diff --git a/zipfs.py b/zipfs.py
deleted file mode 100644
index 8d2112f..0000000
--- a/zipfs.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import argparse
-import itertools
-from collections import Counter
-
-from matplotlib import pyplot as plt
-from tabulate import tabulate
-
-from data.Dataset import Dataset
-from util.FileManager import write_txt
-from util.TextProcessor import clean_collection
-
-
-def _zipfs_distribution(counter: Counter):
-    prob_distribution = []
-    rows = []
-    total_count = sum(counter.values())
-    c = 0.0
-
-    for rank, (word, freq) in enumerate(counter.most_common(100)):
-        rank += 1
-        p = freq / total_count
-        pr = rank * p
-        c += pr
-        prob_distribution.append(p)
-        rows.append([word, freq, rank, "{:.3f}".format(p), "{:.3f}".format(pr)])
-
-    _plot_distribution(prob_distribution)
-    _report_parameters(rows, c)
-
-
-def _plot_distribution(prob_dist: list[float]):
-    zipf_dist = [0.1 / i for i in range(1, 101)]
-    _generate_figure(prob_dist, zipf_dist, title="Zipf's Law", x_label="Rank",
-                     y_label="Probability", file_name='zipf-plot.png')
-
-
-def _report_parameters(rows: list[list], c: float):
-    table = tabulate(rows, headers=['Word', 'Freq', 'r', 'Pr', 'r*Pr'])
-    c = round(c / len(rows), 3)
-    data = table + f'\n\nc = {c}'
-    file_name = 'zipf-parameters.txt'
-    write_txt(file_name, data)
-    print(f'{file_name} was created.')
-
-
-def _generate_figure(*data, title=None, x_label=None, y_label=None, file_name='figure.png'):
-    for d in data:
-        plt.plot(d)
-    plt.title(title)
-    plt.xlabel(x_label)
-    plt.ylabel(y_label)
-    plt.grid()
-    plt.savefig(file_name)
-    print(f'{file_name} was created.')
-
-
-def main():
-    parser = argparse.ArgumentParser(description='Zipfs law distribution plot and report.')
-    parser.add_argument('dataset', help='dataset for retrieving passages')
-    args = parser.parse_args()
-
-    print("This script is only for generating a distribution plot and parameter report for Zipfs law."
-          "\nTo run the IR models program, execute 'start.py'.")
-
-    print("Processing dataset - this will take a few minutes...")
-    dataset = Dataset(args.dataset)
-    collection = clean_collection(dataset.passages(), remove_sw=False)
-
-    print("Analysing data...")
-    words = list(itertools.chain.from_iterable(collection.values()))
-    counter = Counter(words)
-
-    print("Generating plot...")
-    _zipfs_distribution(counter)
-
-
-if __name__ == '__main__':
-    main()