Star performers

Visualizing the performance of people in a radar chart.

Importing libraries and packages

# Mathematical operations and data manipulation
import pandas as pd
import numpy as np

# Plotting
import matplotlib.pyplot as plt

# Warnings
import warnings

warnings.filterwarnings("ignore")

%matplotlib inline

Set paths

# Path to datasets directory
data_path = "./datasets"
# Path to assets directory (for saving results to)
assets_path = "./assets"

Loading dataframe

# Attributes: Efficiency, Quality, Commitment, Responsible Conduct, Cooperation
dataset = pd.DataFrame(
    {
        "Employee": ["Otto", "Alice", "Janet", "Chris"],
        "Efficiency": [
            5,
            4,
            4,
            3,
        ],
        "Quality": [5, 4, 5, 3],
        "Commitment": [5, 4, 4, 4],
        "Responsible Conduct": [4, 4, 5, 3],
        "Cooperation": [3, 4, 5, 5],
    }
)

Visualisation

# Create angle values
attributes = list(dataset.columns[1:])
values = list(dataset.values[:, 1:])
employees = list(dataset.values[:, 0])
angles = [
    n / float(len(attributes)) * 2 * np.pi for n in range(len(attributes))
]

# Close the plot
angles += angles[:1]
values = np.asarray(values)
values = np.concatenate([values, values[:, 0:1]], axis=1)

# Plotting
ax = plt.figure(figsize=(8, 8), dpi=150)
# Create subplots with polar projection
for i in range(4):
    ax = plt.subplot(2, 2, i + 1, polar=True)
    ax.plot(angles, values[i])
    ax.set_yticks([1, 2, 3, 4, 5])
    ax.set_xticklabels(attributes)
    ax.set_xticks(angles)
    ax.set_title(employees[i], fontsize=14, color="r")
# Set tight layout so nothing overlaps
plt.tight_layout()
# Show plot
plt.show()