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Rajayaswanthvarma / review.csv
Created July 18, 2023 22:18
review
We can't make this file beautiful and searchable because it's too large.
Name,college,review,rating
Aariz Amaan,IILM University,The faculty-student ratio is good none of the students go unnoticed if they participate well. Faculties are highly experienced and hold Ph.D. in their respective fields. Mid-sem and end-sem exams are not that tough if you have studied well before the exams.The campus is lush green and spacious classes are well equipped with Ac and labs are good too. Hostels are newly made. You can avail of all books from the library itself. Sports facilities are good too. There is a Haldiram outlet within the campus.,7
Saurabh,Lovely Professional University - [LPU],"There are many fests. In which the name of the annual fest is lpu fest that all are conducted in the month of December and January
There is availability of all the books in the library that a student want.
There are amenities in Every classroom.
The best thing about the college is there are every sports activities faculty in college.
There is a big playground.
@Rajayaswanthvarma
Rajayaswanthvarma / Changed.csv
Created July 18, 2023 21:16
changed
ID fixed acidity volatile acidity citric acid residual sugar chlorides free sulfur dioxide total sulfur dioxide density pH sulphates alcohol quality Type
2732 7.4 0.17 0.29 1.4 0.047 23 107 0.9939 3.52 0.65 10.4 6 White Wine
2607 5.3 0.31 0.38 10.5 0.031 53 140 0.99321 3.34 0.46 11.7 6 White Wine
1653 4.7 0.145 0.29 1 0.042 35 90 0.9908 3.76 0.49 11.3 6 White Wine
3264 6.9 0.26 0.29 4.2 0.043 33 114 0.9902 3.16 0.31 12.5 6 White Wine
4931 6.4 0.45 0.07 1.1 0.03 10 131 0.9905 2.97 0.28 10.8 5 White Wine
4859 8.4 0.32 0.35 11.7 0.029 3 46 0.99439 3.02 0.34 11.8 6 White Wine
5827 7.4 0.3 0.22 5.25 0.053 33 180 0.9926 3.13 0.45 11.6 6 White Wine
1033 7 0.32 0.29 7.6 0.025 35 124 0.99162 3.15 0.65 12.8 7 White Wine
4373 6.7 0.46 0.27 5.2 0.039 35 96 0.99129 3.16 0.44 12.4 7 White Wine
@Rajayaswanthvarma
Rajayaswanthvarma / Changed.csv
Created July 18, 2023 20:35
Changed
fixed acidity volatile acidity citric acid residual sugar chlorides free sulfur dioxide total sulfur dioxide density pH sulphates alcohol quality Type
2732 7.4 0.17 0.29 1.4 0.047 23 107 0.9939 3.52 0.65 10.4 6 White Wine
2607 5.3 0.31 0.38 10.5 0.031 53 140 0.99321 3.34 0.46 11.7 6 White Wine
1653 4.7 0.145 0.29 1 0.042 35 90 0.9908 3.76 0.49 11.3 6 White Wine
3264 6.9 0.26 0.29 4.2 0.043 33 114 0.9902 3.16 0.31 12.5 6 White Wine
4931 6.4 0.45 0.07 1.1 0.03 10 131 0.9905 2.97 0.28 10.8 5 White Wine
4859 8.4 0.32 0.35 11.7 0.029 3 46 0.99439 3.02 0.34 11.8 6 White Wine
5827 7.4 0.3 0.22 5.25 0.053 33 180 0.9926 3.13 0.45 11.6 6 White Wine
1033 7 0.32 0.29 7.6 0.025 35 124 0.99162 3.15 0.65 12.8 7 White Wine
4373 6.7 0.46 0.27 5.2 0.039 35 96 0.99129 3.16 0.44 12.4 7 White Wine
@Rajayaswanthvarma
Rajayaswanthvarma / winequality.csv
Created July 18, 2023 18:43
Winequality
We can't make this file beautiful and searchable because it's too large.
