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| # Configure English as language of text | |
| make_constant(ds["Symptom Description"], { | |
| "value": "en", | |
| "out_type": "category" | |
| }) -> (ds.lang) | |
| # Parse and extract ADJECTIVES from SYMPTOM DESCRIPTION column. | |
| extract_keywords(ds["Symptom Description"], ds.lang, { | |
| "keywords": { | |
| "pos_tags": [ |
We can make this file beautiful and searchable if this error is corrected: It looks like row 5 should actually have 29 columns, instead of 27 in line 4.
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| Recency,MntWines,MntFruits,MntMeatProducts,MntFishProducts,MntSweetProducts,MntGoldProds,NumDealsPurchases,NumWebPurchases,NumCatalogPurchases,NumStorePurchases,NumWebVisitsMonth,Year_Birth,Education,Marital_Status,Income,Kidhome,Teenhome,Dt_Customer,AcceptedCmp3,AcceptedCmp4,AcceptedCmp5,AcceptedCmp1,AcceptedCmp2,Complain,Response,umap_cluster,month_name,weekday_name | |
| 58,635,88,546,172,88,88,3,8,10,4,7,1957-01-01T00:00:00Z,Graduation,Single,58138,0,0,2012-09-04T00:00:00Z,false,false,false,false,false,false,true,Cluster 1,January,Tuesday | |
| 38,11,1,6,2,1,6,2,1,1,2,5,1954-01-01T00:00:00Z,Graduation,Single,46344,1,1,2014-03-08T00:00:00Z,false,false,false,false,false,false,false,Cluster 12,January,Friday | |
| 26,426,49,127,111,21,42,1,8,2,10,4,1965-01-01T00:00:00Z,Graduation,Together,71613,0,0,2013-08-21T00:00:00Z,false,false,false,false,false,false,false,Cluster 2,January,Friday | |
| 26,11,4,20,10,3,5,2,2,0,4,6,1984-01-01T00:00:00Z,Graduation,Together,26646,1,0,2014-02-10T00:00:00Z,false,false,false,false,false,false,false,C |
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| lng,lat | |
| -53.64057227283197,-15.150617321621077 | |
| -42.99421760836617,-11.145332942844876 | |
| -44.41791507114796,-8.157790364362803 | |
| -43.66038973901276,-21.148947704964765 | |
| -50.294873612911196,-7.517881971758156 | |
| -39.23700952309843,-9.933767804515153 | |
| -56.39064428015981,-4.383264074730363 | |
| -45.240887220743545,-13.103282452658972 | |
| -42.645435327462764,-21.757497469260148 |
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| lng | lat | |
|---|---|---|
| -74.1179903701844 | 4.75055095371542 | |
| -74.1179903701844 | 4.75055095371542 | |
| -74.1179903701844 | 4.75055095371542 | |
| -74.1179903701844 | 4.75055095371542 | |
| -74.1179903701844 | 4.75055095371542 | |
| -46.632005 | -23.519901 | |
| -46.725853 | -23.548752 | |
| -46.615347 | -23.650206 | |
| -46.508786 | -23.482543 |
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