{
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    "# Bellabeat Case Study — How Can a Wellness Company Play It Smart?\n",
    "### Google Data Analytics Capstone · Junior Data Analyst, Bellabeat Marketing Analytics Team\n",
    "\n",
    "**Autore:** Luca Mulazzi · **Data:** giugno 2026\n",
    "\n",
    "Questo case study segue il processo di analisi dati in 6 fasi — **Ask · Prepare · Process · Analyze · Share · Act** — per analizzare l'uso di smart device fitness e tradurlo in raccomandazioni di marketing per **Bellabeat**, azienda tech di prodotti per il benessere femminile."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d4c1f7c",
   "metadata": {},
   "source": [
    "## 1. Ask\n",
    "\n",
    "### Contesto di business\n",
    "Urška Sršen (cofondatrice e CCO di Bellabeat) ritiene che analizzare i dati dei fitness tracker possa aprire opportunità di crescita. Il compito è analizzare come i consumatori usano smart device **non-Bellabeat** e applicare gli insight a un prodotto Bellabeat.\n",
    "\n",
    "### Business task\n",
    "> **Identificare i trend di utilizzo degli smart device fitness e tradurli in raccomandazioni concrete per la strategia di marketing di un prodotto Bellabeat.**\n",
    "\n",
    "### Domande guida\n",
    "1. Quali sono i trend nell'uso degli smart device?\n",
    "2. Come si applicano questi trend ai clienti Bellabeat?\n",
    "3. Come possono influenzare la strategia di marketing di Bellabeat?\n",
    "\n",
    "### Stakeholder\n",
    "- **Urška Sršen** — cofondatrice & Chief Creative Officer (decision maker)\n",
    "- **Sando Mur** — cofondatore, team esecutivo\n",
    "- **Team Marketing Analytics** — destinatari operativi dell'analisi\n",
    "\n",
    "### Deliverable\n",
    "Riepilogo del business task · descrizione delle fonti · documentazione della pulizia · analisi · visualizzazioni · **top 3 raccomandazioni**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce7bcf25",
   "metadata": {},
   "source": [
    "## 2. Prepare\n",
    "\n",
    "### Fonte dati\n",
    "**FitBit Fitness Tracker Data** (Kaggle, CC0 Public Domain, via Mobius). 30+ utenti FitBit che hanno acconsentito a condividere dati a livello di minuto su attività, frequenza cardiaca e sonno, dal **12 aprile al 12 maggio 2016** (~31 giorni). I dati sono organizzati in 18 file CSV in formato *long* e *wide*.\n",
    "\n",
    "### Valutazione di credibilità — ROCCC\n",
    "| Criterio | Valutazione | Note |\n",
    "|---|---|---|\n",
    "| **R**eliable | ⚠️ Bassa | Solo ~30 utenti, campione piccolo e non casuale |\n",
    "| **O**riginal | ⚠️ Media | Dati di terze parti raccolti via Amazon Mechanical Turk |\n",
    "| **C**omprehensive | ⚠️ Media | Manca la **demografia** (sesso, età): critico per un brand femminile |\n",
    "| **C**urrent | ❌ Bassa | Dati del **2016**, oltre 8 anni fa |\n",
    "| **C**ited | ✅ | Fonte documentata (Kaggle/Mobius) |\n",
    "\n",
    "### Limiti principali (da tenere a mente nelle raccomandazioni)\n",
    "- **Campione ridotto**: 33 utenti per l'attività, **24** per il sonno, solo **8** per il peso.\n",
    "- **Nessun dato demografico** → non possiamo verificare che il campione rappresenti donne (target Bellabeat).\n",
    "- **Finestra di 1 mese** e dati datati (2016).\n",
    "- Il file peso ha la colonna *Fat* quasi sempre vuota (65/67) → inutilizzabile.\n",
    "\n",
    "➡️ Per un'analisi reale andrebbe integrato un dataset più recente, demografico e con campione più ampio."
   ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "activity: (940, 15) | sleep: (413, 5) | weight: (67, 8) | hourly: (22099, 3)\n"
     ]
    }
   ],
   "source": [
    "# --- Import delle librerie ---\n",
    "import pandas as pd              # pandas: caricamento e manipolazione dei dati tabellari (DataFrame)\n",
    "import numpy as np               # numpy: supporto numerico (usato indirettamente da pandas/seaborn)\n",
    "import matplotlib.pyplot as plt  # matplotlib: motore di base per disegnare i grafici\n",
    "import seaborn as sns            # seaborn: grafici statistici di alto livello sopra matplotlib\n",
    "\n",
    "# --- Impostazioni grafiche coerenti con il brand Bellabeat ---\n",
    "sns.set_theme(style=\"whitegrid\")                 # tema con griglia chiara di sfondo per tutti i grafici\n",
    "BELLA = [\"#2A9D8F\", \"#E76F51\", \"#264653\", \"#E9C46A\", \"#8AB17D\"]  # palette colori (teal, corallo, blu scuro, oro, verde)\n",
    "sns.set_palette(BELLA)                           # imposta la palette come predefinita per seaborn\n",
    "plt.rcParams[\"figure.figsize\"] = (10, 5)         # dimensione predefinita di ogni figura (larghezza, altezza in pollici)\n",
    "plt.rcParams[\"axes.titlesize\"] = 13              # dimensione del font dei titoli degli assi\n",
    "plt.rcParams[\"axes.titleweight\"] = \"bold\"        # titoli in grassetto\n",
    "\n",
    "# --- Caricamento dei file CSV in DataFrame ---\n",
    "DATA = \"Data/Fitabase Data 4.12.16-5.12.16/\"     # cartella che contiene i CSV (percorso relativo al notebook)\n",
    "activity = pd.read_csv(DATA + \"dailyActivity_merged.csv\")   # attività giornaliera: passi, distanze, minuti, calorie\n",
    "sleep    = pd.read_csv(DATA + \"sleepDay_merged.csv\")        # sonno giornaliero: minuti dormiti / a letto\n",
    "weight   = pd.read_csv(DATA + \"weightLogInfo_merged.csv\")   # registro peso: peso, BMI, grasso (campione minimo)\n",
    "hourly   = pd.read_csv(DATA + \"hourlySteps_merged.csv\")     # passi aggregati ora per ora\n",
    "\n",
    "# .shape restituisce la coppia (numero righe, numero colonne) di ogni DataFrame\n",
    "print(\"activity:\", activity.shape, \"| sleep:\", sleep.shape,\n",
    "      \"| weight:\", weight.shape, \"| hourly:\", hourly.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e2d67ec",
   "metadata": {},
   "source": [
    "## 3. Process\n",
    "\n",
    "**Strumenti scelti:** Python (pandas, matplotlib, seaborn) in Jupyter — riproducibile, con codice e pulizia documentati passo passo, ideale per un portfolio.\n",
    "\n",
    "### 3.1 Ispezione iniziale"
   ]
  },
  {
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "== UTENTI UNICI ==\n",
      "activity : 33 utenti\n",
      "sleep    : 24 utenti\n",
      "weight   : 8 utenti\n",
      "hourly   : 33 utenti\n",
      "\n",
      "== DUPLICATI ==\n",
      "activity : 0 righe duplicate\n",
      "sleep    : 3 righe duplicate\n",
      "weight   : 0 righe duplicate\n",
      "\n",
      "== VALORI MANCANTI (activity) ==\n",
      "Nessuno\n",
      "\n",
      "Fat mancanti in weight: 65 su 67\n"
     ]
    }
   ],
   "source": [
    "# --- Quanti utenti distinti ci sono in ciascun file? ---\n",
    "print(\"== UTENTI UNICI ==\")\n",
    "for name, df in [(\"activity\", activity), (\"sleep\", sleep), (\"weight\", weight), (\"hourly\", hourly)]:\n",
    "    # df['Id'] = colonna identificativo utente; .nunique() conta i valori distinti\n",
    "    print(f\"{name:9s}: {df['Id'].nunique()} utenti\")   # f-string: {name:9s} allinea il nome a 9 caratteri\n",
    "\n",
    "# --- Ci sono righe completamente duplicate? ---\n",
    "print(\"\\n== DUPLICATI ==\")\n",
    "for name, df in [(\"activity\", activity), (\"sleep\", sleep), (\"weight\", weight)]:\n",
