0.065789 | 0.148185 | 0.02 | 0.05 | 0.08 | 0.072 | -0.059892 | 0.769737 | 0.752003 | 0.967105 | 152 | 992 | 0.208719 | 0.498437 | -0.173544 | 0.582322 | 0.687878 | 0.582322 | 0.687878 | 0.717949 | 0.333333 | 0.512821 | 0.231839 | 0.03863 |
null | 0.156863 | 0.16 | 0.13 | 0.145 | 0.156863 | 0.250758 | 0.16 | 0.13 | 0.145 | 0.192 | -0.059892 | 0.905882 | 0.848307 | 0.972549 | 255 | 989 | 0.285735 | 0.509599 | -0.069564 | 0.5104 | 0.622622 | 0.5104 | 0.622622 | 0.974359 | 0.538462 | 0.923077 | 0.231839 | 0.03863 |
null | 0.064286 | 0.08 | 0.08 | 0.064286 | 0.064286 | 0.134479 | 0.08 | 0.08 | 0.055 | 0.088 | -0.059892 | 0.757143 | 0.883271 | 0.95 | 140 | 989 | 0.158657 | 0.465702 | -0.116031 | 0.245798 | 0.315524 | 0.245798 | 0.315524 | 0.564103 | 0.769231 | 0.666667 | 0.231839 | 0.03863 |
null | 0.0625 | 0.02 | 0.0625 | 0.0625 | 0.0625 | 0.093939 | 0.02 | 0.07 | 0.045 | 0.048 | -0.059892 | 0.677083 | 0.666165 | 0.96875 | 96 | 990 | 0.189192 | 0.514611 | -0.201168 | 0.292704 | 0.388257 | 0.292704 | 0.388257 | 0.384615 | 0.538462 | 0.102564 | 0.231839 | 0.03863 |
null | 0.247396 | 0.06 | 0.22 | 0.25 | 0.247396 | 0.37665 | 0.06 | 0.22 | 0.25 | 0.262 | -0.059892 | 0.893229 | 0.782653 | 0.966146 | 384 | 985 | 0.417199 | 0.508544 | -0.061162 | 0.38319 | 0.500243 | 0.38319 | 0.500243 | 0.897436 | 0.487179 | 0.948718 | 0.231839 | 0.03863 |
null | 0.053435 | 0.02 | 0.04 | 0.053435 | 0.053435 | 0.126646 | 0.02 | 0.04 | 0.075 | 0.06 | -0.059892 | 0.740458 | 0.765433 | 0.954198 | 131 | 987 | 0.209079 | 0.531909 | -0.257468 | 0.395816 | 0.503067 | 0.395816 | 0.503067 | 0.051282 | 0.102564 | 0.128205 | 0.231839 | 0.03863 |
null | 0.075949 | 0.06 | 0.07 | 0.075949 | 0.075949 | 0.15439 | 0.06 | 0.07 | 0.07 | 0.082 | -0.059892 | 0.892405 | 0.866107 | 0.968354 | 158 | 991 | 0.168332 | 0.481186 | -0.191877 | 0.587063 | 0.697454 | 0.587063 | 0.697454 | 0.897436 | 0.692308 | 0.692308 | 0.231839 | 0.03863 |
null | 0.019481 | 0.04 | 0.02 | 0.019481 | 0.019481 | 0.151362 | 0.04 | 0.02 | 0.02 | 0.062 | -0.059892 | 0.779221 | 0.647878 | 0.974026 | 154 | 991 | 0.200929 | 0.508635 | 0.018037 | 0.877564 | 0.896198 | 0.877564 | 0.896198 | 0.487179 | 0.666667 | 0.666667 | 0.231839 | 0.03863 |
null | 0.064815 | 0.1 | 0.07 | 0.064815 | 0.064815 | 0.105954 | 0.1 | 0.07 | 0.045 | 0.034 | -0.059892 | 0.731481 | 0.660966 | 0.972222 | 108 | 991 | 0.165521 | 0.50601 | -0.211656 | 0.572255 | 0.665331 | 0.572255 | 0.665331 | 0.025641 | 0.025641 | 0.076923 | 0.231839 | 0.03863 |