ID,fixed acidity,volatile acidity,citric acid,residual sugar,chlorides,free sulfur dioxide,total sulfur dioxide,density,pH,sulphates,alcohol,quality,Type
2732,7.4,0.17,0.29,1.4,0.047,23,107,0.9939,3.52,0.65,10.4,6,White Wine
2607,5.3,0.31,0.38,10.5,0.031,53,140,0.99321,3.34,0.46,11.7,6,White Wine
1653,4.7,0.145,0.29,1,0.042,35,90,0.9908,3.76,0.49,11.3,6,White Wine
3264,6.9,0.26,0.29,4.2,0.043,33,114,0.9902,3.16,0.31,12.5,6,White Wine
4931,6.4,0.45,0.07,1.1,0.03,10,131,0.9905,2.97,0.28,10.8,5,White Wine
4859,8.4,0.32,0.35,11.7,0.029,3,46,0.99439,3.02,0.34,11.8,6,White Wine
5827,7.4,0.3,0.22,5.25,0.053,33,180,0.9926,3.13,0.45,11.6,6,White Wine
1033,7,0.32,0.29,7.6,0.025,35,124,0.99162,3.15,0.65,12.8,7,White Wine
@Rajayaswanthvarma
Rajayaswanthvarma / Sumanthbigdata1.csv
Created July 13, 2023 02:11
Sumanthbigdata1.csv
year global_shares gdp_pcap tot_gdp tot_pop share_of_richer_pop score global_gini
1958 0.029 8643 1.16E+11 13416218 0.9 0.0551 0.2668
1958 0.053 8643 1.16E+11 13416218 0.8 0.0901 0.2668
1958 0.066 8643 1.16E+11 13416218 0.7 0.099 0.2668
1958 0.076 8643 1.16E+11 13416218 0.6 0.0988 0.2668
1958 0.087 8643 1.16E+11 13416218 0.5 0.0957 0.2668
1958 0.098 8643 1.16E+11 13416218 0.4 0.0882 0.2668
1958 0.111 8643 1.16E+11 13416218 0.3 0.0777 0.2668
1958 0.127 8643 1.16E+11 13416218 0.2 0.0635 0.2668
1958 0.149 8643 1.16E+11 13416218 0.1 0.0447 0.2668
@Rajayaswanthvarma
Rajayaswanthvarma / Sumanthbigdata.csv
Created July 13, 2023 01:49
sumanth assignment
Category year global_shares gdp_pcap tot_gdp tot_pop share_of_richer_pop score global_gini
d1 1958 0.029 8643 1.16E+11 13416218 0.9 0.0551 0.2668
d2 1958 0.053 8643 1.16E+11 13416218 0.8 0.0901 0.2668
d3 1958 0.066 8643 1.16E+11 13416218 0.7 0.099 0.2668
d4 1958 0.076 8643 1.16E+11 13416218 0.6 0.0988 0.2668
d5 1958 0.087 8643 1.16E+11 13416218 0.5 0.0957 0.2668
d6 1958 0.098 8643 1.16E+11 13416218 0.4 0.0882 0.2668
d7 1958 0.111 8643 1.16E+11 13416218 0.3 0.0777 0.2668
d8 1958 0.127 8643 1.16E+11 13416218 0.2 0.0635 0.2668
d9 1958 0.149 8643 1.16E+11 13416218 0.1 0.0447 0.2668
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Rajayaswanthvarma / ddds.csv
Last active June 29, 2023 18:54
dasdas
We can make this file beautiful and searchable if this error is corrected: It looks like row 8 should actually have 16 columns, instead of 7 in line 7.