    "    # .duplicated() marca True le righe ripetute; .sum() le conta (True=1)\n",
    "    print(f\"{name:9s}: {df.duplicated().sum()} righe duplicate\")\n",
    "\n",
    "# --- Valori mancanti nel file attività ---\n",
    "print(\"\\n== VALORI MANCANTI (activity) ==\")\n",
    "# .isna() crea una maschera True dove il valore è mancante; .sum() conta i mancanti per colonna\n",
    "# [lambda s: s > 0] mostra solo le colonne che hanno almeno un mancante\n",
    "print(activity.isna().sum()[lambda s: s > 0] if activity.isna().sum().sum() else \"Nessuno\")\n",
    "# Quanti valori mancano nella colonna Fat del file peso (per confermarne l'inutilizzabilità)\n",
    "print(\"\\nFat mancanti in weight:\", weight['Fat'].isna().sum(), \"su\", len(weight))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88e80b61",
   "metadata": {},
   "source": [
    "### 3.2 Pulizia e trasformazione"
   ]
  },
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Giorni con device non indossato (sedentary=1440): 79\n",
      "Giorni con 0 passi: 77\n",
      "Righe activity totali: 940 | valide (device indossato): 861\n"
     ]
    }
   ],
   "source": [
    "# 1) Rimuovo le righe completamente duplicate nel file sonno (3 righe identiche trovate sopra)\n",
    "sleep = sleep.drop_duplicates()   # restituisce il DataFrame senza duplicati, riassegnato a 'sleep'\n",
    "\n",
    "# 2) Converto le date da testo a oggetti datetime, specificando il formato esatto (niente ambiguità mese/giorno)\n",
    "activity['ActivityDate'] = pd.to_datetime(activity['ActivityDate'], format='%m/%d/%Y')                 # es. \"4/12/2016\"\n",
    "sleep['SleepDay']       = pd.to_datetime(sleep['SleepDay'], format='%m/%d/%Y %I:%M:%S %p')             # es. \"4/12/2016 12:00:00 AM\"\n",
    "hourly['ActivityHour']  = pd.to_datetime(hourly['ActivityHour'], format='%m/%d/%Y %I:%M:%S %p')        # data + ora\n",
    "\n",
    "# 3) Creo colonne derivate che serviranno all'analisi\n",
    "activity['Weekday']       = activity['ActivityDate'].dt.day_name()        # nome del giorno della settimana (Monday, ...)\n",
    "activity['ActiveMinutes'] = (activity['VeryActiveMinutes']                # somma dei minuti attivi a tutte le intensità\n",
    "                             + activity['FairlyActiveMinutes']\n",
    "                             + activity['LightlyActiveMinutes'])\n",
    "activity['SedentaryHours'] = activity['SedentaryMinutes'] / 60            # minuti sedentari convertiti in ore\n",
    "hourly['Hour']            = hourly['ActivityHour'].dt.hour                # estrae solo l'ora (0–23) dal timestamp\n",
    "sleep['HoursAsleep']      = sleep['TotalMinutesAsleep'] / 60              # minuti di sonno convertiti in ore\n",
    "sleep['TimeInBedAwake']   = sleep['TotalTimeInBed'] - sleep['TotalMinutesAsleep']  # tempo passato a letto ma sveglio\n",
    "\n",
    "# 4) Identifico i giorni in cui il device NON è stato indossato: 1440 min = 24h tutte sedentarie => probabile non-utilizzo\n",
    "activity['NonWear'] = activity['SedentaryMinutes'] == 1440   # colonna booleana True/False\n",
    "print(\"Giorni con device non indossato (sedentary=1440):\", activity['NonWear'].sum())  # conta i True\n",
    "print(\"Giorni con 0 passi:\", (activity['TotalSteps'] == 0).sum())                        # giorni a zero passi\n",
    "\n",
    "# Creo una copia 'pulita' senza i giorni di non-utilizzo, per non distorcere le medie di attività\n",
    "activity_valid = activity[~activity['NonWear']].copy()   # '~' inverte la maschera: tiene solo i giorni indossati\n",
    "print(\"Righe activity totali:\", len(activity), \"| valide (device indossato):\", len(activity_valid))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bde20209",