null | 0.014085 | 0.02 | 0.014085 | 0.014085 | 0.014085 | 0.06841 | 0.02 | 0.04 | 0.02 | 0.02 | -0.059892 | 0.647887 | 0.58547 | 0.957746 | 71 | 994 | 0.100724 | 0.478282 | 0.13543 | 0.707515 | 0.7927 | 0.707515 | 0.7927 | 0.461538 | 0.769231 | 0.692308 | 0.231839 | 0.03863 |
null | 0.052632 | 0.02 | 0.052632 | 0.052632 | 0.052632 | 0.053644 | 0.02 | 0.06 | 0.04 | 0.022 | -0.059892 | 0.789474 | 0.702143 | 0.929825 | 57 | 988 | 0.106817 | 0.507098 | 0.335094 | 0.429539 | 0.577157 | 0.429539 | 0.577157 | 0.717949 | 1 | 1 | 0.231839 | 0.03863 |
null | 0.05814 | 0.06 | 0.05814 | 0.05814 | 0.05814 | 0.082828 | 0.06 | 0.06 | 0.05 | 0.04 | -0.059892 | 0.825581 | 0.791314 | 0.953488 | 86 | 990 | 0.105162 | 0.484746 | 0.037886 | 0.681709 | 0.776046 | 0.681709 | 0.776046 | 0.435897 | 0.769231 | 0.615385 | 0.231839 | 0.03863 |
null | 0.067073 | 0.04 | 0.08 | 0.067073 | 0.067073 | 0.157895 | 0.04 | 0.08 | 0.07 | 0.064 | -0.059892 | 0.762195 | 0.751735 | 0.95122 | 164 | 988 | 0.241582 | 0.497991 | -0.267735 | 0.318637 | 0.404103 | 0.318637 | 0.404103 | 0.307692 | 0.128205 | 0.025641 | 0.231839 | 0.03863 |
null | 0.040816 | 0.02 | 0.040816 | 0.040816 | 0.040816 | 0.090172 | 0.02 | 0.04 | 0.03 | 0.044 | -0.059892 | 0.642857 | 0.5386 | 0.908163 | 98 | 987 | 0.200276 | 0.505713 | -0.151624 | 0.274617 | 0.343402 | 0.274617 | 0.343402 | 0.435897 | 0.435897 | 0.205128 | 0.231839 | 0.03863 |
null | 0.06087 | 0.04 | 0.03 | 0.06087 | 0.06087 | 0.103378 | 0.04 | 0.03 | 0.055 | 0.064 | -0.059892 | 0.678261 | 0.561946 | 0.878261 | 115 | 977 | 0.146107 | 0.422402 | -0.151668 | 0.244116 | 0.236195 | 0.244116 | 0.236195 | 0.384615 | 0.307692 | 0.282051 | 0.231839 | 0.03863 |
null | 0.087179 | 0.12 | 0.13 | 0.087179 | 0.087179 | 0.193516 | 0.12 | 0.13 | 0.085 | 0.084 | -0.059892 | 0.764103 | 0.733008 | 0.979487 | 195 | 987 | 0.245227 | 0.51662 | -0.142568 | 0.354326 | 0.475028 | 0.354326 | 0.475028 | 0.487179 | 0.512821 | 0.589744 | 0.231839 | 0.03863 |
null | 0.098361 | 0.16 | 0.11 | 0.098361 | 0.098361 | 0.115736 | 0.16 | 0.11 | 0.075 | 0.046 | -0.059892 | 0.721311 | 0.718117 | 0.934426 | 122 | 985 | 0.155208 | 0.495346 | -0.157181 | 0.338472 | 0.453227 | 0.338472 | 0.453227 | 0.538462 | 0.435897 | 0.282051 | 0.231839 | 0.03863 |
null | 0.027523 | 0.06 | 0.03 | 0.027523 | 0.027523 | 0.105477 | 0.06 | 0.03 | 0.02 | 0.05 | -0.059892 | 0.688073 | 0.696251 | 0.954128 | 109 | 986 | 0.179787 | 0.503763 | -0.107813 | 0.260462 | 0.305124 | 0.260462 | 0.305124 | 0.512821 | 0.333333 | 0.538462 | 0.231839 | 0.03863 |
