Free WiFi to monitor flow in Hanoian traditional markets
Demographics, Timing and Frequency of Visitor Behaviour
By [source]
About this dataset
This dataset provides an invaluable window into the food flows in traditional markets in Hanoi, Vietnam. As this dataset includes crucial information about visitors' demographics (role and gender), as well as their timing and frequency of visits, we’re afforded a unique opportunity to gain deeper insight into how people access food and its supply chain. By leveraging this data, policy makers are able to devise better strategies for distributions channels that better support underserved communities; identify potential areas where there may be gaps or issues with food safety regulations; assess which neighborhoods require immediate attention when it comes to alleviating food insecurity. Allowing us to look at key indicators like mac address, market name, role of visitor, gender of visitor, median time of first visit, median time last visit seen duration/time per day visited per week as well as total duration visible in connection with number days one visited the market – this valuable resource can be used to build comprehensive solutions that provide real improvements for everyone involved
More Datasets
For more datasets, click here.
Featured Notebooks
- 🚨 Your notebook can be here! 🚨!
How to use the dataset
This guide provides an overview of the data and how it can be used to track the movement of people within traditional markets in Hanoi, Vietnam.
The dataset contains information on the demographics, timing and frequency of visitors to traditional markets in Hanoi, Vietnam. It includes columns such as mac (unique identifier), market (name), role (role of visitor e.g. customer), gender (of visitor), median first seen and last seen times, average time/duration/day spent at a given market per group as well as total duration spent at all markets combined over a period of time.
Research Ideas
- Identifying areas of food insecurity in Hanoi and providing resources or assistance to those areas.
- Analyzing the demographics of regular customers to better understand who should be targeted with marketing efforts.
- Using the timing data to help understand customer behavior and identify peak times when more employees might need to be on hand at certain markets
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: preshock.csv
| Column name |
Description |
| mac |
Unique identifier for each user. (String) |
| market |
Name of the market the user visited. (String) |
| role |
Role of the user (customer or vendor). (String) |
| gender |
Gender of the user. (String) |
| median_first_seen |
Median time of first visit to the market. (Time) |
| median_last_seen |
Median time of last visit to the market. (Time) |
| average_time_day |
Average time spent in the market per day. (Time) |
| average_duration_day |
Average duration of each visit to the market per day. (Time) |
| average_day_week |
Average number of days the user visited the market per week. (Integer) |
| average_total_day_seen |
Average total time spent in the market per day. (Time) |
| total_durantion |
Total duration of all visits to the market. (Time) |
File: baseline.csv
| Column name |
Description |
| mac |
Unique identifier for each user. (String) |
| market |
Name of the market the user visited. (String) |
| role |
Role of the user (customer or vendor). (String) |
| gender |
Gender of the user. (String) |
| median_first_seen |
Median time of first visit to the market. (Time) |
| median_last_seen |
Median time of last visit to the market. (Time) |
| average_time_day |
Average time spent in the market per day. (Time) |
| average_duration_day |
Average duration of each visit to the market per day. (Time) |
| average_day_week |
Average number of days the user visited the market per week. (Integer) |
| average_total_day_seen |
Average total time spent in the market per day. (Time) |
| total_durantion |
Total duration of all visits to the market. (Time) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .