{
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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",
    "**Author:** Luca Mulazzi · **Date:** June 2026\n",
    "\n",
    "This case study follows the 6-step data analysis process — **Ask · Prepare · Process · Analyze · Share · Act** — to analyze fitness smart device usage and translate it into marketing recommendations for **Bellabeat**, a tech company making wellness products for women."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c58b1760",
   "metadata": {},
   "source": [
    "## 1. Ask\n",
    "\n",
    "### Business context\n",
    "Urška Sršen (Bellabeat cofounder and CCO) believes analyzing fitness tracker data can unlock growth opportunities. The task is to analyze how consumers use **non-Bellabeat** smart devices and apply the insights to a Bellabeat product.\n",
    "\n",
    "### Business task\n",
    "> **Identify usage trends in fitness smart devices and translate them into concrete recommendations for the marketing strategy of a Bellabeat product.**\n",
    "\n",
    "### Guiding questions\n",
    "1. What are the trends in smart device usage?\n",
    "2. How do these trends apply to Bellabeat customers?\n",
    "3. How could they influence Bellabeat's marketing strategy?\n",
    "\n",
    "### Stakeholders\n",
    "- **Urška Sršen** — cofounder & Chief Creative Officer (decision maker)\n",
    "- **Sando Mur** — cofounder, executive team\n",
    "- **Marketing Analytics team** — operational audience for the analysis\n",
    "\n",
    "### Deliverables\n",
    "Business task summary · data source description · cleaning documentation · analysis · visualizations · **top 3 recommendations**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d04b7514",
   "metadata": {},
   "source": [
    "## 2. Prepare\n",
    "\n",
    "### Data source\n",
    "**FitBit Fitness Tracker Data** (Kaggle, CC0 Public Domain, via Mobius). 30+ FitBit users who consented to share minute-level data on activity, heart rate and sleep, from **April 12 to May 12, 2016** (~31 days). The data is organized in 18 CSV files in *long* and *wide* format.\n",
    "\n",
    "### Credibility assessment — ROCCC\n",
    "| Criterion | Rating | Notes |\n",
    "|---|---|---|\n",
    "| **R**eliable | ⚠️ Low | Only ~30 users, small non-random sample |\n",
    "| **O**riginal | ⚠️ Medium | Third-party data collected via Amazon Mechanical Turk |\n",
    "| **C**omprehensive | ⚠️ Medium | Missing **demographics** (sex, age): critical for a women's brand |\n",
    "| **C**urrent | ❌ Low | Data from **2016**, over 8 years old |\n",
    "| **C**ited | ✅ | Documented source (Kaggle/Mobius) |\n",
    "\n",
    "### Main limitations (to keep in mind for the recommendations)\n",
    "- **Small sample**: 33 users for activity, **24** for sleep, only **8** for weight.\n",
    "- **No demographic data** → we cannot verify the sample represents women (Bellabeat's target).\n",
    "- **One-month window** and dated data (2016).\n",
    "- The weight file has the *Fat* column almost always empty (65/67) → unusable.\n",
    "\n",
    "➡️ For a real analysis, a more recent dataset with demographics and a larger sample should be added."