null | 0.018519 | 0.04 | 0.03 | 0.018519 | 0.018519 | 0.158698 | 0.04 | 0.03 | 0.015 | 0.028 | -0.059892 | 0.666667 | 0.506847 | 0.962963 | 162 | 983 | 0.312705 | 0.560579 | -0.023126 | 0.390705 | 0.521442 | 0.390705 | 0.521442 | 0.384615 | 0.615385 | 0.641026 | 0.231839 | 0.03863 |
null | 0.055046 | 0.04 | 0.05 | 0.055046 | 0.055046 | 0.103134 | 0.04 | 0.05 | 0.045 | 0.038 | -0.059892 | 0.605505 | 0.646203 | 0.93578 | 109 | 989 | 0.178678 | 0.472112 | -0.080719 | 0.262785 | 0.349602 | 0.262785 | 0.349602 | 0.538462 | 0.74359 | 0.615385 | 0.231839 | 0.03863 |
null | 0.068376 | 0.06 | 0.07 | 0.068376 | 0.068376 | 0.111336 | 0.06 | 0.07 | 0.04 | 0.056 | -0.059892 | 0.735043 | 0.764094 | 0.940171 | 117 | 988 | 0.150815 | 0.466073 | -0.090456 | 0.260544 | 0.333322 | 0.260544 | 0.333322 | 0.538462 | 0.589744 | 0.564103 | 0.231839 | 0.03863 |
null | 0.015267 | 0 | 0.01 | 0.015267 | 0.015267 | 0.125 | 0 | 0.01 | 0.035 | 0.05 | -0.059892 | 0.832061 | 0.830429 | 0.938931 | 131 | 984 | 0.190638 | 0.534395 | -0.101324 | 0.245388 | 0.319313 | 0.245388 | 0.319313 | 0.897436 | 0.820513 | 0.666667 | 0.231839 | 0.03863 |
null | 0.061856 | 0.02 | 0.061856 | 0.061856 | 0.061856 | 0.092105 | 0.02 | 0.06 | 0.035 | 0.03 | -0.059892 | 0.680412 | 0.607394 | 0.938144 | 97 | 988 | 0.148702 | 0.445194 | -0.11188 | 0.288681 | 0.377211 | 0.288681 | 0.377211 | 0.461538 | 0.461538 | 0.358974 | 0.231839 | 0.03863 |
null | 0.04321 | 0.06 | 0.05 | 0.04321 | 0.04321 | 0.160081 | 0.06 | 0.05 | 0.06 | 0.096 | -0.059892 | 0.845679 | 0.827924 | 0.975309 | 162 | 987 | 0.207207 | 0.536683 | 0.013448 | 0.263342 | 0.364383 | 0.263342 | 0.364383 | 1 | 0.923077 | 0.897436 | 0.231839 | 0.03863 |
count | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 |
null_count | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
mean | 0.074341 | 0.071571 | 0.076046 | 0.074967 | 0.074341 | 0.130888 | 0.071795 | 0.076667 | 0.074359 | 0.067795 | -0.200083 | 0.729431 | 0.729673 | 0.927363 | 137.897436 | 982.564103 | 0.23831 | 0.524715 | -0.115153 | 0.04573 | 0.060467 | 0.04573 | 0.060467 | 0.517423 | 0.51545 | 0.518738 | -0.031642 | 0.099806 |
std | 0.06539 | 0.048451 | 0.066596 | 0.066756 | 0.06539 | 0.071851 | 0.048279 | 0.066187 | 0.065616 | 0.06212 | 0 | 0.053198 | 0.081486 | 0.021781 | 72.75872 | 2.173947 | 0.070758 | 0.024027 | 0.131998 | 0.018615 | 0.013576 | 0.018615 | 0.013576 | 0.29329 | 0.291036 | 0.288927 | 0 | 0 |
min | 0 | 0 | 0 | 0 | 0 | 0.031472 | 0 | 0 | 0.005 | 0.014 | -0.200083 | 0.633028 | 0.555741 | 0.864583 | 32 | 976 | 0.051614 | 0.487011 | -0.31588 | 0.02171 | 0.048 | 0.02171 | 0.048 | 0.025641 | 0.025641 | 0.025641 | -0.031642 | 0.099806 |
25% | 0.040816 | 0.04 | 0.04 | 0.040816 | 0.040816 | 0.096939 | 0.04 | 0.04 | 0.045 | 0.04 | -0.200083 | 0.687023 | 0.679291 | 0.917808 | 103 | 981 | 0.19439 | 0.511001 | -0.198779 | 0.036051 | 0.054247 | 0.036051 | 0.054247 | 0.282051 | 0.307692 | 0.282051 | -0.031642 | 0.099806 |
50% | 0.048544 | 0.06 | 0.05 | 0.048544 | 0.048544 | 0.109868 | 0.06 | 0.05 | 0.055 | 0.05 | -0.200083 | 0.721154 | 0.746758 | 0.923077 | 117 | 983 | 0.232795 | 0.51869 | -0.143761 | 0.042385 | 0.056592 | 0.042385 | 0.056592 | 0.487179 | 0.512821 | 0.538462 | -0.031642 | 0.099806 |
75% | 0.088608 | 0.1 | 0.1 | 0.088608 | 0.088608 | 0.150615 | 0.1 | 0.1 | 0.08 | 0.072 | -0.200083 | 0.75 | 0.793478 | 0.938931 | 158 | 984 | 0.276508 | 0.539463 | -0.035679 | 0.053947 | 0.060919 | 0.053947 | 0.060919 | 0.769231 | 0.74359 | 0.769231 | -0.031642 | 0.099806 |
max | 0.320313 | 0.2 | 0.31 | 0.325 | 0.320313 | 0.377416 | 0.2 | 0.31 | 0.325 | 0.318 | -0.200083 | 0.856771 | 0.868395 | 0.975309 | 384 | 986 | 0.439698 | 0.597669 | 0.309816 | 0.117255 | 0.116379 | 0.117255 | 0.116379 | 1 | 1 | 1 | -0.031642 | 0.099806 |
null | 0.14486 | 0.18 | 0.14 | 0.145 | 0.14486 | 0.207107 | 0.18 | 0.14 | 0.145 | 0.104 | -0.200083 | 0.78972 | 0.80731 | 0.953271 | 214 | 985 | 0.299453 | 0.512625 | -0.036615 | 0.062215 | 0.07498 | 0.062215 | 0.07498 | 0.102564 | 0.153846 | 0.717949 | -0.031642 | 0.099806 |
null | 0.107143 | 0.16 | 0.1 | 0.107143 | 0.107143 | 0.131098 | 0.16 | 0.1 | 0.095 | 0.068 | -0.200083 | 0.671429 | 0.760594 | 0.921429 | 140 | 984 | 0.220433 | 0.496221 | -0.299367 | 0.04578 | 0.059631 | 0.04578 | 0.059631 | 0.307692 | 0.410256 | 0.076923 | -0.031642 | 0.099806 |
null | 0.03125 | 0.03125 | 0.03125 | 0.03125 | 0.03125 | 0.031472 | 0.04 | 0.04 | 0.045 | 0.034 | -0.200083 | 0.8125 | 0.83978 | 0.96875 | 32 | 985 | 0.051614 | 0.54426 | 0.000464 | 0.025392 | 0.048 | 0.025392 | 0.048 | 0.948718 | 0.948718 | 0.846154 | -0.031642 | 0.099806 |
null | 0.054545 | 0.02 | 0.06 | 0.054545 | 0.054545 | 0.104082 | 0.02 | 0.06 | 0.05 | 0.046 | -0.200083 | 0.718182 | 0.679291 | 0.927273 | 110 | 980 | 0.179021 | 0.511001 | -0.230735 | 0.045501 | 0.055509 | 0.045501 | 0.055509 | 0.487179 | 0.384615 | 0.205128 | -0.031642 | 0.099806 |
null | 0.048077 | 0.08 | 0.05 | 0.048077 | 0.048077 | 0.097363 | 0.08 | 0.05 | 0.045 | 0.03 | -0.200083 | 0.721154 | 0.55917 | 0.923077 | 104 | 986 | 0.264038 | 0.529404 | -0.232749 | 0.058622 | 0.060364 | 0.058622 | 0.060364 | 0.410256 | 0.25641 | 0.205128 | -0.031642 | 0.099806 |
