import pandas as pd
# Load the CSV file to examine its structure and contents
file_path = '/mnt/data/rent_apts.csv'
df = pd.read_csv(file_path)
# Display basic information about the dataset and the first few rows
df.info(), df.head()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1848 entries, 0 to 1847
Data columns (total 7 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Agency 1848 non-null object
1 Neighborhood 1848 non-null object
2 Price 1848 non-null object
3 link 1848 non-null object
4 sq_mtrs 1846 non-null float64
5 Bedrooms 1845 non-null float64
6 Bathrooms 1557 non-null float64
dtypes: float64(3), object(4)
memory usage: 101.2+ KB
Result
(None,
Agency Neighborhood \
0 Buy Rent Shelters General Mathenge, Westlands
1 Kenya Classic Homes Kilimani, Dagoretti North
2 Absolute Estate Agents Hatheru Rd,, Lavington, Dagoretti North
3 A1 Properties Limited Kilimani, Dagoretti North
4 Pmc Estates Limited Imara Daima, Embakasi
Price link sq_mtrs \
0 KSh 155,000 /listings/4-bedroom-apartment-for-rent-general... 4.0
1 KSh 100,000 /listings/3-bedroom-apartment-for-rent-kiliman... 300.0
2 KSh 75,000 /listings/3-bedroom-apartment-for-rent-lavingt... 3.0
3 KSh 135,000 /listings/3-bedroom-apartment-for-rent-kiliman... 227.0
4 KSh 50,000 /listings/3-bedroom-apartment-for-rent-imara-d... 3.0
Bedrooms Bathrooms
0 4.0 4.0
1 3.0 4.0
2 3.0 5.0
3 3.0 4.0
4 3.0 NaN )This work is licensed under a Creative Commons Attribution 4.0 International License.
Editor: Zacharia Maganga Nyambu
Email: zachariamaganga@duck.com

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