Urban Data · Food Truck Survey

NYC Food Truck Pulse

A compact analytical dashboard built directly from the survey CSV: what people saw, what food was sold, how much it cost, how crowded it looked, and where the observations happened.

Dataset signal

32 observations

⌁

31 geocoded rows
1 geographic outlier detected and excluded from the initial NYC zoom.

Average item price

$9.62

Based on 22 rows with price data

Median item price

$10.00

Less sensitive to expensive outliers

Prices displayed

58%

Among rows with Yes / No data

Average queue

1.6

“6+” treated as 6 for analysis

Largest category

Halal

14 of 31 classified observations

Food mix

Share of classified observations

Average price by food type

Only rows with an average item price

Queue by time of day

Average customers waiting in each observed time slot

Workers vs. customers

Each dot is one observation; “6+” is plotted as 6

01 · Category concentration

Halal represents 45% of all classified observations, making it the strongest visible food-truck category in this sample.

n = 31 classified rows

02 · Price transparency

Only 58% of observations explicitly showed prices. That makes displayed pricing a useful behavior to compare against crowd size and food type.

Yes / No rows only

03 · Data quality

The map contains 1 distant coordinate outside the NYC cluster. It stays available as a marker, but the default view focuses on NYC so the local spatial pattern remains readable.

Quality check built in

Observation explorer

The original survey rows, embedded directly into this HTML.