null | 0.042105 | 0.06 | 0.042105 | 0.042105 | 0.042105 | 0.089522 | 0.06 | 0.04 | 0.04 | 0.03 | -0.200083 | 0.768421 | 0.555741 | 0.926316 | 95 | 983 | 0.243154 | 0.555231 | -0.143761 | 0.0394 | 0.053452 | 0.0394 | 0.053452 | 0.769231 | 0.589744 | 0.589744 | -0.031642 | 0.099806 |
null | 0.041096 | 0.06 | 0.041096 | 0.041096 | 0.041096 | 0.068159 | 0.06 | 0.05 | 0.06 | 0.036 | -0.200083 | 0.684932 | 0.619562 | 0.917808 | 73 | 983 | 0.16559 | 0.539463 | -0.205602 | 0.043046 | 0.054979 | 0.043046 | 0.054979 | 0.74359 | 0.666667 | 0.435897 | -0.031642 | 0.099806 |
null | 0 | 0 | 0 | 0 | 0 | 0.043699 | 0 | 0 | 0.005 | 0.014 | -0.200083 | 0.702128 | 0.793478 | 0.914894 | 47 | 984 | 0.146965 | 0.548012 | -0.181613 | 0.042385 | 0.057643 | 0.042385 | 0.057643 | 0.564103 | 0.487179 | 0.282051 | -0.031642 | 0.099806 |
null | 0.082192 | 0.14 | 0.08 | 0.082192 | 0.082192 | 0.138071 | 0.14 | 0.08 | 0.06 | 0.05 | -0.200083 | 0.746575 | 0.642122 | 0.931507 | 146 | 985 | 0.299978 | 0.532153 | -0.157864 | 0.059877 | 0.058686 | 0.059877 | 0.058686 | 0.461538 | 0.205128 | 0.487179 | -0.031642 | 0.099806 |
null | 0.048544 | 0.04 | 0.05 | 0.048544 | 0.048544 | 0.096939 | 0.04 | 0.05 | 0.055 | 0.05 | -0.200083 | 0.718447 | 0.807209 | 0.92233 | 103 | 980 | 0.169484 | 0.516208 | -0.199378 | 0.037692 | 0.057289 | 0.037692 | 0.057289 | 0.435897 | 0.615385 | 0.333333 | -0.031642 | 0.099806 |
null | 0.054545 | 0.06 | 0.06 | 0.054545 | 0.054545 | 0.104888 | 0.06 | 0.06 | 0.05 | 0.046 | -0.200083 | 0.745455 | 0.814908 | 0.936364 | 110 | 982 | 0.186388 | 0.529637 | -0.1609 | 0.037724 | 0.055244 | 0.037724 | 0.055244 | 0.641026 | 0.692308 | 0.358974 | -0.031642 | 0.099806 |
null | 0.295039 | 0.06 | 0.3 | 0.325 | 0.295039 | 0.373347 | 0.06 | 0.3 | 0.325 | 0.294 | -0.200083 | 0.851175 | 0.752149 | 0.958225 | 383 | 983 | 0.411519 | 0.504805 | 0.020152 | 0.117255 | 0.116379 | 0.117255 | 0.116379 | 0.025641 | 0.025641 | 0.871795 | -0.031642 | 0.099806 |
null | 0.115646 | 0.14 | 0.11 | 0.115646 | 0.115646 | 0.139653 | 0.14 | 0.11 | 0.095 | 0.088 | -0.200083 | 0.741497 | 0.844731 | 0.931973 | 147 | 981 | 0.276508 | 0.552033 | -0.058152 | 0.032189 | 0.056592 | 0.032189 | 0.056592 | 0.487179 | 0.794872 | 0.74359 | -0.031642 | 0.099806 |
null | 0.069565 | 0.08 | 0.08 | 0.069565 | 0.069565 | 0.109072 | 0.08 | 0.08 | 0.075 | 0.06 | -0.200083 | 0.686957 | 0.765826 | 0.930435 | 115 | 981 | 0.213838 | 0.511216 | -0.035679 | 0.026247 | 0.051735 | 0.026247 | 0.051735 | 0.820513 | 0.820513 | 0.717949 | -0.031642 | 0.099806 |
null | 0.086022 | 0.12 | 0.12 | 0.086022 | 0.086022 | 0.174134 | 0.12 | 0.12 | 0.08 | 0.072 | -0.200083 | 0.752688 | 0.739295 | 0.919355 | 186 | 982 | 0.266356 | 0.494822 | -0.277142 | 0.066536 | 0.065138 | 0.066536 | 0.065138 | 0.179487 | 0.128205 | 0.102564 | -0.031642 | 0.099806 |
