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Mumbai Railway Station Dataset
Data Science and Analytics
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Free
About
This dataset provides detailed information about the Mumbai Local Train Network, encompassing its routes, stations, and the distances and times covered between them. The data is primarily textual, with historical and descriptive content sourced from Wikipedia, while operational details like distance and travel time are procured from the M-indicator application. It serves as a valuable resource for anyone keen on the history of Mumbai's local trains and for analysts aiming to explore Natural Language Processing (NLP) techniques. The dataset comprises 202 individual data points and features 6 variables, which include a mix of string and object data types.
Columns
- Station: The name of the Mumbai Local train station.
- Station Code: A concise 2 to 3-letter code assigned to each station.
- Line: Specifies the route on which the station is situated, such as Harbour, Western, or Central lines.
- Distance From Previous of the Line: The distance in kilometres from the preceding station on the same railway line.
- Time taken From Previous of the Line: The time measured in minutes required to travel from the previous station on the same line.
- About/History: A brief historical account or general description pertaining to the station.
- Platforms: Indicates the total number of platforms available at the station.
- Tracks: The count of railway tracks present at the station.
- Year of Opening: The inauguration year of the station, with data spanning from 1853 to 2018.
- Nearby attractions: A list of notable places of interest located in the vicinity of the station.
- Number of Passengers: The approximate number of commuters utilising the station.
- Previous names: Any former names by which the station was historically known.
Distribution
The dataset is provided in CSV format, making it easily accessible and parseable. It contains 202 data points (or records/rows) and includes 6 distinct variables (columns). These variables consist of mixed data types, primarily strings and objects, forming a tabular structure.
Usage
This dataset is ideally suited for a variety of analytical and data science applications, including:
- Exploring and applying Natural Language Processing (NLP) techniques, given its significant textual content.
- Conducting data science and analytics projects focused on urban transportation.
- Undertaking tasks such as classification, clustering, and text pre-processing due to its rich textual descriptions.
- Analysing the historical development and operational aspects of the Mumbai Local Train Network.
Coverage
The dataset's geographic scope is exclusively the Mumbai Local Train Network in India. Its time range covers station opening years from 1853 up to 2018, providing a historical perspective. The dataset's content scope includes detailed information on train routes, individual stations, and precise measurements of distance and time between these stations across the network.
License
CC0
Who Can Use It
This dataset is intended for:
- Analysts and data scientists who are looking for real-world data to apply and explore various NLP techniques.
- Enthusiasts interested in experimenting with natural language processing and textual data.
- Anyone with an interest in the history of Mumbai Local Trains or urban infrastructure development.
- Researchers and developers building applications related to public transportation in Mumbai.
Dataset Name Suggestions
- Mumbai Local Train Network Data
- Mumbai Railway Station Dataset
- Mumbai Commuter Rail Historical Data
- Mumbai Train Route Analytics
- Indian Urban Rail Dataset
Attributes
Original Data Source: Mumbai Local Train Dataset
QUALITY