{"cells":[{"cell_type":"markdown","metadata":{"id":"MtL3kbn8Ht-Q"},"source":["# **🤖 Data Analysis & Visualization**\n","### Yelp Restaurant Reviews — EDA, Sentiment, Random Forest & ARIMA"]},{"cell_type":"markdown","metadata":{"id":"oJYz9yynHt-R"},"source":["## **1.** 📦 Install required packages"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"kTvh1d_BHt-R","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1777125148519,"user_tz":-120,"elapsed":7358,"user":{"displayName":"Enrico Ulivi","userId":"10821252388980440354"}},"outputId":"c77f386e-820f-44d7-b603-9062fb6d12dc"},"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: pandas in /usr/local/lib/python3.12/dist-packages (2.2.2)\n","Requirement already satisfied: matplotlib in /usr/local/lib/python3.12/dist-packages (3.10.0)\n","Requirement already satisfied: seaborn in /usr/local/lib/python3.12/dist-packages (0.13.2)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (2.0.2)\n","Requirement already satisfied: statsmodels in /usr/local/lib/python3.12/dist-packages (0.14.6)\n","Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (1.6.1)\n","Collecting vaderSentiment\n"," Downloading vaderSentiment-3.3.2-py2.py3-none-any.whl.metadata (572 bytes)\n","Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas) (2.9.0.post0)\n","Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas) (2025.2)\n","Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas) (2026.1)\n","Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.3.3)\n","Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (0.12.1)\n","Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (4.62.1)\n","Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.5.0)\n","Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (26.0)\n","Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (11.3.0)\n","Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (3.3.2)\n","Requirement already satisfied: scipy!=1.9.2,>=1.8 in /usr/local/lib/python3.12/dist-packages (from statsmodels) (1.16.3)\n","Requirement already satisfied: patsy>=0.5.6 in /usr/local/lib/python3.12/dist-packages (from statsmodels) (1.0.2)\n","Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (1.5.3)\n","Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (3.6.0)\n","Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from vaderSentiment) (2.32.4)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n","Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests->vaderSentiment) (3.4.7)\n","Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests->vaderSentiment) (3.11)\n","Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests->vaderSentiment) (2.5.0)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests->vaderSentiment) (2026.2.25)\n","Downloading vaderSentiment-3.3.2-py2.py3-none-any.whl (125 kB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m126.0/126.0 kB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hInstalling collected packages: vaderSentiment\n","Successfully installed vaderSentiment-3.3.2\n"]}],"source":["!pip install pandas matplotlib seaborn numpy statsmodels scikit-learn vaderSentiment"]},{"cell_type":"markdown","metadata":{"id":"9A0lwvkmHt-R"},"source":["## **2.** ✅ Load & inspect input datasets"]},{"cell_type":"markdown","metadata":{"id":"SRjfusehHt-R"},"source":["### *a. Initial setup*"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"pfYbYlwfHt-S","executionInfo":{"status":"ok","timestamp":1777125153091,"user_tz":-120,"elapsed":4560,"user":{"displayName":"Enrico Ulivi","userId":"10821252388980440354"}}},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","import random\n","import warnings\n","import matplotlib.pyplot as plt\n","import matplotlib.dates as mdates\n","import seaborn as sns\n","\n","warnings.filterwarnings(\"ignore\")\n","random.seed(2025)\n","np.random.seed(2025)"]},{"cell_type":"markdown","metadata":{"id":"ovxGLneaHt-S"},"source":["### *b. Load the real Yelp reviews (output of Notebook 1)*"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"DSmOvBrLHt-S","colab":{"base_uri":"https://localhost:8080/","height":224},"executionInfo":{"status":"ok","timestamp":1777125153707,"user_tz":-120,"elapsed":607,"user":{"displayName":"Enrico Ulivi","userId":"10821252388980440354"}},"outputId":"b676c080-124d-42c6-837a-8ebfe287bd05"},"outputs":[{"output_type":"stream","name":"stdout","text":["df_reviews: (19896, 8)\n"]},{"output_type":"execute_result","data":{"text/plain":[" yelp_url rating date \\\n","0 https://www.yelp.com/biz/sidney-dairy-barn-sidney 5 2022-01-22 \n","1 https://www.yelp.com/biz/sidney-dairy-barn-sidney 4 2022-06-26 \n","2 https://www.yelp.com/biz/sidney-dairy-barn-sidney 5 2021-08-07 \n","3 https://www.yelp.com/biz/sidney-dairy-barn-sidney 4 2016-07-28 \n","4 https://www.yelp.com/biz/sidney-dairy-barn-sidney 5 2015-06-23 \n","\n"," review_text \\\n","0 All I can say is they have very good ice cream... \n","1 Nice little local place for ice cream.My favor... \n","2 A delicious treat on a hot day! Staff was very... \n","3 This was great service and a fun crew! I got t... \n","4 This is one of my favorite places to get ice c... \n","\n"," restaurant year month sentiment_label \n","0 Sidney Dairy Barn Sidney 2022 2022-01 positive \n","1 Sidney Dairy Barn Sidney 2022 2022-06 positive \n","2 Sidney Dairy Barn Sidney 2021 2021-08 positive \n","3 Sidney Dairy Barn Sidney 2016 2016-07 positive \n","4 Sidney Dairy Barn Sidney 2015 2015-06 positive "],"text/html":["\n","
\n","
\n","\n","
\n"," \n","
\n","
\n","
yelp_url
\n","
rating
\n","
date
\n","
review_text
\n","
restaurant
\n","
year
\n","
month
\n","
sentiment_label
\n","
\n"," \n"," \n","
\n","
0
\n","
https://www.yelp.com/biz/sidney-dairy-barn-sidney
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5
\n","
2022-01-22
\n","
All I can say is they have very good ice cream...