   ]
  },
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   "id": "aa3fd583",
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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 libraries ---\n",
    "import pandas as pd              # pandas: load and manipulate tabular data (DataFrames)\n",
    "import numpy as np               # numpy: numeric support (used indirectly by pandas/seaborn)\n",
    "import matplotlib.pyplot as plt  # matplotlib: base engine for drawing charts\n",
    "import seaborn as sns            # seaborn: high-level statistical charts on top of matplotlib\n",
    "\n",
    "# --- Chart settings consistent with the Bellabeat brand ---\n",
    "sns.set_theme(style=\"whitegrid\")                 # light background grid theme for all charts\n",
    "BELLA = [\"#2A9D8F\", \"#E76F51\", \"#264653\", \"#E9C46A\", \"#8AB17D\"]  # color palette (teal, coral, dark blue, gold, green)\n",
    "sns.set_palette(BELLA)                           # set the palette as seaborn default\n",
    "plt.rcParams[\"figure.figsize\"] = (10, 5)         # default size of each figure (width, height in inches)\n",
    "plt.rcParams[\"axes.titlesize\"] = 13              # font size of axis titles\n",
    "plt.rcParams[\"axes.titleweight\"] = \"bold\"        # bold titles\n",
    "\n",
    "# --- Load the CSV files into DataFrames ---\n",
    "DATA = \"Data/Fitabase Data 4.12.16-5.12.16/\"     # folder containing the CSVs (path relative to the notebook)\n",
    "activity = pd.read_csv(DATA + \"dailyActivity_merged.csv\")   # daily activity: steps, distances, minutes, calories\n",
    "sleep    = pd.read_csv(DATA + \"sleepDay_merged.csv\")        # daily sleep: minutes asleep / in bed\n",
    "weight   = pd.read_csv(DATA + \"weightLogInfo_merged.csv\")   # weight log: weight, BMI, fat (tiny sample)\n",
    "hourly   = pd.read_csv(DATA + \"hourlySteps_merged.csv\")     # steps aggregated hour by hour\n",
    "\n",
    "# .shape returns the (number of rows, number of columns) pair of each DataFrame\n",
    "print(\"activity:\", activity.shape, \"| sleep:\", sleep.shape,\n",
    "      \"| weight:\", weight.shape, \"| hourly:\", hourly.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "394db5fb",
   "metadata": {},
   "source": [
    "## 3. Process\n",
    "\n",
    "**Tools chosen:** Python (pandas, matplotlib, seaborn) in Jupyter — reproducible, with code and cleaning documented step by step, ideal for a portfolio.\n",
    "\n",
    "### 3.1 Initial inspection"
   ]
  },
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "== UNIQUE USERS ==\n",
      "activity : 33 users\n",
      "sleep    : 24 users\n",
      "weight   : 8 users\n",
      "hourly   : 33 users\n",
      "\n",
      "== DUPLICATES ==\n",
      "activity : 0 duplicate rows\n",
      "sleep    : 3 duplicate rows\n",
      "weight   : 0 duplicate rows\n",
      "\n",
      "== MISSING VALUES (activity) ==\n",
      "None\n",
      "\n",
      "Fat missing in weight: 65 out of 67\n"
     ]
    }
   ],
   "source": [
    "# --- How many distinct users are in each file? ---\n",
    "print(\"== UNIQUE USERS ==\")\n",
    "for name, df in [(\"activity\", activity), (\"sleep\", sleep), (\"weight\", weight), (\"hourly\", hourly)]:\n",
    "    # df['Id'] = user identifier column; .nunique() counts distinct values\n",
    "    print(f\"{name:9s}: {df['Id'].nunique()} users\")   # f-string: {name:9s} pads the name to 9 chars\n",
    "\n",
    "# --- Are there fully duplicated rows? ---\n",
    "print(\"\\n== DUPLICATES ==\")\n",
    "for name, df in [(\"activity\", activity), (\"sleep\", sleep), (\"weight\", weight)]:\n",
    "    # .duplicated() marks repeated rows as True; .sum() counts them (True=1)\n",
    "    print(f\"{name:9s}: {df.duplicated().sum()} duplicate rows\")\n",
    "\n",
    "# --- Missing values in the activity file ---\n",
    "print(\"\\n== MISSING VALUES (activity) ==\")\n",
    "# .isna() builds a True mask where the value is missing; .sum() counts the missing per column\n",
    "# [lambda s: s > 0] shows only columns that have at least one missing value\n",
    "print(activity.isna().sum()[lambda s: s > 0] if activity.isna().sum().sum() else \"None\")\n",
    "# How many values are missing in the weight file's Fat column (to confirm it is unusable)\n",
    "print(\"\\nFat missing in weight:\", weight['Fat'].isna().sum(), \"out of\", len(weight))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fbd4d7a8",
   "metadata": {},
   "source": [
    "### 3.2 Cleaning and transformation"
   ]
  },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Days with device not worn (sedentary=1440): 79\n",
