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Danny Morris dannymorris

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  • Buffalo, NY
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dannymorris / aus_retail.csv
Created May 13, 2021 16:34
Monthly retail turnover in Australia
Month Australian_Capital_Territory_Cafes__restaurants_and_catering_services Australian_Capital_Territory_Cafes__restaurants_and_takeaway_food_services Australian_Capital_Territory_Clothing__footwear_and_personal_accessory_retailing Australian_Capital_Territory_Clothing_retailing Australian_Capital_Territory_Department_stores Australian_Capital_Territory_Electrical_and_electronic_goods_retailing Australian_Capital_Territory_Food_retailing Australian_Capital_Territory_Footwear_and_other_personal_accessory_retailing Australian_Capital_Territory_Furniture__floor_coverings__houseware_and_textile_goods_retailing Australian_Capital_Territory_Hardware__building_and_garden_supplies_retailing Australian_Capital_Territory_Household_goods_retailing Australian_Capital_Territory_Liquor_retailing Australian_Capital_Territory_Newspaper_and_book_retailing Australian_Capital_Territory_Other_recreational_goods_retailing Australian_Capital_Territory_Other_retailing Australian_Capital_Territory_Other_retailing_n_e_c_ Australian_C
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dannymorris / gluonts.ipynb
Created May 13, 2021 16:35
gluonts.ipynb
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dannymorris / worldcities.csv
Created May 13, 2021 18:42
We can't make this file beautiful and searchable because it's too large.
"city","city_ascii","lat","lng","country","iso2","iso3","admin_name","capital","population","id"
"Tokyo","Tokyo","35.6897","139.6922","Japan","JP","JPN","Tōkyō","primary","37977000","1392685764"
"Jakarta","Jakarta","-6.2146","106.8451","Indonesia","ID","IDN","Jakarta","primary","34540000","1360771077"
"Delhi","Delhi","28.6600","77.2300","India","IN","IND","Delhi","admin","29617000","1356872604"
"Mumbai","Mumbai","18.9667","72.8333","India","IN","IND","Mahārāshtra","admin","23355000","1356226629"
"Manila","Manila","14.5958","120.9772","Philippines","PH","PHL","Manila","primary","23088000","1608618140"
"Shanghai","Shanghai","31.1667","121.4667","China","CN","CHN","Shanghai","admin","22120000","1156073548"
"São Paulo","Sao Paulo","-23.5504","-46.6339","Brazil","BR","BRA","São Paulo","admin","22046000","1076532519"
"Seoul","Seoul","37.5833","127.0000","Korea, South","KR","KOR","Seoul","primary","21794000","1410836482"
"Mexico City","Mexico City","19.4333","-99.1333","Mexico","MX","MEX","Ciudad de México","primary
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dannymorris / insurance.csv
Created May 16, 2021 01:34
age sex bmi children smoker region charges
19 female 27.9 0 yes southwest 16884.924
18 male 33.77 1 no southeast 1725.5523
28 male 33 3 no southeast 4449.462
33 male 22.705 0 no northwest 21984.47061
32 male 28.88 0 no northwest 3866.8552
31 female 25.74 0 no southeast 3756.6216
46 female 33.44 1 no southeast 8240.5896
37 female 27.74 3 no northwest 7281.5056
37 male 29.83 2 no northeast 6406.4107
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dannymorris / county_data.csv
Created May 18, 2021 03:09
We can't make this file beautiful and searchable because it's too large.
fips,state,name,party_winner,trump_pct,margin,POPULATION_Total,AGE_18_29,AGE_30_44,AGE_45_59,AGE_60_Plus,AGE_18_Plus,RACE_Total__Asian_alone,RACE_Total__Black_or_African_American_alone,RACE_Total__Hispanic_or_Latino,RACE_Total__White_alone,GINI_Gini_Index,INCOME_PER_CAPITA_INCOME_IN_THE_PAST_12_MONTHS__IN_2018_INFLATION_ADJUSTED_DOLLARS_,UNEMPLOY__16_YEARS_AND_OVER__ASIAN_ALONE_,UNEMPLOY__16_YEARS_AND_OVER__BLACK_OR_AFRICAN_AMERICAN_ALONE_,UNEMPLOY__16_YEARS_AND_OVER__HISPANIC_OR_LATINO_,UNEMPLOY__16_YEARS_AND_OVER__WHITE_ALONE_,UNEMPLOY_Total_16_YEARS_AND_OVER,EDU_ATTAIN_Total__Bachelor_s_degree_or_higher,EDU_ATTAIN_Total__High_school_graduate__includes_equivalency_,EDU_ATTAIN_Total__Less_than_high_school_diploma,EDU_ATTAIN_Total__Some_college_or_associate_s_degree,INDUSTRY_Total__Agriculture__forestry__fishing_and_hunting__and_mining__Agriculture__forestry__fishing_and_hunting,INDUSTRY_Total__Agriculture__forestry__fishing_and_hunting__and_mining__Mining__quarrying__and_oil_and_gas_extraction,INDUSTRY_Total
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dannymorris / edm-sparkml-clustering.ipynb
Created May 18, 2021 18:36
EDM-SparkML-Clustering.ipynb
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dannymorris / spark_apache_sedona.ipynb
Created May 18, 2021 19:22
Spark_Apache_Sedona.ipynb
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dannymorris / sparkml-arules.ipynb
Created May 20, 2021 21:24
sparkml-arules.ipynb
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dannymorris / sample_claims.csv
Created June 9, 2021 19:50
Claims monthly time series
Date Inc_Month Inc_Year DOW DOW_Name Claims Population
2016-01-01 2016-01-01 2016 6 Friday 1204.5 88071.66666666667
2016-01-02 2016-01-01 2016 7 Saturday 1435.3333333333333 88071.66666666667
2016-01-03 2016-01-01 2016 1 Sunday 912.1666666666666 88071.66666666667
2016-01-04 2016-01-01 2016 2 Monday 7026.333333333333 88071.66666666667
2016-01-05 2016-01-01 2016 3 Tuesday 6912.666666666667 88071.66666666667
2016-01-06 2016-01-01 2016 4 Wednesday 6889.666666666667 88071.66666666667
2016-01-07 2016-01-01 2016 5 Thursday 6684 88071.66666666667
2016-01-08 2016-01-01 2016 6 Friday 6029.666666666667 88071.66666666667
2016-01-09 2016-01-01 2016 7 Saturday 1601.3333333333333 88071.66666666667
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dannymorris / daily_weather.ipynb
Created December 2, 2021 04:46
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