\n","
Sidney Dairy Barn Sidney
\n","
2022
\n","
2022-01
\n","
positive
\n","
\n","
\n","
1
\n","
https://www.yelp.com/biz/sidney-dairy-barn-sidney
\n","
4
\n","
2022-06-26
\n","
Nice little local place for ice cream.My favor...
\n","
Sidney Dairy Barn Sidney
\n","
2022
\n","
2022-06
\n","
positive
\n","
\n","
\n","
2
\n","
https://www.yelp.com/biz/sidney-dairy-barn-sidney
\n","
5
\n","
2021-08-07
\n","
A delicious treat on a hot day! Staff was very...
\n","
Sidney Dairy Barn Sidney
\n","
2021
\n","
2021-08
\n","
positive
\n","
\n","
\n","
3
\n","
https://www.yelp.com/biz/sidney-dairy-barn-sidney
\n","
4
\n","
2016-07-28
\n","
This was great service and a fun crew! I got t...
\n","
Sidney Dairy Barn Sidney
\n","
2016
\n","
2016-07
\n","
positive
\n","
\n","
\n","
4
\n","
https://www.yelp.com/biz/sidney-dairy-barn-sidney
\n","
5
\n","
2015-06-23
\n","
This is one of my favorite places to get ice c...
\n","
Sidney Dairy Barn Sidney
\n","
2015
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2015-06
\n","
positive
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\n"," \n","
\n","
\n","
\n","\n","
\n"," \n","\n"," \n","\n"," \n","
\n","\n","\n","
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"df_reviews","summary":"{\n \"name\": \"df_reviews\",\n \"rows\": 19896,\n \"fields\": [\n {\n \"column\": \"yelp_url\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 49,\n \"samples\": [\n \"https://www.yelp.com/biz/melt-phoenix\",\n \"https://www.yelp.com/biz/the-peach-cobbler-factory-charlotte\",\n \"https://www.yelp.com/biz/ice-cream-social-madison\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"rating\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1,\n \"min\": 1,\n \"max\": 5,\n \"num_unique_values\": 5,\n \"samples\": [\n 4,\n 3,\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2005-06-24 00:00:00\",\n \"max\": \"2022-08-02 00:00:00\",\n \"num_unique_values\": 4396,\n \"samples\": [\n \"2021-05-25 00:00:00\",\n \"2017-05-07 00:00:00\",\n \"2018-06-30 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"review_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 19895,\n \"samples\": [\n \"Just realized I never wrote a review for Fatty Daddy's and this place definitely deserves one! I went here a few months back for some desert on my birthday and it was wonderful! It is a little hard to find as it's facing an odd direction in a small shopping plaza but it is a hidden gem. When you first walk in it's quite small with a few tables to sit down at (along with some tables outside) and it's super cute with bright fun colors inside. The lady who was working there was very nice and let us sample as many of the flavors as we wanted as it was our first time there. They have a lot of interesting flavors so I suggest trying a few that catch your eye. My favorites that I tried were the Cinnamon Toast Crunch and the Nutella. I decided on a cookie cup and got those two flavors and a red velvet macaroon, along with the toasted marshmallow on top. I wish I had taken a picture because it looked so yummy, but you can probably already tell by all of the pictures that everyone else has took. Everything about my cookie cup was delicious! The ice cream was of course wonderful, as well as the macaroon, but my favorite was the marshmallow. It was perfectly toasted and was slightly crispy on the outside and so gooey on the inside! I will definitely be coming back here and I can say with no hesitation that this is one of my new favorite ice cream places!\",\n \"All I can say about this place is... you must try a chocolate covered strawberry! They are huge and juicy and delicious! The baked goods look amazing and taste like a little slice of heaven. They have bakers next door baking to fill up the yummy treats for the store. You can't go wrong with the deliciousness from here!