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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 4 new columns ({'surge_precision', 'surge_recall', 'event_active_months', 'surge_lift'}) and 4 missing columns ({'pos_shock_precision', 'neg_shock_precision', 'neg_shock_lift', 'pos_shock_lift'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sdsc2005-migration/production_outputs/event_visa_best_lags_review.csv (at revision ab709336c42484ab007e73d1ab10d4a595ae4407), [/tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/event_sentiment_best_lags_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/event_sentiment_best_lags_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/event_sentiment_lead_lag_results_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/event_sentiment_lead_lag_results_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_best_lags_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_best_lags_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_lead_lag_results_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_lead_lag_results_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_overlay_index.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_overlay_index.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_best_lags_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_best_lags_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_lead_lag_results_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_lead_lag_results_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_monthly_merged_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_monthly_merged_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_overlay_index.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_overlay_index.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/trends_corr_summary_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/trends_corr_summary_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/trends_country_best_keywords_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/trends_country_best_keywords_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/trends_panel_diagnostics_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/trends_panel_diagnostics_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/trends_plot_index.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/trends_plot_index.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/trends_var_benchmark_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/trends_var_benchmark_review.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
country: string
cluster_label: string
lag_months: int64
n_months: int64
event_active_months: int64
pearson_corr: double
p_value: double
surge_precision: double
surge_recall: double
surge_lift: double
q_value: double
abs_corr: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1714
to
{'country': Value('string'), 'cluster_label': Value('string'), 'lag_months': Value('int64'), 'n_months': Value('int64'), 'pearson_corr': Value('float64'), 'p_value': Value('float64'), 'neg_shock_precision': Value('float64'), 'neg_shock_lift': Value('float64'), 'pos_shock_precision': Value('float64'), 'pos_shock_lift': Value('float64'), 'abs_corr': Value('float64'), 'q_value': 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 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
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 4 new columns ({'surge_precision', 'surge_recall', 'event_active_months', 'surge_lift'}) and 4 missing columns ({'pos_shock_precision', 'neg_shock_precision', 'neg_shock_lift', 'pos_shock_lift'}).
This happened while the csv dataset builder was generating data using
hf://datasets/sdsc2005-migration/production_outputs/event_visa_best_lags_review.csv (at revision ab709336c42484ab007e73d1ab10d4a595ae4407), [/tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/event_sentiment_best_lags_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/event_sentiment_best_lags_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/event_sentiment_lead_lag_results_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/event_sentiment_lead_lag_results_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_best_lags_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_best_lags_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_lead_lag_results_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_lead_lag_results_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_overlay_index.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/event_visa_overlay_index.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_best_lags_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_best_lags_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_lead_lag_results_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_lead_lag_results_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_monthly_merged_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_monthly_merged_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_overlay_index.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/exchange_visa_overlay_index.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/trends_corr_summary_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/trends_corr_summary_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/trends_country_best_keywords_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/trends_country_best_keywords_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/trends_panel_diagnostics_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/trends_panel_diagnostics_review.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/trends_plot_index.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/trends_plot_index.csv), /tmp/hf-datasets-cache/medium/datasets/28867224787130-config-parquet-and-info-sdsc2005-migration-produc-5c7e5b26/hub/datasets--sdsc2005-migration--production_outputs/snapshots/ab709336c42484ab007e73d1ab10d4a595ae4407/trends_var_benchmark_review.csv (origin=hf://datasets/sdsc2005-migration/production_outputs@ab709336c42484ab007e73d1ab10d4a595ae4407/trends_var_benchmark_review.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)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.