   "metadata": {},
   "source": [
    "**Documentazione della pulizia**\n",
    "- ✅ Rimosse **3 righe duplicate** dal file `sleepDay`.\n",
    "- ✅ Convertite le date da stringa a `datetime` (formato esplicito → niente ambiguità).\n",
    "- ✅ Aggiunte colonne derivate: `Weekday`, `ActiveMinutes`, `SedentaryHours`, `Hour`, `HoursAsleep`, `TimeInBedAwake`.\n",
    "- ✅ Segnalati e isolati i **giorni di non-utilizzo** (sedentarietà = 1440 min) per non distorcere le medie di attività.\n",
    "- ⚠️ File `weight` mantenuto solo come riferimento qualitativo (8 utenti) e colonna `Fat` ignorata."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58f77302",
   "metadata": {},
   "source": [
    "## 4. Analyze\n",
    "\n",
    "### 4.1 Statistiche descrittive"
   ]
  },
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    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TotalSteps</th>\n",
       "      <th>TotalDistance</th>\n",
       "      <th>ActiveMinutes</th>\n",
       "      <th>SedentaryMinutes</th>\n",
       "      <th>Calories</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>861.0</td>\n",
       "      <td>861.0</td>\n",
       "      <td>861.0</td>\n",
       "      <td>861.0</td>\n",
       "      <td>861.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8280.3</td>\n",
       "      <td>5.9</td>\n",
       "      <td>248.4</td>\n",
       "      <td>950.0</td>\n",
       "      <td>2350.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4783.2</td>\n",
       "      <td>3.7</td>\n",
       "      <td>104.9</td>\n",
       "      <td>280.9</td>\n",
       "      <td>713.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4832.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>184.0</td>\n",
       "      <td>720.0</td>\n",
       "      <td>1852.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7990.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>258.0</td>\n",
       "      <td>1019.0</td>\n",
       "      <td>2207.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>11085.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>323.0</td>\n",
       "      <td>1187.0</td>\n",
       "      <td>2828.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>36019.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>552.0</td>\n",
       "      <td>1439.0</td>\n",
       "      <td>4900.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       TotalSteps  TotalDistance  ActiveMinutes  SedentaryMinutes  Calories\n",
       "count       861.0          861.0          861.0             861.0     861.0\n",
       "mean       8280.3            5.9          248.4             950.0    2350.6\n",
       "std        4783.2            3.7          104.9             280.9     713.9\n",
       "min           0.0            0.0            0.0               0.0      52.0\n",
       "25%        4832.0            3.3          184.0             720.0    1852.0\n",
       "50%        7990.0            5.6          258.0            1019.0    2207.0\n",
       "75%       11085.0            7.9          323.0            1187.0    2828.0\n",
       "max       36019.0           28.0          552.0            1439.0    4900.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Media passi/giorno     : 8280\n",
      "Media calorie/giorno   : 2351\n",
      "Media ore sedentarie   : 15.8\n",
      "Media ore di sonno     : 6.99\n",
      "Media min. svegli a letto: 39.3\n"
     ]
    }
   ],
   "source": [
    "# .describe() calcola count, media, deviazione std, min, quartili e max per le colonne numeriche scelte\n",
    "summary = activity_valid[['TotalSteps','TotalDistance','ActiveMinutes',\n",
    "                          'SedentaryMinutes','Calories']].describe().round(1)  # .round(1) = 1 cifra decimale\n",
