diff --git a/.github/md-generator/__pycache__/generate_graph.cpython-311.pyc b/.github/md-generator/__pycache__/generate_graph.cpython-311.pyc
index e4c2049c69..3b163b65ac 100644
Binary files a/.github/md-generator/__pycache__/generate_graph.cpython-311.pyc and b/.github/md-generator/__pycache__/generate_graph.cpython-311.pyc differ
diff --git a/.github/md-generator/generate_graph.py b/.github/md-generator/generate_graph.py
index 748037c781..56550abd17 100644
--- a/.github/md-generator/generate_graph.py
+++ b/.github/md-generator/generate_graph.py
@@ -87,8 +87,14 @@ def create_bar_representation(unique_counts, equivalence_percentages, all_equiva
 
 
 def icons_equivalence_data_table(root_folder):
-    folders = [os.path.join(root_folder, folder) for folder in os.listdir(root_folder) if os.path.isdir(os.path.join(root_folder, folder))]
-    labels = [os.path.basename(folder) for folder in folders]
+    # Define the desired order of folders
+    desired_order = ["telefonica", "o2", "vivo-new", "blau"]  # Add more folders as needed
+    
+    # Create full paths for the folders in the desired order
+    folders = [os.path.join(root_folder, folder) for folder in desired_order]
+    
+    # Extract labels from folder names
+    labels = desired_order
 
     unique_counts = [count_unique_icons(folder) for folder in folders]
     equivalent_counts = [count_equivalent_icons(folder, folders) for folder in folders]
@@ -139,4 +145,3 @@ def icons_equivalence_data_table(root_folder):
     markdown_table += "---"
 
     return markdown_table
-
diff --git a/.github/md-generator/generate_markdown.py b/.github/md-generator/generate_markdown.py
index a0cd90a74c..7d17d88edf 100644
--- a/.github/md-generator/generate_markdown.py
+++ b/.github/md-generator/generate_markdown.py
@@ -1,13 +1,18 @@
-# generate_markdown.py
-
 import os
 import sys
 from generate_icon_table import generate_icon_table
 from generate_graph import create_bar_representation, icons_equivalence_data_table, count_total_icons, count_unique_icons, count_equivalent_icons, count_all_equivalent_icons
 
 def generate_bar_representation(icons_folder):
-    folders = [os.path.join(icons_folder, folder) for folder in os.listdir(icons_folder) if os.path.isdir(os.path.join(icons_folder, folder))]
-    labels = [os.path.basename(folder) for folder in folders]
+    # Define the desired order of folders
+    desired_order = ["telefonica", "o2", "vivo-new", "blau"]  # Add more folders as needed
+    
+    # Create full paths for the folders in the desired order
+    folders = [os.path.join(icons_folder, folder) for folder in desired_order]
+    
+    # Extract labels from folder names
+    labels = desired_order
+    
     total_counts = [count_total_icons(folder) for folder in folders]
     unique_counts = [count_unique_icons(folder) for folder in folders]
     equivalence_percentages = [count_equivalent_icons(folder, folders) for folder in folders]
@@ -24,6 +29,7 @@ def generate_bar_representation(icons_folder):
     
     return bar_content
 
+
 def main():
     BREAK = "\n"
 
diff --git a/README.md b/README.md
index 393077128f..6f1c212f49 100644
--- a/README.md
+++ b/README.md
@@ -29,26 +29,26 @@ Use Mística icons library in Figma!
 
 ## Equivalence status
 
+telefonica  
+ ![](https://dummyimage.com/4x8/0066FF/000000?text=+)![](https://dummyimage.com/190x8/EAC344/000000?text=+)![](https://dummyimage.com/93x8/59C2C9/000000?text=+)![](https://dummyimage.com/213x8/D1D5E4/000000?text=+)
+
 o2  
  ![](https://dummyimage.com/6x8/0066FF/000000?text=+)![](https://dummyimage.com/249x8/EAC344/000000?text=+)![](https://dummyimage.com/67x8/59C2C9/000000?text=+)![](https://dummyimage.com/178x8/D1D5E4/000000?text=+)
 
-blau  
- ![](https://dummyimage.com/24x8/0066FF/000000?text=+)![](https://dummyimage.com/459x8/EAC344/000000?text=+)![](https://dummyimage.com/12x8/59C2C9/000000?text=+)![](https://dummyimage.com/5x8/D1D5E4/000000?text=+)
-
 vivo-new  
  ![](https://dummyimage.com/59x8/0066FF/000000?text=+)![](https://dummyimage.com/241x8/EAC344/000000?text=+)![](https://dummyimage.com/11x8/59C2C9/000000?text=+)![](https://dummyimage.com/189x8/D1D5E4/000000?text=+)
 
-telefonica  
- ![](https://dummyimage.com/4x8/0066FF/000000?text=+)![](https://dummyimage.com/190x8/EAC344/000000?text=+)![](https://dummyimage.com/93x8/59C2C9/000000?text=+)![](https://dummyimage.com/213x8/D1D5E4/000000?text=+)
+blau  
+ ![](https://dummyimage.com/24x8/0066FF/000000?text=+)![](https://dummyimage.com/459x8/EAC344/000000?text=+)![](https://dummyimage.com/12x8/59C2C9/000000?text=+)![](https://dummyimage.com/5x8/D1D5E4/000000?text=+)
 
 <br/>
 
 | Icon Set | Icon Concepts | Total Icons | Icons with All Equivalence | Icons with Equivalence | Unique Icons | Remaining |
 |:--------|-------------:|--------------:|----------:|------------------------:|---------------------------:|-------------:|
+| telefonica | 420 | 1193 | 0.9% | 38.1% | 18.7% | 42.3% |
 | o2 | 302 | 894 | 1.2% | 49.9% | 13.5% | 35.4% |
-| blau | 57 | 61 | 4.9% | 91.8% | 2.5% | 0.7% |
 | vivo-new | 50 | 93 | 11.8% | 48.4% | 2.2% | 37.6% |
-| telefonica | 420 | 1193 | 0.9% | 38.1% | 18.7% | 42.3% |
+| blau | 57 | 61 | 4.9% | 91.8% | 2.5% | 0.7% |
 
 <sub>**Icon Set:** The name of the brand or folder being analyzed.</sub>  
 <sub>**Icon Concepts:** The number of unique icons in the set, i.e., those icons whose names do not repeat within the same brand.</sub>