country string | cluster_label string | lag_months int64 | n_months int64 | pearson_corr float64 | p_value float64 | neg_shock_precision float64 | neg_shock_lift float64 | pos_shock_precision float64 | pos_shock_lift float64 | abs_corr float64 | q_value float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Cuba | Unknown | 5 | 103 | null | null | null | null | null | null | null | null |
Dominican Republic | Dominican Republic to have its first | 3 | 103 | 0.616697 | 0 | 0.3 | 0.810811 | 0.540541 | 1.46092 | 0.616697 | 0 |
Cuba | American President Donald Trumps Cuba policy | 0 | 103 | -0.594804 | 0 | 0.648649 | 1.363486 | 0.5 | 1.05102 | 0.594804 | 0 |
El Salvador | Aerial Warfare | 6 | 109 | -0.459362 | 0.000001 | 0.533333 | 1.408547 | null | null | 0.459362 | 0.000037 |
Guatemala | Unknown | 0 | 109 | 0.445791 | 0.000001 | 0 | 0 | null | null | 0.445791 | 0.000039 |
El Salvador | Unknown | 0 | 108 | -0.433851 | 0.000003 | 0.571429 | 1.469388 | null | null | 0.433851 | 0.000071 |
El Salvador | El Salvadors gangs - | 2 | 109 | 0.426916 | 0.000005 | 0.363636 | 0.949002 | 0.461538 | 1.204503 | 0.426916 | 0.00011 |
Colombia | Colombians s so | 0 | 107 | 0.396219 | 0.000024 | 0.461538 | 1.299595 | null | null | 0.396219 | 0.000444 |
Cuba | US President Donald Trump s | 5 | 108 | 0.368913 | 0.000126 | 0.533333 | 1.121088 | 1 | 2.102041 | 0.368913 | 0.001692 |
Dominican Republic | Air Cocaine smu | 2 | 107 | -0.340922 | 0.000373 | 0.727273 | 2.009569 | null | null | 0.340922 | 0.004273 |
Philippines | Philippines I havent been | 2 | 109 | 0.292732 | 0.002215 | 0.222222 | 0.679365 | 0.6 | 1.834286 | 0.292732 | 0.017996 |
Guatemala | Guatemalas Forgotten Voices - Think | 6 | 108 | 0.284082 | 0.003809 | 0.333333 | 0.85 | null | null | 0.284082 | 0.027506 |
Philippines | Philippines - News - World News | 1 | 109 | 0.272889 | 0.004271 | 0.384615 | 1.186813 | 0.416667 | 1.285714 | 0.272889 | 0.030288 |
El Salvador | EL PAS English | 1 | 109 | 0.271047 | 0.004549 | 0.571429 | 1.505226 | 0 | 0 | 0.271047 | 0.031681 |
Cuba | Migration event update | 6 | 109 | -0.271832 | 0.005476 | 0.727273 | 1.528757 | 0 | 0 | 0.271832 | 0.037465 |
Vietnam | Vietnams separate | 2 | 109 | -0.250755 | 0.009184 | 0.421053 | 1.155196 | 0.315789 | 0.866397 | 0.250755 | 0.05777 |
Vietnam | Vietnams fake news | 4 | 109 | -0.239998 | 0.013665 | 0.529412 | 1.425339 | 0.2 | 0.538462 | 0.239998 | 0.080745 |
Guatemala | Migration event update | 2 | 109 | 0.236942 | 0.014 | 0.263158 | 0.703947 | 0.4 | 1.07 | 0.236942 | 0.081493 |
Vietnam | The Monk Who Taught the World | 0 | 109 | -0.231998 | 0.015207 | 0.424242 | 1.156061 | null | null | 0.231998 | 0.087215 |
Honduras | Unknown | 0 | 109 | -0.231433 | 0.015463 | 0.636364 | 1.874693 | 0.565217 | 1.6651 | 0.231433 | 0.087401 |