null | 0.032895 | 0.02 | 0.02 | 0.032895 | 0.032895 | 0.139939 | 0.02 | 0.02 | 0.07 | 0.072 | -0.200083 | 0.75 | 0.746758 | 0.901316 | 152 | 979 | 0.253613 | 0.515229 | -0.136512 | 0.046263 | 0.064637 | 0.046263 | 0.064637 | 0.230769 | 0.307692 | 0.589744 | -0.031642 | 0.099806 |
null | 0.180392 | 0.2 | 0.2 | 0.2 | 0.180392 | 0.247191 | 0.2 | 0.2 | 0.2 | 0.158 | -0.200083 | 0.85098 | 0.789473 | 0.94902 | 255 | 979 | 0.289447 | 0.51013 | 0.036244 | 0.073382 | 0.091965 | 0.073382 | 0.091965 | 0.076923 | 0.051282 | 0.846154 | -0.031642 | 0.099806 |
null | 0.092857 | 0.08 | 0.1 | 0.092857 | 0.092857 | 0.131365 | 0.08 | 0.1 | 0.085 | 0.07 | -0.200083 | 0.678571 | 0.808856 | 0.921429 | 140 | 982 | 0.227126 | 0.511628 | -0.107127 | 0.034518 | 0.058776 | 0.034518 | 0.058776 | 0.282051 | 0.74359 | 0.615385 | -0.031642 | 0.099806 |
null | 0.041667 | 0.06 | 0.041667 | 0.041667 | 0.041667 | 0.084608 | 0.06 | 0.04 | 0.045 | 0.044 | -0.200083 | 0.666667 | 0.690591 | 0.864583 | 96 | 981 | 0.181688 | 0.514196 | -0.310318 | 0.038296 | 0.055144 | 0.038296 | 0.055144 | 0.717949 | 0.666667 | 0.051282 | -0.031642 | 0.099806 |
null | 0.320313 | 0.12 | 0.31 | 0.295 | 0.320313 | 0.377416 | 0.12 | 0.31 | 0.295 | 0.318 | -0.200083 | 0.856771 | 0.784843 | 0.966146 | 384 | 983 | 0.439698 | 0.536042 | 0.022255 | 0.075008 | 0.095304 | 0.075008 | 0.095304 | 0.051282 | 0.076923 | 0.846154 | -0.031642 | 0.099806 |
null | 0.045802 | 0.04 | 0.04 | 0.045802 | 0.045802 | 0.120163 | 0.04 | 0.04 | 0.065 | 0.06 | -0.200083 | 0.687023 | 0.737294 | 0.900763 | 131 | 982 | 0.280878 | 0.531892 | -0.31588 | 0.064046 | 0.067519 | 0.064046 | 0.067519 | 0.128205 | 0.179487 | 0.025641 | -0.031642 | 0.099806 |
null | 0.088608 | 0.06 | 0.07 | 0.088608 | 0.088608 | 0.150615 | 0.06 | 0.07 | 0.1 | 0.086 | -0.200083 | 0.772152 | 0.868395 | 0.93038 | 158 | 976 | 0.232401 | 0.520596 | -0.138274 | 0.036051 | 0.060218 | 0.036051 | 0.060218 | 0.333333 | 0.74359 | 0.487179 | -0.031642 | 0.099806 |
null | 0.032468 | 0.02 | 0.02 | 0.032468 | 0.032468 | 0.144309 | 0.02 | 0.02 | 0.04 | 0.054 | -0.200083 | 0.720779 | 0.73237 | 0.922078 | 154 | 984 | 0.273336 | 0.517558 | -0.042891 | 0.028153 | 0.050465 | 0.028153 | 0.050465 | 0.897436 | 0.846154 | 0.769231 | -0.031642 | 0.099806 |
null | 0.074074 | 0.12 | 0.08 | 0.074074 | 0.074074 | 0.099593 | 0.12 | 0.08 | 0.055 | 0.046 | -0.200083 | 0.648148 | 0.651434 | 0.907407 | 108 | 984 | 0.228862 | 0.509005 | -0.276319 | 0.072334 | 0.064844 | 0.072334 | 0.064844 | 0.205128 | 0.076923 | 0.128205 | -0.031642 | 0.099806 |