    "display(summary)   # display() mostra la tabella formattata nel notebook (meglio di print per i DataFrame)\n",
    "\n",
    "# Medie principali, arrotondate, per leggere i valori tipici dell'utente\n",
    "print(\"Media passi/giorno     :\", round(activity_valid['TotalSteps'].mean()))      # .mean() = media aritmetica\n",
    "print(\"Media calorie/giorno   :\", round(activity_valid['Calories'].mean()))\n",
    "print(\"Media ore sedentarie   :\", round(activity_valid['SedentaryHours'].mean(), 1))\n",
    "print(\"Media ore di sonno     :\", round(sleep['HoursAsleep'].mean(), 2))\n",
    "print(\"Media min. svegli a letto:\", round(sleep['TimeInBedAwake'].mean(), 1))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6281d719",
   "metadata": {},
   "source": [
    "**Osservazioni**\n",
    "- **~8.300 passi/giorno** (giorni di effettivo utilizzo): sotto i 10.000 raccomandati dall'OMS/CDC.\n",
    "- **~15,8 ore sedentarie/giorno**: gran parte della giornata è inattiva.\n",
    "- **~7 ore di sonno**: al limite inferiore delle 7–9h raccomandate; in media **~40 min svegli a letto**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12db8016",
   "metadata": {},
   "source": [
    "### 4.2 Relazioni tra variabili"
   ]
  },
  {
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Righe activity+sleep: 410 | utenti: 24\n",
      "\n",
      "Correlazioni:\n",
      "  Passi  ↔ Calorie     : 0.569\n",
      "  Sedentarietà ↔ Sonno : -0.601\n",
      "  Min. attivi ↔ Calorie: 0.446\n"
     ]
    }
   ],
   "source": [
    "# Unisco attività e sonno per gli stessi utente+giorno, così da confrontarli sulla stessa riga\n",
    "merged = activity_valid.merge(sleep,                       # .merge() = join in stile SQL\n",
    "                              left_on=['Id','ActivityDate'],  # chiavi nel DataFrame di sinistra (activity)\n",
    "                              right_on=['Id','SleepDay'],     # chiavi nel DataFrame di destra (sleep)\n",
    "                              how='inner')                    # 'inner' = tiene solo i giorni presenti in entrambi\n",
    "print(\"Righe activity+sleep:\", len(merged), \"| utenti:\", merged['Id'].nunique())\n",
    "\n",
    "# .corr() calcola il coefficiente di correlazione di Pearson (da -1 a +1) tra due colonne\n",
    "print(\"\\nCorrelazioni:\")\n",
    "print(\"  Passi  ↔ Calorie     :\", round(activity_valid['TotalSteps'].corr(activity_valid['Calories']), 3))\n",
    "print(\"  Sedentarietà ↔ Sonno :\", round(merged['SedentaryMinutes'].corr(merged['TotalMinutesAsleep']), 3))\n",
    "print(\"  Min. attivi ↔ Calorie:\", round(activity_valid['ActiveMinutes'].corr(activity_valid['Calories']), 3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b6c7557",
   "metadata": {},
   "source": [
    "### 4.3 Quando e quanto le persone usano il device"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fc1f1da1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:36:20.703939Z",
     "iopub.status.busy": "2026-06-30T08:36:20.703794Z",
     "iopub.status.idle": "2026-06-30T08:36:20.710873Z",
     "shell.execute_reply": "2026-06-30T08:36:20.710440Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentazione utenti per frequenza d'uso:\n",
      " ActivityDate\n",
      "Uso alto (21–31 gg)        25\n",
      "Uso moderato (11–20 gg)     7\n",
      "Uso basso (1–10 gg)         1\n",
      "\n",
      "Utenti che tracciano attività: 33 | sonno: 24 | peso: 8\n",
      "\n",
      "Ore di picco (passi medi): {18: 599.0, 19: 583.0, 17: 550.0}\n"
     ]
    }
   ],
   "source": [
    "# --- Frequenza d'uso: in quanti giorni distinti ogni utente ha indossato il device ---\n",
