<｜begin▁of▁sentence｜>### Instruction:
As a Mental Health Technician, I would like to visualize a set of 100 random data points generated using a normal distribution to better understand the distribution of certain symptoms among individuals with mental illness or psychiatric disorders. Using Plotly's Scatter plot API, I can create a visual representation of the data, which will help in identifying any patterns or outliers that may exist within the dataset.
### Response:
import plotly.graph_objs as go

# Create random data with numpy
import numpy as np
np.random.seed(1)

x = np.linspace(0, 1, 100)
y = np.random.randn(100)

# Create a trace
trace = go.Scatter(
    x = x,
    y = y,
    mode = 'markers'
)

data = [trace]

# Plot and embed in ipython notebook!
fig = go.Figure(data=data)
fig.show()
<|EOT|>
