diff --git a/results_new.ipynb b/results_new.ipynb
index 753de34..eb0f708 100644
--- a/results_new.ipynb
+++ b/results_new.ipynb
@@ -758,7 +758,16 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "After filtering out movies with a rating of 6 or lower, our initial analysis reveals a mean vote average of 5.44 and a median of 5.6. We then extracted the top 20 most common tropes in low-rated movies, with the top 5 being \"ShotOut\", \"HorrorFilms\", \"FilmsOfThe1980s\", \"BigBad\", and \"LargeHam\", each appearing in over 80 films. Now, we will analyze the distribution of these tropes across different genres."
+    "#### 6.1. What we have done for the initial analysis\n",
+    "\n",
+    "To explore the relationship between narrative tropes and audience reception, we first established a rating threshold of 6.0 on a 10-point scale to distinguish between low and high-rated movies. Starting with low-rated films, we identified the 20 most common tropes and visualized their frequencies using a bar plot.\n",
+    "\n",
+    "#### 6.2. Key observations\n",
+    "\n",
+    "* The mean vote average for the dataset was 5.44, with a median of 5.6 after filtering out movies rated 6 or lower.\n",
+    "* The top 20 most common tropes in low-rated films were identified, with \"ShotOut,\" \"HorrorFilms,\" \"FilmsOfThe1980s,\" \"BigBad,\" and \"LargeHam\" being the top 5, each appearing in over 80 films.\n",
+    "\n",
+    "Now, we will analyze the distribution of these tropes across different genres."
    ]
   },
   {
@@ -824,7 +833,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The plot shows the top 10 narrative tropes that appear disproportionately more often in low-rated films compared to high-rated ones. The y-axis lists the tropes, while the x-axis shows the ratio of appearance in low-rated vs. high-rated films. We analyze for this initial results only 3 genres: horror, adventure and comedy.\n",
+    "#### 7.1. What we have done for the initial analysis\n",
+    "\n",
+    "We focused our initial analysis on three specific genres: Horror, Adventure, and Comedy. For each genre, we categorized films into low-rated (≤6.0) and high-rated (>6.0) groups and analyzed the tropes associated with each category. To highlight tropes that were disproportionately present in poorly received films, we calculated the ratio of trope occurrences in low-rated films to high-rated films. Finally, we visualized the top 10 tropes with the highest low-to-high rating ratios for each genre to identify patterns that might contribute to negative audience reception. The y-axis lists the tropes, while the x-axis shows the ratio of appearance in low-rated vs. high-rated films.\n",
+    "\n",
+    "#### 7.2. Key observations\n",
     "\n",
     "Key observations for horror films:\n",
     "- \"BadSanta\" and \"JackassGenie\" tropes have the highest ratios (approximately 9-10x), suggesting these supernatural antagonist concepts rarely work well in horror films\n",
@@ -840,13 +853,15 @@
     "- Plot devices like \"FakinMacGuffin\" and \"LastRequest\" (both ~8x) appear to be overused in lower quality comedies\n",
     "- Character-based tropes such as \"TeenSuperspy\" and \"LiteralSplitPersonality\" (both ~5x) show that certain character archetypes may be harder to execute successfully\n",
     "\n",
-    "**Next steps:** We will expand the previous analysis to include all the genres, comparing the results to identify differences and similarities in how tropes influence reception across genres. Additionally, we plan to investigate the occurrence of tropes combinations in movies that failed by examining different tuples of up to three tropes, such as (\"Love Triangle\", \"Secret Identity\", \"Big Damn Kiss\"), to determine if certain trope combinations are more prone to result in a movie's failure."
+    "#### 7.3. Next steps\n",
+    "\n",
+    "We will expand the previous analysis to include all the genres, comparing the results to identify differences and similarities in how tropes influence reception across genres. Additionally, we plan to investigate the occurrence of tropes combinations in movies that failed by examining different tuples of up to three tropes, such as (\"Love Triangle\", \"Secret Identity\", \"Big Damn Kiss\"), to determine if certain trope combinations are more prone to result in a movie's failure."
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "ada",
    "language": "python",
    "name": "python3"
   },
@@ -860,7 +875,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,