Haiti | Haitian Presidents New Cabinet - UN | 3 | 109 | 0.232037 | 0.016693 | 0.153846 | 0.370629 | 0.75 | 1.806818 | 0.232037 | 0.091692 |
Cuba | Cubans looking for something new | 2 | 109 | -0.225678 | 0.019426 | 0.466667 | 1.019048 | 0.571429 | 1.247813 | 0.225678 | 0.102038 |
Guatemala | Caravan Migrants Break Guatemala Border | 0 | 109 | 0.220452 | 0.021252 | 0.5 | 1.3625 | 1 | 2.725 | 0.220452 | 0.106262 |
Mexico | Mexicos World Watch The | 0 | 108 | 0.218908 | 0.022836 | 0.25 | 0.771429 | 0.555556 | 1.714286 | 0.218908 | 0.111326 |
Mexico | Mexicos cartels corner the Chinese market | 1 | 109 | 0.205177 | 0.033157 | 0.111111 | 0.352941 | 0.142857 | 0.453782 | 0.205177 | 0.143682 |
Venezuela | Unknown | 0 | 107 | 0.196675 | 0.042315 | 0.444444 | 1.188889 | null | null | 0.196675 | 0.168397 |
Cuba | Cuba Crossing Is | 6 | 103 | 0.202931 | 0.046204 | 0.266667 | 0.527891 | null | null | 0.202931 | 0.176662 |
Philippines | Philippines China and the Philippines a | 4 | 103 | 0.197968 | 0.049504 | null | null | 0.333333 | 0.942857 | 0.197968 | 0.182136 |
Mexico | Unknown | 4 | 105 | -0.192407 | 0.053899 | 0.333333 | 1.052083 | null | null | 0.192407 | 0.191096 |
Vietnam | Migration event update | 6 | 108 | 0.191977 | 0.053236 | 0 | 0 | 0.714286 | 1.868132 | 0.191977 | 0.191096 |
Colombia | Colombians - Colombia Reports | 0 | 104 | 0.185346 | 0.059609 | 0 | 0 | 0.473684 | 1.296399 | 0.185346 | 0.207568 |
Honduras | Honduras Evangelical Pastors | 0 | 109 | -0.174367 | 0.069774 | 0.357143 | 1.052124 | 0.166667 | 0.490991 | 0.174367 | 0.232581 |
India | Indias population booms the problem of | 6 | 109 | 0.17705 | 0.0736 | 0.1875 | 0.482813 | 0.3125 | 0.804688 | 0.17705 | 0.239201 |
Venezuela | Venezuelas semi- | 0 | 106 | -0.172958 | 0.076231 | 0.35 | 0.9275 | 0.380952 | 1.009524 | 0.172958 | 0.245705 |
Pakistan | Pakistani militants kill five Pakistani security | 6 | 109 | 0.161427 | 0.103309 | 0.294118 | 0.81876 | 0.230769 | 0.642412 | 0.161427 | 0.291962 |
Mexico | News from the Americas - aa | 1 | 109 | 0.14663 | 0.129952 | 0.3 | 0.952941 | 0.5 | 1.588235 | 0.14663 | 0.340143 |
China | China Chinas Maritime Intelligence | 0 | 109 | 0.142411 | 0.139617 | 0.333333 | 0.981982 | 0.625 | 1.841216 | 0.142411 | 0.360601 |
Haiti | Haitian News | 0 | 109 | 0.140334 | 0.145545 | 0.4 | 0.92766 | 0.8 | 1.855319 | 0.140334 | 0.373437 |
Dominican Republic | EL PAS | 6 | 107 | 0.14533 | 0.147035 | 0.289474 | 0.790185 | 0.666667 | 1.81982 | 0.14533 | 0.374796 |
China | Chinas New Cyberseurity Regulations | 4 | 109 | -0.140905 | 0.151651 | 0.307692 | 0.950226 | 0.181818 | 0.561497 | 0.140905 | 0.381574 |
India | Indias economy is growing faster than | 2 | 109 | -0.138124 | 0.15596 | 0.428571 | 1.118467 | 0.2 | 0.521951 | 0.138124 | 0.387417 |