\",\n \"This place is the bomb.com. Those Yum-ee Buns will give you life! I am a huge fan of dessert. If I had it my way, I would eat dessert for breakfast, lunch, & dinner. When I stumbled upon this place, I couldn't believe they were serving ice cream in warm donuts (Yum-ee Buns). I mean what genius came up with this? But in all seriousness, this spot is probably one of the best dessert places I have been to in my life. The menu selection is huge & very unique! You can order anything from ice cream, milkshakes, Yum-ee Buns (they are huge!), macaron ice cream sandwiches, cookie dough pops, & so much more. You can even order ice cream with your favorite cereals mixed in! I ordered the Cookie Monster Yum-ee Bun with cookies & cream ice cream, oreos, & Cookie Crisp cereal. My husband ordered the Peanut Butter Galore Yum-ee Bun with chocolate ice cream, peanut butter drizzle, chocolate syrup, & Reese's cups. The Cookie Monster was absolutely delicious! I would highly recommend this if you are unsure of what to order or if it is your first time. The Yum-ee Bun is priced at $5.95 & each additional topping costs 50 cents. It's on the pricer side for dessert, but can easily be split between two people. I wish I would have known that before ordering my very own Yum-ee Bun! Expect a wait. When we arrived, the line was out the door. My husband & I waited about 25 minutes before we got our buns, but it was absolutely worth it. We will definitely be back in the future!\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"restaurant\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 49,\n \"samples\": [\n \"Melt Phoenix\",\n \"The Peach Cobbler Factory Charlotte\",\n \"Ice Cream Social Madison\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"year\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 3,\n \"min\": 2005,\n \"max\": 2022,\n \"num_unique_values\": 18,\n \"samples\": [\n 2022,\n 2021,\n 2011\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"month\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 191,\n \"samples\": [\n \"2009-08\",\n \"2014-04\",\n \"2009-02\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sentiment_label\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"positive\",\n \"negative\",\n \"neutral\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":3}],"source":["df_reviews = pd.read_csv(\"yelp_reviews_clean.csv\", parse_dates=[\"date\"])\n","\n","# Safety: recreate columns if CSV is missing them (e.g. using original Yelp file)\n","if \"restaurant\" not in df_reviews.columns:\n"," col = [c for c in df_reviews.columns if \"url\" in c.lower() or \"yelp\" in c.lower()]\n"," df_reviews[\"restaurant\"] = df_reviews[col[0]].str.split(\"/biz/\").str[-1] if col else \"unknown\"\n","if \"sentiment_label\" not in df_reviews.columns:\n"," df_reviews[\"sentiment_label\"] = df_reviews[\"rating\"].apply(\n"," lambda r: \"positive\" if r>=4 else (\"neutral\" if r==3 else \"negative\"))\n","\n","print(f\"df_reviews: {df_reviews.shape}\")\n","df_reviews.head()"]},{"cell_type":"markdown","metadata":{"id":"lf3v1TUoHt-S"},"source":["### *c. Load the synthetic venue features and monthly revenue (output of Notebook 1)*"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"_a8WIt4lHt-S","colab":{"base_uri":"https://localhost:8080/","height":362},"executionInfo":{"status":"ok","timestamp":1777125153794,"user_tz":-120,"elapsed":84,"user":{"displayName":"Enrico Ulivi","userId":"10821252388980440354"}},"outputId":"3b5b9e9f-08a5-4063-8ce8-2fc4bb40dcd2"},"outputs":[{"output_type":"stream","name":"stdout","text":["df_venues: (49, 19)\n","df_revenue: (882, 4)\n","df_monthly: (18, 2)\n"]},{"output_type":"execute_result","data":{"text/plain":[" restaurant total_reviews avg_rating \\\n","0 85 C Bakery Cafe