      "Days with 0 steps: 77\n",
      "Total activity rows: 940 | valid (device worn): 861\n"
     ]
    }
   ],
   "source": [
    "# 1) Remove the fully duplicated rows in the sleep file (3 identical rows found above)\n",
    "sleep = sleep.drop_duplicates()   # returns the DataFrame without duplicates, reassigned to 'sleep'\n",
    "\n",
    "# 2) Convert dates from text to datetime objects, specifying the exact format (no month/day ambiguity)\n",
    "activity['ActivityDate'] = pd.to_datetime(activity['ActivityDate'], format='%m/%d/%Y')                 # e.g. \"4/12/2016\"\n",
    "sleep['SleepDay']       = pd.to_datetime(sleep['SleepDay'], format='%m/%d/%Y %I:%M:%S %p')             # e.g. \"4/12/2016 12:00:00 AM\"\n",
    "hourly['ActivityHour']  = pd.to_datetime(hourly['ActivityHour'], format='%m/%d/%Y %I:%M:%S %p')        # date + time\n",
    "\n",
    "# 3) Create derived columns that the analysis will use\n",
    "activity['Weekday']       = activity['ActivityDate'].dt.day_name()        # weekday name (Monday, ...)\n",
    "activity['ActiveMinutes'] = (activity['VeryActiveMinutes']                # sum of active minutes across all intensities\n",
    "                             + activity['FairlyActiveMinutes']\n",
    "                             + activity['LightlyActiveMinutes'])\n",
    "activity['SedentaryHours'] = activity['SedentaryMinutes'] / 60            # sedentary minutes converted to hours\n",
    "hourly['Hour']            = hourly['ActivityHour'].dt.hour                # extract only the hour (0–23) from the timestamp\n",
    "sleep['HoursAsleep']      = sleep['TotalMinutesAsleep'] / 60              # sleep minutes converted to hours\n",
    "sleep['TimeInBedAwake']   = sleep['TotalTimeInBed'] - sleep['TotalMinutesAsleep']  # time spent in bed but awake\n",
    "\n",
    "# 4) Identify days when the device was NOT worn: 1440 min = 24h all sedentary => likely non-wear\n",
    "activity['NonWear'] = activity['SedentaryMinutes'] == 1440   # boolean True/False column\n",
    "print(\"Days with device not worn (sedentary=1440):\", activity['NonWear'].sum())  # count the True values\n",
    "print(\"Days with 0 steps:\", (activity['TotalSteps'] == 0).sum())                  # days with zero steps\n",
    "\n",
    "# Create a 'clean' copy without non-wear days, so activity averages are not skewed\n",
    "activity_valid = activity[~activity['NonWear']].copy()   # '~' inverts the mask: keeps only worn days\n",
    "print(\"Total activity rows:\", len(activity), \"| valid (device worn):\", len(activity_valid))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57866222",
   "metadata": {},
   "source": [
    "**Cleaning documentation**\n",
    "- ✅ Removed **3 duplicate rows** from the `sleepDay` file.\n",
    "- ✅ Converted dates from string to `datetime` (explicit format → no ambiguity).\n",
    "- ✅ Added derived columns: `Weekday`, `ActiveMinutes`, `SedentaryHours`, `Hour`, `HoursAsleep`, `TimeInBedAwake`.\n",
    "- ✅ Flagged and isolated the **non-wear days** (sedentary = 1440 min) so they don't skew activity averages.\n",
    "- ⚠️ The `weight` file kept only as a qualitative reference (8 users) and the `Fat` column ignored."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a423859f",
   "metadata": {},
   "source": [
    "## 4. Analyze\n",
    "\n",
    "### 4.1 Descriptive statistics"
   ]
  },
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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": [
      "Avg steps/day        : 8280\n",
      "Avg calories/day     : 2351\n",
      "Avg sedentary hours  : 15.8\n",
      "Avg hours of sleep   : 6.99\n",
      "Avg min awake in bed : 39.3\n"
     ]
    }
   ],
   "source": [
    "# .describe() computes count, mean, std deviation, min, quartiles and max for the chosen numeric columns\n",
    "summary = activity_valid[['TotalSteps','TotalDistance','ActiveMinutes',\n",
    "                          'SedentaryMinutes','Calories']].describe().round(1)  # .round(1) = 1 decimal place\n",
    "display(summary)   # display() shows the formatted table in the notebook (better than print for DataFrames)\n",
    "\n",
    "# Main averages, rounded, to read the typical user's values\n",
    "print(\"Avg steps/day        :\", round(activity_valid['TotalSteps'].mean()))      # .mean() = arithmetic mean\n",
    "print(\"Avg calories/day     :\", round(activity_valid['Calories'].mean()))\n",
    "print(\"Avg sedentary hours  :\", round(activity_valid['SedentaryHours'].mean(), 1))\n",