India | US and India Work Together to | 0 | 107 | 0.137013 | 0.159345 | null | null | 0.5 | 1.27381 | 0.137013 | 0.392865 |
Colombia | Colombian President Petro warns ELN rebel | 0 | 109 | 0.130779 | 0.175271 | 0.352941 | 1.012384 | 0.25 | 0.717105 | 0.130779 | 0.414276 |
El Salvador | Migration event update | 0 | 109 | -0.113538 | 0.239789 | 0.166667 | 0.43254 | null | null | 0.113538 | 0.500095 |
Colombia | Unknown | 6 | 109 | -0.109344 | 0.271561 | 0 | 0 | 0.444444 | 1.204678 | 0.109344 | 0.532204 |
Venezuela | Venezuelan opposition leader to step down | 4 | 109 | -0.100829 | 0.306101 | 0.45 | 1.277027 | 0.352941 | 1.00159 | 0.100829 | 0.582339 |
Venezuela | Venezuela Will Maduro negotiate a transfer | 0 | 109 | -0.095795 | 0.321745 | 0.153846 | 0.419231 | 0.384615 | 1.048077 | 0.095795 | 0.598598 |
Dominican Republic | Collection of all USATOPIXcom coverage | 6 | 109 | 0.09618 | 0.333817 | 0.375 | 1.043919 | 0.428571 | 1.19305 | 0.09618 | 0.611214 |
Afghanistan | The Talibans nuclear umbrella - ink | 2 | 109 | 0.091503 | 0.348569 | 0.111111 | 0.276486 | 0.466667 | 1.16124 | 0.091503 | 0.619407 |
Dominican Republic | Dominican Republic vs Mexico Highlights | 2 | 109 | 0.090182 | 0.355605 | 0.125 | 0.351974 | 0.666667 | 1.877193 | 0.090182 | 0.627538 |
Pakistan | Pakistans Sweeter Than | 6 | 109 | 0.085271 | 0.391772 | 0.4 | 1.113514 | 0 | 0 | 0.085271 | 0.661433 |
Honduras | Hondurass so | 1 | 109 | 0.07724 | 0.426873 | 0.230769 | 0.673597 | 0.2 | 0.583784 | 0.07724 | 0.708428 |
Dominican Republic | Unknown | 3 | 109 | 0.076334 | 0.436732 | 0.142857 | 0.409266 | 0.5 | 1.432432 | 0.076334 | 0.71385 |
Afghanistan | News The Diplomat Asia-Pacific Current | 4 | 109 | 0.067939 | 0.491053 | 0.2 | 0.488372 | 0.375 | 0.915698 | 0.067939 | 0.759963 |
Haiti | Sanctions on Former Haitian President Michel | 4 | 107 | -0.059714 | 0.549058 | 1 | 2.395349 | 0.333333 | 0.79845 | 0.059714 | 0.808048 |
El Salvador | El Salvador reports 11 dead as | 1 | 109 | -0.033217 | 0.732898 | 0.470588 | 1.239598 | 0.26087 | 0.687169 | 0.033217 | 0.918903 |
Afghanistan | News The Diplomat Asia-Pacific Current | 0 | 109 | 0.039669 | 0.682138 | 0.533333 | 1.321212 | 0.375 | 0.928977 | 0.039669 | 0.918615 |
Afghanistan | News The Diplomat Asia-Pacific Current | 1 | 109 | 0.013133 | 0.892694 | 0.466667 | 1.145455 | 0.5 | 1.227273 | 0.013133 | 0.941917 |
Afghanistan | News The Diplomat Asia-Pacific Current | 2 | 109 | 0.056766 | 0.561401 | 0.266667 | 0.663566 | 0.625 | 1.555233 | 0.056766 | 0.820023 |
Afghanistan | News The Diplomat Asia-Pacific Current | 3 | 109 | 0.046055 | 0.639219 | 0.4 | 0.986047 | 0.5 | 1.232558 | 0.046055 | 0.877801 |
Afghanistan | News The Diplomat Asia-Pacific Current | 4 | 109 | 0.067939 | 0.491053 | 0.2 | 0.488372 | 0.375 | 0.915698 | 0.067939 | 0.759963 |