null | 0.042254 | 0.04 | 0.042254 | 0.042254 | 0.042254 | 0.068159 | 0.04 | 0.03 | 0.02 | 0.026 | -0.200083 | 0.676056 | 0.702497 | 0.943662 | 71 | 983 | 0.167226 | 0.520551 | 0.133072 | 0.022966 | 0.048533 | 0.022966 | 0.048533 | 0.974359 | 0.974359 | 0.974359 | -0.031642 | 0.099806 |
null | 0.017544 | 0.02 | 0.017544 | 0.017544 | 0.017544 | 0.051882 | 0.02 | 0.04 | 0.045 | 0.03 | -0.200083 | 0.719298 | 0.682273 | 0.894737 | 57 | 983 | 0.172342 | 0.526493 | 0.309816 | 0.02171 | 0.048733 | 0.02171 | 0.048733 | 1 | 1 | 1 | -0.031642 | 0.099806 |
null | 0.05814 | 0.08 | 0.05814 | 0.05814 | 0.05814 | 0.080203 | 0.08 | 0.06 | 0.045 | 0.042 | -0.200083 | 0.744186 | 0.754123 | 0.918605 | 86 | 985 | 0.146501 | 0.492469 | 0.029408 | 0.025805 | 0.049289 | 0.025805 | 0.049289 | 0.923077 | 0.923077 | 0.923077 | -0.031642 | 0.099806 |
null | 0.079268 | 0.08 | 0.08 | 0.079268 | 0.079268 | 0.153768 | 0.08 | 0.08 | 0.07 | 0.06 | -0.200083 | 0.707317 | 0.768977 | 0.920732 | 164 | 982 | 0.289666 | 0.51869 | -0.213844 | 0.047269 | 0.060919 | 0.047269 | 0.060919 | 0.25641 | 0.25641 | 0.153846 | -0.031642 | 0.099806 |
null | 0.040816 | 0.06 | 0.040816 | 0.040816 | 0.040816 | 0.090447 | 0.06 | 0.04 | 0.03 | 0.028 | -0.200083 | 0.744898 | 0.608249 | 0.908163 | 98 | 984 | 0.248362 | 0.550596 | -0.198779 | 0.041811 | 0.052488 | 0.041811 | 0.052488 | 0.692308 | 0.487179 | 0.25641 | -0.031642 | 0.099806 |
null | 0.034783 | 0.04 | 0.04 | 0.034783 | 0.034783 | 0.107034 | 0.04 | 0.04 | 0.055 | 0.05 | -0.200083 | 0.73913 | 0.668239 | 0.913043 | 115 | 981 | 0.215028 | 0.487011 | -0.161065 | 0.048088 | 0.056756 | 0.048088 | 0.056756 | 0.410256 | 0.333333 | 0.282051 | -0.031642 | 0.099806 |
null | 0.092308 | 0.1 | 0.09 | 0.092308 | 0.092308 | 0.188832 | 0.1 | 0.09 | 0.095 | 0.102 | -0.200083 | 0.733333 | 0.758369 | 0.953846 | 195 | 985 | 0.261465 | 0.526141 | -0.182111 | 0.053878 | 0.067459 | 0.053878 | 0.067459 | 0.179487 | 0.358974 | 0.333333 | -0.031642 | 0.099806 |
null | 0.098361 | 0.14 | 0.12 | 0.098361 | 0.098361 | 0.115071 | 0.14 | 0.12 | 0.08 | 0.048 | -0.200083 | 0.713115 | 0.747476 | 0.92623 | 122 | 982 | 0.251084 | 0.546296 | -0.135654 | 0.044212 | 0.055893 | 0.044212 | 0.055893 | 0.641026 | 0.512821 | 0.538462 | -0.031642 | 0.099806 |
null | 0.045872 | 0.06 | 0.05 | 0.045872 | 0.045872 | 0.105584 | 0.06 | 0.05 | 0.025 | 0.032 | -0.200083 | 0.678899 | 0.70668 | 0.954128 | 109 | 985 | 0.291863 | 0.597669 | -0.115986 | 0.053947 | 0.05958 | 0.053947 | 0.05958 | 0.384615 | 0.358974 | 0.641026 | -0.031642 | 0.099806 |