    "print(\"Avg hours of sleep   :\", round(sleep['HoursAsleep'].mean(), 2))\n",
    "print(\"Avg min awake in bed :\", round(sleep['TimeInBedAwake'].mean(), 1))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9e8d1cf",
   "metadata": {},
   "source": [
    "**Observations**\n",
    "- **~8,300 steps/day** (on days actually worn): below the 10,000 recommended by WHO/CDC.\n",
    "- **~15.8 sedentary hours/day**: most of the day is inactive.\n",
    "- **~7 hours of sleep**: at the lower bound of the recommended 7–9h; on average **~40 min awake in bed**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d462ae26",
   "metadata": {},
   "source": [
    "### 4.2 Relationships between variables"
   ]
  },
  {
   "cell_type": "code",
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    "execution": {
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "activity+sleep rows: 410 | users: 24\n",
      "\n",
      "Correlations:\n",
      "  Steps     ↔ Calories : 0.569\n",
      "  Sedentary ↔ Sleep    : -0.601\n",
      "  Active min↔ Calories : 0.446\n"
     ]
    }
   ],
   "source": [
    "# Merge activity and sleep on the same user+day, so they can be compared on the same row\n",
    "merged = activity_valid.merge(sleep,                       # .merge() = SQL-style join\n",
    "                              left_on=['Id','ActivityDate'],  # keys in the left DataFrame (activity)\n",
    "                              right_on=['Id','SleepDay'],     # keys in the right DataFrame (sleep)\n",
    "                              how='inner')                    # 'inner' = keep only days present in both\n",
    "print(\"activity+sleep rows:\", len(merged), \"| users:\", merged['Id'].nunique())\n",
    "\n",
    "# .corr() computes the Pearson correlation coefficient (-1 to +1) between two columns\n",
    "print(\"\\nCorrelations:\")\n",
    "print(\"  Steps     ↔ Calories :\", round(activity_valid['TotalSteps'].corr(activity_valid['Calories']), 3))\n",
    "print(\"  Sedentary ↔ Sleep    :\", round(merged['SedentaryMinutes'].corr(merged['TotalMinutesAsleep']), 3))\n",
    "print(\"  Active min↔ Calories :\", round(activity_valid['ActiveMinutes'].corr(activity_valid['Calories']), 3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1226f6c0",
   "metadata": {},
   "source": [
    "### 4.3 When and how much people use the device"
   ]
  },
  {
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   "id": "43a5ed0d",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "User segmentation by usage frequency:\n",
      " ActivityDate\n",
      "High use (21–31 d)        25\n",
      "Moderate use (11–20 d)     7\n",
      "Low use (1–10 d)           1\n",
      "\n",
      "Users tracking activity: 33 | sleep: 24 | weight: 8\n",
      "\n",
      "Peak hours (avg steps): {18: 599.0, 19: 583.0, 17: 550.0}\n"
     ]
    }
   ],
   "source": [
    "# --- Usage frequency: how many distinct days each user wore the device ---\n",
    "usage_days = activity[~activity['NonWear']].groupby('Id')['ActivityDate'].nunique()  # per user, count worn days\n",
    "def segment(d):                              # function that classifies a user by days of use\n",
    "    if d >= 21: return \"High use (21–31 d)\"     # device worn almost always\n",
    "    if d >= 11: return \"Moderate use (11–20 d)\"  # intermediate use\n",
    "    return \"Low use (1–10 d)\"                     # occasional use\n",
    "seg_counts = usage_days.apply(segment).value_counts()   # apply the function to each user and count per category\n",
    "print(\"User segmentation by usage frequency:\\n\", seg_counts.to_string())\n",
    "\n",
    "# --- How many users actually track each metric? ---\n",
    "print(\"\\nUsers tracking activity:\", activity['Id'].nunique(),\n",
    "      \"| sleep:\", sleep['Id'].nunique(),\n",
    "      \"| weight:\", weight['Id'].nunique())\n",
    "\n",
    "# --- Hourly pattern: average steps for each hour of the day ---\n",
    "hourly_avg = hourly.groupby('Hour')['StepTotal'].mean()   # group by hour and average the steps\n",
    "# --- Weekly pattern: average steps per weekday, reordered Mon->Sun ---\n",
    "order = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']\n",
    "weekday_avg = activity_valid.groupby('Weekday')['TotalSteps'].mean().reindex(order)  # .reindex() forces the weekday order\n",
    "print(\"\\nPeak hours (avg steps):\", hourly_avg.sort_values(ascending=False).head(3).round(0).to_dict())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6927a44b",
   "metadata": {},
   "source": [
    "**Key findings**\n",
