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Good evening sir,
Result of data analysis and summary of discovery on heart disease data giving to data wrangling academy class 24 .
Good evening sir,
the result of the task given on dictionary
Stanley Omeike Gideon Odekina
Good day all.
Here's a brief summary i got from the loan csv from the last Data Wrangling Academy class held on 23rd May 2024
LOAN CSV DATA SUMMARY
1 The Data has 443 samples starting from 0 to 442 with 8 features
2. There was no Nan or missing values
3. We have 3 categorical and 5 numerical data types
4. Observed there are no duplicates in the data
5. Noticed there are 4 types of loans in the data, home-121, cash-108, credit-107, other-107
6. Observed in repaid feature that 0(unpaid)=206 and 1(paid)=237
I'd welcome suggestions and constructive criticism...
Good day all.
Here's a brief summary i got from the loan csv from the last Data Wrangling Academy class held on 23rd May 2024
LOAN CSV DATA SUMMARY
1 The Data has 443 samples starting from 0 to 442 with 8 features
2. There was no Nan or missing values
3. We have 3 categorical and 5 numerical data types
4. Observed there are no duplicates in the data
5. Noticed there are 4 types of loans in the data, home-121, cash-108, credit-107, other-107
6. Observed in repaid feature that 0(unpaid)=206 and 1(paid)=237
I'd welcome suggestions and constructive criticism...
Hello and good morning, Prof Stanley Omeike , Gideon Odekina . I practiced the nested dictionary, but I found the "for ... range (len(variable)):" loop more convenient compared to the "for...zip".
I was also able to 'append' the GDP List to the already created dictionary.
Thanks for your time.
Hello and good morning, Prof Stanley Omeike , Gideon Odekina . I practiced the nested dictionary, but I found the "for ... range (len(variable)):" loop more convenient compared to the "for...zip".
I was also able to 'append' the GDP List to the already created dictionary.
Thanks for your time.
Hello and good morning, Prof Stanley Omeike , Gideon Odekina . I practiced the nested dictionary, but I found the "for ... range (len(variable)):" loop more convenient compared to the "for...zip".
I was also able to 'append' the GDP List to the already created dictionary.
Thanks for your time.
