diff --git a/analytics/hashtag_frequencies.py b/analytics/hashtag_frequencies.py
deleted file mode 100644
index 2ded3d1..0000000
--- a/analytics/hashtag_frequencies.py
+++ /dev/null
@@ -1,123 +0,0 @@
-import os, sys
-import csv, json
-import argparse
-import matplotlib.pyplot as plt
-from datetime import datetime
-
-"""
-Plots the frequency of hashtags appearing in the set of given posts.
-"""
-
-
-sys.path.insert(0, '../tiktok_downloader')
-import file_methods, global_data
-
-
-
-def get_hashtags(obj):
-    if not obj:
-        print(f'ERROR: Empty item, no hashtags to be extracted.')
-        return
-    else:
-        hashtags = {}
-        tags = [ [tag['name'] for tag in ele['hashtags']] for ele in obj ]
-        tags = [ set(ele) for ele in tags ]
-        { tag: (1 if tag not in hashtags and not hashtags.update({tag: 1})
-            else hashtags[tag] + 1 and not hashtags.update({tag: hashtags[tag] + 1})) 
-            for ele in tags for tag in ele }
-        hashtags = sorted(hashtags.items(), key=lambda e: e[1], reverse=True)
-
-        return hashtags
-
-
-def get_occurrences(filename, n=1 , sort=True):
-    """
-    Takes the json file containing posts and returns a dictionary:
-    local variable occs = {
-        "total": total posts in the file,
-        top_n: [[top n hashtags ], [frequencies of corresponding hashtags]]
-    }
-    """
-    with open(filename) as f:
-        obj = json.load(f)
-        l = len(obj)
-        tags = get_hashtags(obj)
-        occs = {
-                "total": l,
-                "top_n": []
-                }
-        occs["top_n"] = [ [ ele[i] for ele in tags[0:n] ] for i in range(2)]
-        return occs
-
-
-def plot(n, occs, img_folder):
-    plt.scatter(occs["top_n"][0], occs["top_n"][1])
-    plt.tight_layout()
-    plt.xticks(rotation=45)
-    plt.title(f'Hashtag Distribution')
-    plt.xlabel(f'Top {n} hashtags from {occs["total"]} posts.')
-    plt.ylabel(f'Number of occurrences')
-    save_plot(img_folder)
-    plt.show(block=None)
-    return
-
-
-def print_occurrences(occs):
-    """
-    Prints the top n hashtags with their frequencies and the ratio of occurrences and total posts, all to the shell.
-    """
-    row_number = 0
-    total_posts = occs["total"]
-    print ("{:<8} {:<15} {:<15} {:<15}".format("Rank", 'Hashtag','Occurrences',f'Frequency (Occurrences/Total-Posts(total_posts))'))
-    for key,value in zip(occs["top_n"][0], occs["top_n"][1]):
-        ratio = value/total_posts 
-        print ("{:<8} {:<15} {:<15} {:<15}".format(row_number, key, value, ratio))
-        row_number += 1
-    return
-
-
-def save_plot(img_folder):
-    """
-    Saves the plot to a png file in the folder /data/imgs/
-    """
-    try:
-        now = datetime.now()
-        current_time = now.strftime("%Y_%m_%d_%H_%M_%S")
-        plt.savefig(f"{img_folder}/{current_time}.png")
-
-        return
-    except: raise
-
-
-
-if __name__ == "__main__":
-    """
-    Option "n" specifies how many hashtags does the user wants to plot.
-    "-d" option prints the hashtag frequencies on the shell
-    "-p" option plots the hashtag frequencies and saves as a png file in the folder /data/imgs/
-
-    The function get_occurances is triggered to compute and return the top n occurances and the hashtags.
-    """
-    img_folder = global_data.IMAGES
-    file_methods.check_file(img_folder, "dir")
-    parser = argparse.ArgumentParser()
-    parser.add_argument("input_file", help="The json hashtag file name")
-    parser.add_argument("n", help="The number of top n occurrences", type=int)
-    parser.add_argument("-p", "--plot", help="Plot the occurrences", action="store_true")
-    parser.add_argument("-d", "--print", help="List top n hashtags", action="store_true")
-    args = parser.parse_args()
-    if args.input_file and args.n:
-        if args.n < 1:
-            print(f"Please make sure the number of top occurrences is a positive integer.")
-            sys.exit()
-
-        base = os.path.splitext(args.input_file)[0]
-        path = f"./{base}_sorted_hashtags.csv"
-        if args.plot:
-            occs = get_occurrences(args.input_file, args.n)
-            plot(args.n, occs, img_folder)
-        else:
-            occs = get_occurrences(args.input_file, args.n)
-            print_occurrences(occs)
-    else:
-        print(f'ERROR: either {args.input_file} or {args.n} or both contains error.')
diff --git a/analytics/logging_analytics.py b/analytics/logging_analytics.py
deleted file mode 100644
index cba8ca5..0000000
--- a/analytics/logging_analytics.py
+++ /dev/null
@@ -1,4 +0,0 @@
-"""
-Yet to be written ...
-"""
-