    "1. **Low activity, high sedentary time** — the average user walks ~8.3k steps and sits ~15.8h/day: large room for messaging that encourages movement.\n",
    "2. **More movement → more calories** (r ≈ 0.59): a concrete motivational feedback to communicate.\n",
    "3. **Sedentary ↔ sleep negative** (r ≈ −0.60): those who sit more sleep less → a lever to connect activity and sleep quality.\n",
    "4. **Sleep is under-tracked**: only 24/33 users log sleep and almost none log weight → underused features to promote/automate.\n",
    "5. **Usage peaks 12-2pm and 5-7pm**, Saturday the most active day → optimal windows for notifications and campaigns.\n",
    "6. **Adopters stay loyal**: most wear the device 21–31 days → engagement should be nurtured, not won from scratch."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75a8f3b5",
   "metadata": {},
   "source": [
    "## 5. Share — Visualizations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c6b38611",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:51:53.250557Z",
     "iopub.status.busy": "2026-06-30T08:51:53.250432Z",
     "iopub.status.idle": "2026-06-30T08:51:53.556731Z",
     "shell.execute_reply": "2026-06-30T08:51:53.556106Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Chart 1: relationship between steps and calories, with regression line\n",
    "fig, ax = plt.subplots()                         # create figure (fig) and drawing area (ax)\n",
    "sns.regplot(data=activity_valid, x='TotalSteps', y='Calories',   # scatter + trend line\n",
    "            scatter_kws={'alpha':0.35, 's':25, 'color':BELLA[0]},  # semi-transparent points (alpha), size s, color\n",
    "            line_kws={'color':BELLA[1], 'lw':2}, ax=ax)            # coral line, width lw=2\n",
    "ax.set_title(\"More steps → more calories burned (r ≈ 0.59)\")        # chart title\n",
    "ax.set_xlabel(\"Daily steps\"); ax.set_ylabel(\"Calories\")            # X and Y axis labels\n",
    "plt.tight_layout(); plt.show()                   # optimize margins and show the chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "90a443db",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:51:53.558084Z",
     "iopub.status.busy": "2026-06-30T08:51:53.557951Z",
     "iopub.status.idle": "2026-06-30T08:51:53.757973Z",
     "shell.execute_reply": "2026-06-30T08:51:53.757322Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Chart 2: average steps by hour of day (bars), highlighting the 3 peak hours\n",
    "fig, ax = plt.subplots()\n",
    "hourly_avg.plot(kind='bar', color=BELLA[0], ax=ax)               # bar chart of average steps per hour\n",
    "for h in hourly_avg.sort_values(ascending=False).head(3).index:  # for the 3 hours with most steps...\n",
    "    ax.patches[h].set_color(BELLA[1])                            # ...color the matching bar coral\n",
    "ax.set_title(\"Average steps by hour of day — peaks at lunch (12-2pm) and evening (5-7pm)\")\n",
    "ax.set_xlabel(\"Hour\"); ax.set_ylabel(\"Avg steps\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "06c827c5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:51:53.759306Z",
     "iopub.status.busy": "2026-06-30T08:51:53.759176Z",
     "iopub.status.idle": "2026-06-30T08:51:53.894402Z",
     "shell.execute_reply": "2026-06-30T08:51:53.893816Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Chart 3: average steps by weekday with the mean line\n",
    "fig, ax = plt.subplots()\n",
    "weekday_avg.plot(kind='bar', color=BELLA[4], ax=ax)              # green bars: average steps per day\n",
    "ax.axhline(weekday_avg.mean(), color=BELLA[1], ls='--', label='Weekly average')  # dashed horizontal line\n",
    "ax.set_title(\"Average steps by day of week\")\n",
    "ax.set_xlabel(\"\"); ax.set_ylabel(\"Avg steps\"); ax.legend()      # legend for the mean line\n",
    "plt.xticks(rotation=45, ha='right'); plt.tight_layout(); plt.show()  # rotate weekday labels by 45°"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fb890376",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:51:53.895756Z",
     "iopub.status.busy": "2026-06-30T08:51:53.895626Z",
     "iopub.status.idle": "2026-06-30T08:51:53.967372Z",
     "shell.execute_reply": "2026-06-30T08:51:53.966730Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Chart 4: average composition of the day by activity level (pie)\n",
    "parts = activity_valid[['VeryActiveMinutes','FairlyActiveMinutes',\n",
    "                        'LightlyActiveMinutes','SedentaryMinutes']].mean()   # average minutes per level\n",
    "labels = ['Very active','Fairly active','Lightly active','Sedentary']        # slice labels\n",