Location,Total Land Area,Number of Cows,Quantity (liters/kg),Product Name,Brand,Farm Size,Price per Unit,Total Value,Shelf Life (days),Storage Condition,Quantity Sold (liters/kg),Price per Unit (sold),Approx. Total Revenue(INR),Customer Location,Sales Channel
Telangana,310.84,96,222.4,Ice Cream,Dodla Dairy,Medium,85.72,19064.128,25,Frozen,7,82.24,575.68,Madhya Pradesh,Wholesale
Uttar Pradesh,19.19,44,687.48,Milk,Amul,Large,42.61,29293.5228,22,Tetra Pack,558,39.24,21895.92,Kerala,Wholesale
Tamil Nadu,581.69,24,503.48,Yogurt,Dodla Dairy,Medium,36.5,18377.02,30,Refrigerated,256,33.81,8655.36,Madhya Pradesh,Online
Telangana,908,89,823.36,Cheese,Britannia Industries,Small,26.52,21835.5072,72,Frozen,601,28.92,17380.92,Rajasthan,Online
Maharashtra,861.95,21,147.77,Buttermilk,Mother Dairy,Medium,83.85,12390.5145,11,Refrigerated,145,83.07,12045.15,Jharkhand,Retail
Telangana,87.64,51,593.92,Curd,Raj,Medium,85.54,50803.9168,5,Refrigerated,74,84.75,6271.5,Gujarat,Retail
Karnataka,73.28,74,757.14,Cheese,Dynamix Dairies,Sm
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Rajayaswanthvarma / Ml.csv
Created June 29, 2023 15:11
ML
Year Australian Dollar Canadian Dollar Chinese Renminbi Japanese Yen Korean Won New Taiwan Dollar Pound Sterling Singapore Dollar Swiss Franc US Dollar
1975 6.47 4.86 2.6657 0.0167 0.0098 0.13 10.9 2.08 1.91 4.939
1976 6 4.98 2.5401 0.0165 0.0099 0.129 8.86 1.99 1.96 4.904
1977 5.16 4.39 2.5131 0.0174 0.0096 0.123 8.14 1.91 1.95 4.662
1978 5.36 4.11 2.7681 0.0225 0.0096 0.126 9 2.06 2.65 4.685
1979 5.59 4.27 3.1971 0.0229 0.0103 0.125 10.64 2.3 3.01 5.003
1980 5.69 4.26 3.319 0.0221 0.0083 0.13 11.6 2.33 2.98 4.976
1981 6.43 4.67 3.2918 0.0254 0.0082 0.141 11.31 2.65 2.87 5.593
1982 6.18 4.93 3.2129 0.0245 0.0083 0.146 10.64 2.85 3 6.072
1983 6.58 5.92 3.6785 0.0307 0.0093 0.174 11.06 3.45 3.47 7.273
@Rajayaswanthvarma
Rajayaswanthvarma / Ml.csv
Created June 29, 2023 14:22
Machine learning
name iata icao lat lon country alt
0 A Coruna Airport LCG LECO 43.302059 -8.37725 Spain 326
1 Aachen Merzbruck Airport AAH EDKA 50.823051 6.186111 Germany 623
2 Aalborg Airport AAL EKYT 57.092781 9.849164 Denmark 10
3 Aarhus Airport AAR EKAH 56.300011 10.619 Denmark 82
4 Aarhus Sea Airport QEA EKAC 56.151993 10.247725 Denmark 1
5 Aasiaat Airport JEG BGAA 68.72184 -52.784698 Greenland 74
6 Abadan Airport ABD OIAA 30.371111 48.228329 Iran 19
7 Abakan International Airport ABA UNAA 53.740002 91.385002 Russia 831
8 Abbotsford International Airport YXX CYXX 49.025269 -122.360001 Canada 195
@Rajayaswanthvarma
Rajayaswanthvarma / Data.csv
Created April 9, 2023 02:31
Data
We can't make this file beautiful and searchable because it's too large.
,Unnamed: 0,Name_of_Satellite_/Alternate_Names,Current_Official_Name_of_Satellite,Country_Org_of_UN_Registry,Country_of_Operator_Owner,Operator_Owner,Users,Purpose,Detailed_Purpose,Class_of_Orbit,Type_of_Orbit,Longitude_of_GEO_degrees,Perigee_km,Apogee_km,Eccentricity,Inclination_degrees,Period_minutes,Launch_Mass_kg,Dry_Mass_kg,Power_watts,Date_of_Launch,Expected_Lifetime_yrs,Contractor,Country_of_Contractor,Launch_Site,Launch_Vehicle,COSPAR_Number,NORAD_Number
0,0,1HOPSAT-TD (1st-generation High Optical Performance Satellite),1HOPSAT-TD,Russia,USA,Hera Systems,Commercial,Earth Observation,Infrared Imaging,LEO,Non-Polar Inclined,0,566,576,0.000720357,36.9,96.08,22,20387,1894,12/11/2019,0.5,Hera Systems,USA,Satish Dhawan Space Centre,PSLV,2019-089H,44859
1,1,Aalto-1 ,Aalto-1,Finland,Finland,Aalto University,Civil,Technology Development,Amateur Radio,LEO,Sun-Synchronous,0,497,517,0.001454122,97.45,94.7,4.5,17143,4.5,6/23/2017,2,Aalto University,Finland,Satish Dhawan Space Centre,PSLV,2017-036L,42775
2,2,AAUSat