Afghanistan | News The Diplomat Asia-Pacific Current | 5 | 109 | 0.063336 | 0.522994 | 0.4 | 0.967442 | 0.625 | 1.511628 | 0.063336 | 0.790572 |
Afghanistan | News The Diplomat Asia-Pacific Current | 6 | 109 | 0.018135 | 0.855722 | 0.533333 | 1.277519 | 0.375 | 0.898256 | 0.018135 | 0.941917 |
Afghanistan | The Talibans nuclear umbrella - ink | 0 | 109 | 0.031444 | 0.7455 | 0.272727 | 0.67562 | 0.6 | 1.486364 | 0.031444 | 0.918903 |
Afghanistan | The Talibans nuclear umbrella - ink | 1 | 109 | 0.060779 | 0.53206 | 0.4 | 0.981818 | 0.2 | 0.490909 | 0.060779 | 0.795033 |
Afghanistan | The Talibans nuclear umbrella - ink | 2 | 109 | 0.091503 | 0.348569 | 0.111111 | 0.276486 | 0.466667 | 1.16124 | 0.091503 | 0.619407 |
Afghanistan | The Talibans nuclear umbrella - ink | 3 | 109 | 0.077363 | 0.430557 | 0.111111 | 0.273902 | 0.466667 | 1.150388 | 0.077363 | 0.708511 |
Afghanistan | The Talibans nuclear umbrella - ink | 4 | 109 | 0.075301 | 0.445193 | 0.111111 | 0.271318 | 0.2 | 0.488372 | 0.075301 | 0.71746 |
Afghanistan | The Talibans nuclear umbrella - ink | 5 | 109 | 0.090167 | 0.36268 | 0.333333 | 0.806202 | 0.533333 | 1.289922 | 0.090167 | 0.631452 |
Afghanistan | The Talibans nuclear umbrella - ink | 6 | 109 | 0.023814 | 0.811281 | 0.444444 | 1.064599 | 0.466667 | 1.117829 | 0.023814 | 0.93911 |
China | China Chinas Maritime Intelligence | 0 | 109 | 0.142411 | 0.139617 | 0.333333 | 0.981982 | 0.625 | 1.841216 | 0.142411 | 0.360601 |
China | China Chinas Maritime Intelligence | 1 | 109 | 0.082476 | 0.396107 | 0.222222 | 0.666667 | 0.25 | 0.75 | 0.082476 | 0.66587 |
China | China Chinas Maritime Intelligence | 2 | 109 | 0.119099 | 0.221761 | 0.444444 | 1.320988 | 0.125 | 0.371528 | 0.119099 | 0.472221 |
China | China Chinas Maritime Intelligence | 3 | 109 | 0.070505 | 0.472644 | 0.333333 | 1.009524 | 0.375 | 1.135714 | 0.070505 | 0.74683 |
China | China Chinas Maritime Intelligence | 4 | 109 | 0.136986 | 0.16348 | 0.222222 | 0.686275 | 0.25 | 0.772059 | 0.136986 | 0.392865 |
China | China Chinas Maritime Intelligence | 5 | 109 | 0.11081 | 0.262784 | 0.444444 | 1.359477 | 0.375 | 1.147059 | 0.11081 | 0.525718 |
China | China Chinas Maritime Intelligence | 6 | 109 | 0.059804 | 0.548455 | 0.444444 | 1.346405 | 0.25 | 0.757353 | 0.059804 | 0.808048 |
China | Chinas New Cyberseurity Regulations | 0 | 109 | 0.022337 | 0.817666 | 0.214286 | 0.631274 | 0.363636 | 1.071253 | 0.022337 | 0.93911 |
China | Chinas New Cyberseurity Regulations | 1 | 109 | -0.009076 | 0.925726 | 0.461538 | 1.384615 | 0.363636 | 1.090909 | 0.009076 | 0.953844 |
China | Chinas New Cyberseurity Regulations | 2 | 109 | -0.04788 | 0.624317 | 0.230769 | 0.685897 | 0.363636 | 1.080808 | 0.04788 | 0.869584 |