    "fig, ax = plt.subplots(figsize=(7,7))                                        # square figure for the pie\n",
    "ax.pie(parts, labels=labels, autopct='%1.1f%%', startangle=90,               # autopct shows the percentage on each slice\n",
    "       colors=[BELLA[1],BELLA[3],BELLA[4],BELLA[2]],                          # one color per slice\n",
    "       wedgeprops={'edgecolor':'white'})                                     # white border between slices\n",
    "ax.set_title(\"How the average user spends the day\\n(79% of tracked time is sedentary)\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6e78ca6e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:51:53.968833Z",
     "iopub.status.busy": "2026-06-30T08:51:53.968704Z",
     "iopub.status.idle": "2026-06-30T08:51:54.157832Z",
     "shell.execute_reply": "2026-06-30T08:51:54.157365Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Chart 5: relationship between sedentary hours and hours of sleep (negative correlation)\n",
    "fig, ax = plt.subplots()\n",
    "sns.regplot(data=merged, x='SedentaryHours', y='HoursAsleep',     # scatter + line on the merged dataset\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(\"More sedentary hours → less sleep (r ≈ −0.60)\")\n",
    "ax.set_xlabel(\"Sedentary hours / day\"); ax.set_ylabel(\"Hours asleep\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6e2dd9d3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-30T08:51:54.159259Z",
     "iopub.status.busy": "2026-06-30T08:51:54.159130Z",
     "iopub.status.idle": "2026-06-30T08:51:54.263219Z",
     "shell.execute_reply": "2026-06-30T08:51:54.262716Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Chart 6: number of users per usage-frequency band (horizontal bars)\n",
    "fig, ax = plt.subplots(figsize=(8,5))\n",
    "seg_counts.reindex([\"High use (21–31 d)\",\"Moderate use (11–20 d)\",\"Low use (1–10 d)\"]).plot(  # fixed band order\n",
    "    kind='barh', color=[BELLA[0],BELLA[3],BELLA[1]], ax=ax)     # barh = horizontal bars, one color per band\n",
    "ax.set_title(\"Device usage frequency — most users wear it almost every day\")\n",
    "ax.set_xlabel(\"Number of users\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ecc265fe",
   "metadata": {},
   "source": [
    "## 6. Act — Conclusions and recommendations\n",
    "\n",
    "### Chosen product: the **Bellabeat app** (with a focus on the **Leaf/Time** tracker)\n",
    "The app is the central touchpoint connecting all devices: insights on activity, sleep and sedentary time translate directly into app features and messaging.\n",
    "\n",
    "### Answers to the business questions\n",
    "- **Trends:** users are not very active (~8.3k steps), highly sedentary (~16h), sleep at the limit (~7h); loyal usage but sleep/weight under-tracked; movement peaks at lunch and evening.\n",
    "- **Application to Bellabeat:** the same needs (move more, sleep better, reduce sedentary time) are at the heart of the Leaf/Time + app value.\n",
    "- **Marketing strategy:** see the 3 recommendations below.\n",
    "\n",
    "### 🎯 Top 3 recommendations\n",
    "\n",
    "**1. \"Anti-sedentary\" campaign with smart reminders.**\n",
    "The strongest data point is 16h sedentary/day. Position Bellabeat as the app that gets you moving: targeted movement notifications in the peak windows (12-2pm and 5-7pm) and challenges with realistic goals (e.g. +1,000 steps/day instead of the abstract 10k).\n",
    "\n",
    "**2. Promote sleep tracking as a flagship feature.**\n",
    "Only 24/33 users track sleep, yet the data links sedentary time and rest (r ≈ −0.60). Communicate the \"move by day, sleep better at night\" pairing, with weekly sleep reports and personalized tips — an ideal lever for the premium **membership** too.\n",
    "\n",
    "**3. Data-driven marketing at the right moments + engagement gamification.**\n",
    "Send campaigns and content at the times/days of highest usage (evening, weekend, Saturday), and use the \"steps → calories\" feedback as a gamification mechanic (badges, streaks) to turn high usage loyalty into retention and upsell toward the membership.\n",
    "\n",
    "### Next steps and limitations\n",
    "- Validate the insights on a **larger, more recent dataset with female demographics** (the current sample is 33 users from 2016, without sex/age).\n",
    "- A/B test the notifications at peak times before rollout.\n",
    "- Integrate hydration (**Spring**) and menstrual cycle data for insights specific to the Bellabeat target."
   ]
  }
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