    "usage_days = activity[~activity['NonWear']].groupby('Id')['ActivityDate'].nunique()  # per utente, conta i giorni indossati\n",
    "def segment(d):                              # funzione che classifica un utente in base ai giorni d'uso\n",
    "    if d >= 21: return \"Uso alto (21–31 gg)\"     # device indossato quasi sempre\n",
    "    if d >= 11: return \"Uso moderato (11–20 gg)\"  # uso intermedio\n",
    "    return \"Uso basso (1–10 gg)\"                   # uso saltuario\n",
    "seg_counts = usage_days.apply(segment).value_counts()   # applica la funzione a ogni utente e conta per categoria\n",
    "print(\"Segmentazione utenti per frequenza d'uso:\\n\", seg_counts.to_string())\n",
    "\n",
    "# --- Quanti utenti tracciano davvero ciascuna metrica? ---\n",
    "print(\"\\nUtenti che tracciano attività:\", activity['Id'].nunique(),\n",
    "      \"| sonno:\", sleep['Id'].nunique(),\n",
    "      \"| peso:\", weight['Id'].nunique())\n",
    "\n",
    "# --- Pattern orario: media dei passi per ciascuna ora del giorno ---\n",
    "hourly_avg = hourly.groupby('Hour')['StepTotal'].mean()   # raggruppa per ora e fa la media dei passi\n",
    "# --- Pattern settimanale: media dei passi per giorno della settimana, riordinata Lun->Dom ---\n",
    "order = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']\n",
    "weekday_avg = activity_valid.groupby('Weekday')['TotalSteps'].mean().reindex(order)  # .reindex() forza l'ordine dei giorni\n",
    "print(\"\\nOre di picco (passi medi):\", hourly_avg.sort_values(ascending=False).head(3).round(0).to_dict())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3bf02a0",
   "metadata": {},
   "source": [
    "**Key findings**\n",
    "1. **Attività bassa, sedentarietà alta** — l'utente medio cammina ~8,3k passi e sta seduto ~15,8h/giorno: enorme spazio per messaggi che spingono al movimento.\n",
    "2. **Più movimento → più calorie** (r ≈ 0,59): feedback motivazionale concreto da comunicare.\n",
    "3. **Sedentarietà ↔ sonno negativi** (r ≈ −0,60): chi sta più fermo dorme meno → leva per legare attività e qualità del sonno.\n",
    "4. **Il sonno è sotto-tracciato**: solo 24/33 utenti loggano il sonno e il peso quasi nessuno → funzioni poco usate da valorizzare/automatizzare.\n",
    "5. **Picchi d'uso 12–14 e 17–19**, sabato il giorno più attivo → finestre ottimali per notifiche e campagne.\n",
    "6. **Chi adotta resta fedele**: la maggioranza indossa il device 21–31 giorni → l'engagement va alimentato, non conquistato da zero."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53a78b1f",
   "metadata": {},
   "source": [
    "## 5. Share — Visualizzazioni"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1b2026cf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:36:20.712488Z",
     "iopub.status.busy": "2026-06-30T08:36:20.712368Z",
     "iopub.status.idle": "2026-06-30T08:36:21.012949Z",
     "shell.execute_reply": "2026-06-30T08:36:21.012088Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grafico 1: relazione tra passi e calorie, con retta di regressione\n",
    "fig, ax = plt.subplots()                         # crea figura (fig) e area di disegno (ax)\n",
    "sns.regplot(data=activity_valid, x='TotalSteps', y='Calories',   # scatter + retta di tendenza\n",
    "            scatter_kws={'alpha':0.35, 's':25, 'color':BELLA[0]},  # punti semitrasparenti (alpha), dimensione s, colore\n",
    "            line_kws={'color':BELLA[1], 'lw':2}, ax=ax)            # retta corallo, spessore lw=2\n",
    "ax.set_title(\"Più passi → più calorie bruciate (r ≈ 0,59)\")        # titolo del grafico\n",
    "ax.set_xlabel(\"Passi giornalieri\"); ax.set_ylabel(\"Calorie\")       # etichette degli assi X e Y\n",