Las Vegas 2 427 3.688525 \n","1 Amélies French Bakery And Café Charlotte 11 2042 4.075906 \n","2 Batch Bakehouse Madison 205 4.643902 \n","3 Bouchon Bakery Las Vegas 10 1386 4.000000 \n","4 Caffé Bene Urbana 3 71 3.112676 \n","\n"," pct_positive pct_negative first_review last_review venue_type \\\n","0 0.641686 0.231850 2019-11-22 2022-07-26 Dessert Bar \n","1 0.768854 0.115083 2008-08-07 2022-07-23 Ice Cream Shop \n","2 0.936585 0.029268 2009-10-11 2022-07-08 Dessert Bar \n","3 0.751804 0.128427 2007-03-10 2022-07-26 Boba & Ice Cream \n","4 0.408451 0.338028 2014-04-24 2022-03-02 Boba & Ice Cream \n","\n"," city price_tier staff_count years_open monthly_footfall \\\n","0 Madison $ 5 5 801 \n","1 Madison $ 15 16 745 \n","2 Madison $$ 2 15 950 \n","3 Pittsburgh $$ 12 17 773 \n","4 Pittsburgh $$ 2 10 693 \n","\n"," delivery_available seating_capacity n_negative n_neutral n_positive \\\n","0 True 76 99 54 274 \n","1 False 80 235 237 1570 \n","2 False 57 6 7 192 \n","3 False 45 178 166 1042 \n","4 True 79 24 18 29 \n","\n"," label \n","0 0 \n","1 1 \n","2 1 \n","3 1 \n","4 0 "],"text/html":["\n","
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\n"},"metadata":{}}],"source":["fig, ax = plt.subplots(figsize=(7, 5))\n","sent_counts = df_reviews[\"sentiment_label\"].value_counts()\n","palette = {\"positive\":\"#27ae60\",\"neutral\":\"#f39c12\",\"negative\":\"#e74c3c\"}\n","bars = ax.bar(sent_counts.index, sent_counts.values,\n"," color=[palette[s] for s in sent_counts.index], edgecolor=\"white\")\n","for bar, val in zip(bars, sent_counts.values):\n"," ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 80,\n"," f\"{val:,} ({val/len(df_reviews):.1%})\", ha=\"center\", va=\"bottom\", fontsize=10, fontweight=\"bold\")\n","ax.set_title(\"💬 Sentiment Label Distribution\", fontsize=14, fontweight=\"bold\")\n","ax.set_ylabel(\"Reviews\")\n","sns.despine()\n","plt.tight_layout()\n","plt.savefig(PY_FIG / \"sentiment_distribution.png\", dpi=150)\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"SGEVmQe5Ht-U"},"source":["### *e. Reviews over time — are people reviewing more or less?*"]},{"cell_type":"code","execution_count":14,"metadata":{"id":"3TGBy5SlHt-U","colab":{"base_uri":"https://localhost:8080/","height":507},"executionInfo":{"status":"ok","timestamp":1777125188014,"user_tz":-120,"elapsed":556,"user":{"displayName":"Enrico Ulivi","userId":"10821252388980440354"}},"outputId":"4237f4d2-3005-4206-c5f5-2222bc91b153"},"outputs":[{"output_type":"display_data","data":{"text/plain":["
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AAAAANv9P+QCy394JsaDAAAAAElFTkSuQmCC\n"},"metadata":{}}],"source":["monthly_count = (\n"," df_reviews.dropna(subset=[\"date\"])\n"," .groupby(df_reviews[\"date\"].dt.to_period(\"Y\"))\n"," .size()\n"," .reset_index(name=\"n_reviews\")\n",")\n","monthly_count[\"date\"] = monthly_count[\"date\"].dt.to_timestamp()\n","\n","fig, ax = plt.subplots(figsize=(12, 5))\n","ax.fill_between(monthly_count[\"date\"], monthly_count[\"n_reviews\"], alpha=0.3, color=\"#3498db\")\n","ax.plot(monthly_count[\"date\"], monthly_count[\"n_reviews\"], color=\"#3498db\", linewidth=2)\n","ax.set_title(\"📅 Number of Yelp Reviews Per Year\", fontsize=14, fontweight=\"bold\")\n","ax.set_xlabel(\"Year\")\n","ax.set_ylabel(\"Number of Reviews\")\n","ax.xaxis.set_major_formatter(mdates.DateFormatter(\"%Y\"))\n","sns.despine()\n","plt.tight_layout()\n","plt.savefig(PY_FIG / \"reviews_over_time.png\", dpi=150)\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"hkIciNpTHt-U"},"source":["### *f. Stacked sentiment by restaurant (top 15 by volume)*"]},{"cell_type":"code","execution_count":15,"metadata":{"id":"eIvJXkXJHt-U","colab":{"base_uri":"https://localhost:8080/","height":807},"executionInfo":{"status":"ok","timestamp":1777125188719,"user_tz":-120,"elapsed":704,"user":{"displayName":"Enrico