China | Chinas New Cyberseurity Regulations | 3 | 109 | -0.125785 | 0.198865 | 0.153846 | 0.465934 | 0.272727 | 0.825974 | 0.125785 | 0.448145 |
China | Chinas New Cyberseurity Regulations | 4 | 109 | -0.140905 | 0.151651 | 0.307692 | 0.950226 | 0.181818 | 0.561497 | 0.140905 | 0.381574 |
China | Chinas New Cyberseurity Regulations | 5 | 109 | -0.017165 | 0.862696 | 0.153846 | 0.470588 | 0.454545 | 1.390374 | 0.017165 | 0.941917 |
China | Chinas New Cyberseurity Regulations | 6 | 109 | 0.110141 | 0.268061 | 0.307692 | 0.932127 | 0.363636 | 1.101604 | 0.110141 | 0.528 |
Colombia | Colombian President Petro warns ELN rebel | 0 | 109 | 0.130779 | 0.175271 | 0.352941 | 1.012384 | 0.25 | 0.717105 | 0.130779 | 0.414276 |
Colombia | Colombian President Petro warns ELN rebel | 1 | 109 | 0.059389 | 0.541501 | 0.411765 | 1.170279 | 0.083333 | 0.236842 | 0.059389 | 0.804805 |
Colombia | Colombian President Petro warns ELN rebel | 2 | 109 | -0.00652 | 0.946859 | 0.352941 | 0.993808 | 0.090909 | 0.255981 | 0.00652 | 0.962266 |
Colombia | Colombian President Petro warns ELN rebel | 3 | 109 | -0.05526 | 0.573695 | 0.411765 | 1.148607 | 0.272727 | 0.760766 | 0.05526 | 0.831751 |
Colombia | Colombian President Petro warns ELN rebel | 4 | 109 | -0.093131 | 0.34469 | 0.411765 | 1.137771 | 0.272727 | 0.753589 | 0.093131 | 0.619407 |
Colombia | Colombian President Petro warns ELN rebel | 5 | 109 | -0.037774 | 0.703423 | 0.294118 | 0.804954 | 0 | 0 | 0.037774 | 0.918903 |
Colombia | Colombian President Petro warns ELN rebel | 6 | 109 | -0.052287 | 0.599906 | 0.352941 | 0.956656 | 0.181818 | 0.492823 | 0.052287 | 0.85292 |
Colombia | Colombians - Colombia Reports | 0 | 104 | 0.185346 | 0.059609 | 0 | 0 | 0.473684 | 1.296399 | 0.185346 | 0.207568 |
Colombia | Colombians - Colombia Reports | 1 | 104 | 0.111205 | 0.263437 | 0 | 0 | 0.473684 | 1.283934 | 0.111205 | 0.525718 |
Colombia | Colombians - Colombia Reports | 2 | 104 | 0.111051 | 0.266492 | 0 | 0 | 0.5 | 1.342105 | 0.111051 | 0.527574 |
Colombia | Colombians - Colombia Reports | 3 | 104 | 0.128393 | 0.200694 | 0 | 0 | 0.588235 | 1.563467 | 0.128393 | 0.448145 |
Colombia | Colombians - Colombia Reports | 4 | 104 | 0.096778 | 0.338132 | 0 | 0 | 0.5625 | 1.480263 | 0.096778 | 0.616222 |
Colombia | Colombians - Colombia Reports | 5 | 104 | 0.131432 | 0.194716 | 0 | 0 | 0.6 | 1.563158 | 0.131432 | 0.446702 |
Colombia | Colombians - Colombia Reports | 6 | 104 | 0.172475 | 0.089459 | 0 | 0 | 0.642857 | 1.657895 | 0.172475 | 0.266328 |
Colombia | Colombians s so | 0 | 107 | 0.396219 | 0.000024 | 0.461538 | 1.299595 | null | null | 0.396219 | 0.000444 |
Colombia | Colombians s so | 1 | 107 | 0.350625 | 0.000229 | 0.5 | 1.394737 | null | null | 0.350625 | 0.002705 |
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