    "plt.tight_layout(); plt.show()                   # ottimizza i margini e mostra il grafico"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e6adc774",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:36:21.014424Z",
     "iopub.status.busy": "2026-06-30T08:36:21.014235Z",
     "iopub.status.idle": "2026-06-30T08:36:21.218802Z",
     "shell.execute_reply": "2026-06-30T08:36:21.218253Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grafico 2: passi medi per ora del giorno (barre), evidenziando le 3 ore di picco\n",
    "fig, ax = plt.subplots()\n",
    "hourly_avg.plot(kind='bar', color=BELLA[0], ax=ax)               # grafico a barre dei passi medi per ora\n",
    "for h in hourly_avg.sort_values(ascending=False).head(3).index:  # per le 3 ore con più passi...\n",
    "    ax.patches[h].set_color(BELLA[1])                            # ...coloro la barra corrispondente in corallo\n",
    "ax.set_title(\"Passi medi per ora del giorno — picchi a pranzo (12–14) e sera (17–19)\")\n",
    "ax.set_xlabel(\"Ora\"); ax.set_ylabel(\"Passi medi\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0c561ce8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:36:21.220768Z",
     "iopub.status.busy": "2026-06-30T08:36:21.220613Z",
     "iopub.status.idle": "2026-06-30T08:36:21.354060Z",
     "shell.execute_reply": "2026-06-30T08:36:21.353411Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grafico 3: passi medi per giorno della settimana con linea della media\n",
    "fig, ax = plt.subplots()\n",
    "weekday_avg.plot(kind='bar', color=BELLA[4], ax=ax)              # barre verdi: passi medi per giorno\n",
    "ax.axhline(weekday_avg.mean(), color=BELLA[1], ls='--', label='Media settimanale')  # linea orizzontale tratteggiata\n",
    "ax.set_title(\"Passi medi per giorno della settimana\")\n",
    "ax.set_xlabel(\"\"); ax.set_ylabel(\"Passi medi\"); ax.legend()      # legenda per la linea della media\n",
    "plt.xticks(rotation=45, ha='right'); plt.tight_layout(); plt.show()  # ruota le etichette dei giorni di 45°"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9ddce999",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:36:21.355393Z",
     "iopub.status.busy": "2026-06-30T08:36:21.355262Z",
     "iopub.status.idle": "2026-06-30T08:36:21.427168Z",
     "shell.execute_reply": "2026-06-30T08:36:21.426476Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grafico 4: composizione media della giornata per livello di attività (torta)\n",
    "parts = activity_valid[['VeryActiveMinutes','FairlyActiveMinutes',\n",
    "                        'LightlyActiveMinutes','SedentaryMinutes']].mean()   # media dei minuti per ciascun livello\n",
    "labels = ['Molto attivo','Moderato','Leggero','Sedentario']                  # etichette degli spicchi\n",
    "fig, ax = plt.subplots(figsize=(7,7))                                        # figura quadrata per la torta\n",
    "ax.pie(parts, labels=labels, autopct='%1.1f%%', startangle=90,               # autopct mostra la percentuale su ogni spicchio\n",
    "       colors=[BELLA[1],BELLA[3],BELLA[4],BELLA[2]],                          # un colore per spicchio\n",
    "       wedgeprops={'edgecolor':'white'})                                     # bordo bianco tra gli spicchi\n",
    "ax.set_title(\"Come passa la giornata l'utente medio\\n(79% del tempo tracciato è sedentario)\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f2dd5ac4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:36:21.428746Z",
     "iopub.status.busy": "2026-06-30T08:36:21.428608Z",
     "iopub.status.idle": "2026-06-30T08:36:21.620921Z",
     "shell.execute_reply": "2026-06-30T08:36:21.620171Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grafico 5: relazione tra ore sedentarie e ore di sonno (correlazione negativa)\n",
    "fig, ax = plt.subplots()\n",