Ulivi","userId":"10821252388980440354"}},"outputId":"a47fdc63-c9b3-4771-ae85-cb528b08375b"},"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}],"source":["top15 = df_reviews[\"restaurant\"].value_counts().head(15).index\n","df_top15 = df_reviews[df_reviews[\"restaurant\"].isin(top15)]\n","\n","pivot = (\n"," df_top15.groupby([\"restaurant\",\"sentiment_label\"])\n"," .size()\n"," .unstack(fill_value=0)\n"," [[\"positive\",\"neutral\",\"negative\"]]\n",")\n","pivot_pct = pivot.div(pivot.sum(axis=1), axis=0)\n","pivot_pct.index = pivot_pct.index.str[:28]\n","pivot_pct = pivot_pct.sort_values(\"positive\", ascending=True)\n","\n","fig, ax = plt.subplots(figsize=(10, 8))\n","pivot_pct.plot.barh(stacked=True, ax=ax,\n"," color={\"positive\":\"#27ae60\",\"neutral\":\"#f39c12\",\"negative\":\"#e74c3c\"})\n","ax.set_title(\"💬 Sentiment Mix — Top 15 Restaurants (% of reviews)\", fontsize=13, fontweight=\"bold\")\n","ax.set_xlabel(\"Share of Reviews\")\n","ax.legend(title=\"Sentiment\", bbox_to_anchor=(1, 0.5), loc=\"center left\")\n","sns.despine()\n","plt.tight_layout()\n","plt.savefig(PY_FIG / \"sentiment_by_restaurant.png\", dpi=150)\n","plt.show()\n","pivot.reset_index().to_csv(PY_TAB / \"sentiment_counts_by_restaurant.csv\", index=False)"]},{"cell_type":"markdown","metadata":{"id":"Eh6wQvWGHt-U"},"source":["## **5.** 🔮 ARIMA revenue forecasting\n","We use ARIMA to forecast the next 6 months of total revenue across all venues — the same technique as in the blueprint, adapted to our synthetic revenue series."]},{"cell_type":"markdown","metadata":{"id":"qfaxTyVDHt-U"},"source":["### *a. Import ARIMA dependencies*"]},{"cell_type":"code","execution_count":29,"metadata":{"id":"3xlVHSdWHt-U","executionInfo":{"status":"ok","timestamp":1777125800911,"user_tz":-120,"elapsed":10,"user":{"displayName":"Enrico Ulivi","userId":"10821252388980440354"}}},"outputs":[],"source":["import statsmodels.api as sm\n","from itertools import product"]},{"cell_type":"markdown","metadata":{"id":"rKCU2Z8uHt-U"},"source":["### *b. Auto-select the best ARIMA (p,d,q) parameters*"]},{"cell_type":"code","execution_count":30,"metadata":{"id":"-lN8Q7JLHt-U","executionInfo":{"status":"ok","timestamp":1777125800957,"user_tz":-120,"elapsed":38,"user":{"displayName":"Enrico Ulivi","userId":"10821252388980440354"}}},"outputs":[],"source":["def find_best_arima(series, p_range=(0,3), d_range=(0,2), q_range=(0,1)):\n"," best_aic = float(\"inf\")\n"," best_order = (1, 1, 0)\n"," best_model = None\n"," for p, d, q in product(range(*[r+1 for r in p_range]),\n"," range(*[r+1 for r in d_range]),\n"," range(*[r+1 for r in q_range])):\n"," try:\n"," m = sm.tsa.ARIMA(series, order=(p, d, q)).fit()\n"," if m.aic < best_aic:\n"," best_aic, best_order, best_model = m.aic, (p, d, q), m\n"," except:\n"," continue\n"," print(f\" Best ARIMA order: {best_order} | AIC: {best_aic:.1f}\")\n"," return best_order, best_model"]},{"cell_type":"markdown","metadata":{"id":"t4DFwpFYHt-V"},"source":["### *c. Fit model on total monthly revenue and forecast 6 months ahead*"]},{"cell_type":"code","execution_count":43,"metadata":{"id":"BrssngoJHt-V","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1777126070180,"user_tz":-120,"elapsed":4411,"user":{"displayName":"Enrico Ulivi","userId":"10821252388980440354"}},"outputId":"247bf226-b9a6-4c71-95a6-cff1559422c8"},"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting ARIMA on monthly revenue series...\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n","/usr/local/lib/python3.12/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n"," self._init_dates(dates, freq)\n"]},{"output_type":"stream","name":"stdout","text":[" Best ARIMA order: (1, 2, 1) | AIC: 374.4\n"]},{"output_type":"display_data","data":{"text/plain":["