Test data science task with Rust

Example Business Scenario

Customer want to predict the movement of selected sensors.

Raw Data

Accumulated positions from 10 sensors that send a position in 3D space (x, y, z) every minutes. The data format is

[[x1,y1,z1], [x2, y2, z2], ...], # sensors data of first minute
[[x1,y1,z1], [x2, y2, z2], ...], # sensors data of second minute

An example of 2 records:

[[0,0,0], [1,1,1], [2,2,2], [3,3,3], [4,4,4], [5,5,5], [6,6,6], [7,7,7], [8,8,8], [9,9,9]],
[[0,0,0], [2,2,2], [0,0,0], [4,4,4], [5,5,5], [6,6,6], [7,7,7], [8,8,8], [9,9,9], [0, 0, 0]]

An data for testing can be found in data.txt

Data cleansing

Pick first 5 sensors data and leave out all the rest. For example, the data will become:

[[0,0,0], [1,1,1], [2,2,2], [3,3,3], [4,4,4]],
[[0,0,0], [2,2,2], [0,0,0], [4,4,4], [5,5,5]]

Data conversion

Calculate euclidean distance between each record on each sensor. For example, the result will be:

[0, 1, 2, 1, 1]

Implementation

All implementation can be found in src/main.rs