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@@ -185,7 +185,7 @@ The dataset supports the city's commitment to open data and the promotion of dat
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  The Building Permits dataset is collected by Seattle Government where it contains all of the recent information about housing permits in Seattle. The dataset is published on
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  Seattle Government Open Data Portal and it's keep updating along with time. You can download the raw data from [Seattle Government Website](https://data.seattle.gov/Permitting/Building-Permits/76t5-zqzr/about_data)
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  in different formats. For my own purpose I downloaded the CSV version that updated until the modified time of this repo and you can find it in the following Github Repo:[https://github.com/HathawayLiu/Housing_dataset]
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- (which is the same as the one I mentioned above). To process and clean the dataset, I did the following steps:
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  1. Pre-process the data to make sure that they are in the correct types.
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  2. Use the provided `latitude` and `longitude` columns in the dataset along with Google Maps API to fill in the blanks for the `OriginalZip`(Zip code) column.
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  3. Use the provided `latitude` and `longitude` columns and the GeoJSon file of Seattle Neighborhood District to assign building permits to their corresponding neighborhood districts.
 
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  The Building Permits dataset is collected by Seattle Government where it contains all of the recent information about housing permits in Seattle. The dataset is published on
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  Seattle Government Open Data Portal and it's keep updating along with time. You can download the raw data from [Seattle Government Website](https://data.seattle.gov/Permitting/Building-Permits/76t5-zqzr/about_data)
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  in different formats. For my own purpose I downloaded the CSV version that updated until the modified time of this repo and you can find it in the following Github Repo:[https://github.com/HathawayLiu/Housing_dataset]
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+ (File name: `Building_Permits_20240213.csv`). To process and clean the dataset, I did the following steps:
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  1. Pre-process the data to make sure that they are in the correct types.
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  2. Use the provided `latitude` and `longitude` columns in the dataset along with Google Maps API to fill in the blanks for the `OriginalZip`(Zip code) column.
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  3. Use the provided `latitude` and `longitude` columns and the GeoJSon file of Seattle Neighborhood District to assign building permits to their corresponding neighborhood districts.