null | 0.030864 | 0.04 | 0.03 | 0.030864 | 0.030864 | 0.153061 | 0.04 | 0.03 | 0.025 | 0.046 | -0.200083 | 0.746914 | 0.676988 | 0.925926 | 162 | 980 | 0.347297 | 0.583672 | -0.018802 | 0.044369 | 0.054247 | 0.044369 | 0.054247 | 0.820513 | 0.564103 | 0.769231 | -0.031642 | 0.099806 |
null | 0.045872 | 0.04 | 0.05 | 0.045872 | 0.045872 | 0.101626 | 0.04 | 0.05 | 0.025 | 0.04 | -0.200083 | 0.633028 | 0.615367 | 0.917431 | 109 | 984 | 0.232795 | 0.496607 | -0.166909 | 0.036883 | 0.056226 | 0.036883 | 0.056226 | 0.615385 | 0.717949 | 0.538462 | -0.031642 | 0.099806 |
null | 0.034188 | 0.02 | 0.03 | 0.034188 | 0.034188 | 0.109868 | 0.02 | 0.03 | 0.06 | 0.054 | -0.200083 | 0.675214 | 0.705808 | 0.923077 | 117 | 983 | 0.207447 | 0.505179 | -0.182985 | 0.040872 | 0.055553 | 0.040872 | 0.055553 | 0.538462 | 0.538462 | 0.461538 | -0.031642 | 0.099806 |
null | 0.038168 | 0.04 | 0.04 | 0.038168 | 0.038168 | 0.12551 | 0.04 | 0.04 | 0.04 | 0.052 | -0.200083 | 0.694656 | 0.814646 | 0.938931 | 131 | 980 | 0.235608 | 0.553418 | -0.056994 | 0.027022 | 0.051235 | 0.027022 | 0.051235 | 0.871795 | 0.871795 | 0.692308 | -0.031642 | 0.099806 |
null | 0.030928 | 0.02 | 0.030928 | 0.030928 | 0.030928 | 0.089522 | 0.02 | 0.03 | 0.04 | 0.03 | -0.200083 | 0.721649 | 0.605763 | 0.907216 | 97 | 983 | 0.19439 | 0.497163 | -0.152769 | 0.042189 | 0.054537 | 0.042189 | 0.054537 | 0.692308 | 0.435897 | 0.384615 | -0.031642 | 0.099806 |
null | 0.080247 | 0.06 | 0.1 | 0.080247 | 0.080247 | 0.160243 | 0.06 | 0.1 | 0.065 | 0.074 | -0.200083 | 0.777778 | 0.850623 | 0.975309 | 162 | 986 | 0.23161 | 0.518563 | 0.090382 | 0.024524 | 0.052256 | 0.024524 | 0.052256 | 0.871795 | 0.897436 | 0.948718 | -0.031642 | 0.099806 |
count | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 |
null_count | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
mean | 0.081356 | 0.064488 | 0.078926 | 0.079472 | 0.081356 | 0.132353 | 0.06359 | 0.077436 | 0.075769 | 0.069231 | -0.004482 | 0.737979 | 0.683399 | 0.942127 | 137.897436 | 985.076923 | 0.214024 | 0.504616 | 0.018065 | 0.037652 | 0.051541 | 0.037652 | 0.051541 | 0.519395 | 0.51545 | 0.527942 | 0.05848 | 0.066997 |
std | 0.06451 | 0.041502 | 0.051787 | 0.059275 | 0.06451 | 0.071654 | 0.041262 | 0.051998 | 0.058078 | 0.061819 | 0 | 0.052315 | 0.062931 | 0.024581 | 72.75872 | 2.868932 | 0.07154 | 0.02523 | 0.078331 | 0.015716 | 0.0136 | 0.015716 | 0.0136 | 0.296392 | 0.289127 | 0.269614 | 0 | 0 |
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