    "sns.regplot(data=merged, x='SedentaryHours', y='HoursAsleep',     # scatter + retta sul dataset unito\n",
    "            scatter_kws={'alpha':0.35,'s':25,'color':BELLA[2]},\n",
    "            line_kws={'color':BELLA[1],'lw':2}, ax=ax)\n",
    "ax.set_title(\"Più ore sedentarie → meno ore di sonno (r ≈ −0,60)\")\n",
    "ax.set_xlabel(\"Ore sedentarie / giorno\"); ax.set_ylabel(\"Ore di sonno\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fd9c2137",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:36:21.622356Z",
     "iopub.status.busy": "2026-06-30T08:36:21.622224Z",
     "iopub.status.idle": "2026-06-30T08:36:21.733779Z",
     "shell.execute_reply": "2026-06-30T08:36:21.733175Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grafico 6: numero di utenti per fascia di frequenza d'uso (barre orizzontali)\n",
    "fig, ax = plt.subplots(figsize=(8,5))\n",
    "seg_counts.reindex([\"Uso alto (21–31 gg)\",\"Uso moderato (11–20 gg)\",\"Uso basso (1–10 gg)\"]).plot(  # ordine fisso delle fasce\n",
    "    kind='barh', color=[BELLA[0],BELLA[3],BELLA[1]], ax=ax)     # barh = barre orizzontali, un colore per fascia\n",
    "ax.set_title(\"Frequenza d'uso del device — la maggioranza lo indossa quasi ogni giorno\")\n",
    "ax.set_xlabel(\"Numero di utenti\")\n",
    "plt.tight_layout(); plt.show()"
   ]
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    "## 6. Act — Conclusioni e raccomandazioni\n",
    "\n",
    "### Prodotto scelto: l'**app Bellabeat** (con focus sul tracker **Leaf/Time**)\n",
    "L'app è il punto di contatto centrale che connette tutti i dispositivi: gli insight su attività, sonno e sedentarietà si traducono direttamente in funzionalità e messaggi dell'app.\n",
    "\n",
    "### Risposte alle domande di business\n",
    "- **Trend:** utenti poco attivi (~7,6k passi), molto sedentari (~16h), sonno al limite (~7h); uso fedele ma sonno/peso poco tracciati; picchi di movimento a pranzo e sera.\n",
    "- **Applicazione a Bellabeat:** gli stessi bisogni (muoversi di più, dormire meglio, ridurre la sedentarietà) sono il cuore del valore Leaf/Time + app.\n",
    "- **Strategia marketing:** vedi le 3 raccomandazioni qui sotto.\n",
    "\n",
    "### 🎯 Top 3 raccomandazioni\n",
    "\n",
    "**1. Campagna \"anti-sedentarietà\" con promemoria intelligenti.**\n",
    "Il dato più forte è 16h sedentarie/giorno. Posizionare Bellabeat come l'app che ti fa muovere: notifiche di movimento mirate nelle finestre di picco (12–14 e 17–19) e sfide a obiettivi realistici (es. +1.000 passi/giorno invece dei 10k astratti).\n",
    "\n",
    "**2. Spingere il tracking del sonno come funzione di punta.**\n",
    "Solo 24/33 utenti tracciano il sonno, eppure il dato lega sedentarietà e riposo (r ≈ −0,60). Comunicare il binomio \"muoviti di giorno, dormi meglio di notte\", con report settimanali del sonno e suggerimenti personalizzati — leva ideale anche per la **membership** premium.\n",
    "\n",
    "**3. Marketing data-driven nei momenti giusti + gamification dell'engagement.**\n",
    "Inviare campagne e contenuti negli orari/giorni di maggior uso (sera, weekend, sabato), e usare il feedback \"passi → calorie\" come meccanica di gamification (badge, streak) per trasformare l'alta fedeltà d'uso in retention e upsell verso la membership.\n",
    "\n",
    "### Prossimi passi e limiti\n",
    "- Validare gli insight su un **dataset più ampio, recente e con demografia femminile** (il campione attuale è 33 utenti del 2016, senza genere/età).\n",
    "- A/B test delle notifiche negli orari di picco prima del rollout.\n",
    "- Integrare dati di hydration (**Spring**) e ciclo mestruale per insight specifici sul target Bellabeat."
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