{
"cells": [
{
"cell_type": "markdown",
"id": "329d05ab",
"metadata": {},
"source": [
"# Lesson 15: Data wrangling demonstration\n",
"\n",
"This notebook demonstrates key data wrangling techniques for handling missing data and outliers.\n",
"\n",
"**1. Aggregating and reshaping data**\n",
"\n",
"- **groupby / agg**: Summarize data by category\n",
"- **pivot_table**: Cross-tabulate two categorical dimensions\n",
"- **melt**: Reshape wide format to long format\n",
"- **pivot**: Reshape long format to wide format\n",
"\n",
"**2. Combining data**\n",
"\n",
"- **concat**: Stack DataFrames vertically (more rows) or horizontally (more columns)\n",
"- **merge**: SQL-style joins on a shared key column (inner, left, right, outer)\n",
"- **join**: Join on the DataFrame index\n",
"\n",
"**3. Handling missing data**\n",
"\n",
"- **Mean imputation**: Replace missing values with the column mean\n",
"- **Median imputation**: Replace missing values with the column median\n",
"- **KNN imputation**: Use K-Nearest Neighbors to estimate missing values\n",
"- **Iterative imputation**: Model each feature as a function of others (MICE algorithm)\n",
"\n",
"**4. Outlier detection methods**\n",
"\n",
"- **IQR method**: Use interquartile range (Q3 - Q1) to identify outliers\n",
"- **Z-score method**: Identify values more than 3 standard deviations from the mean\n",
"- **Isolation Forest**: Machine learning algorithm that isolates anomalies\n",
"- **Local Outlier Factor (LOF)**: Density-based method comparing local density to neighbors\n",
"\n",
"**5. Handling outliers**\n",
"\n",
"- **Removal**: Remove outlier observations from the dataset\n",
"- **Capping (Winsorization)**: Replace outliers with boundary values (5th and 95th percentiles)\n",
"- **Binning (Discretization)**: Convert continuous values into discrete bins\n",
"- **Log transformation**: Apply logarithmic transformation to compress value range\n"
]
},
{
"cell_type": "markdown",
"id": "d0dd917a",
"metadata": {},
"source": [
"## Setup\n",
"\n",
"### Imports"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "e85ff7ed",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"from matplotlib.gridspec import GridSpec\n",
"from scipy import stats\n",
"from sklearn.ensemble import IsolationForest\n",
"from sklearn.experimental import enable_iterative_imputer\n",
"from sklearn.impute import KNNImputer, IterativeImputer\n",
"from sklearn.neighbors import LocalOutlierFactor\n",
"from sklearn.preprocessing import KBinsDiscretizer"
]
},
{
"cell_type": "markdown",
"id": "50d8e32f",
"metadata": {},
"source": [
"### Load datasets"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "f4509aa8",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" MedInc | \n",
" HouseAge | \n",
" AveRooms | \n",
" AveBedrms | \n",
" Population | \n",
" AveOccup | \n",
" Latitude | \n",
" Longitude | \n",
" MedHouseVal | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" 8.3252 | \n",
" 41.0 | \n",
" 6.984127 | \n",
" 1.023810 | \n",
" 322.0 | \n",
" 2.555556 | \n",
" 37.88 | \n",
" -122.23 | \n",
" 4.526 | \n",
"
\n",
" \n",
" | 1 | \n",
" 8.3014 | \n",
" 21.0 | \n",
" 6.238137 | \n",
" 0.971880 | \n",
" 2401.0 | \n",
" 2.109842 | \n",
" 37.86 | \n",
" -122.22 | \n",
" 3.585 | \n",
"
\n",
" \n",
" | 2 | \n",
" 7.2574 | \n",
" 52.0 | \n",
" 8.288136 | \n",
" 1.073446 | \n",
" 496.0 | \n",
" 2.802260 | \n",
" 37.85 | \n",
" NaN | \n",
" 3.521 | \n",
"
\n",
" \n",
" | 3 | \n",
" 5.6431 | \n",
" 52.0 | \n",
" 5.817352 | \n",
" 1.073059 | \n",
" 558.0 | \n",
" 2.547945 | \n",
" 37.85 | \n",
" -122.25 | \n",
" 3.413 | \n",
"
\n",
" \n",
" | 4 | \n",
" 3.8462 | \n",
" 52.0 | \n",
" 6.281853 | \n",
" NaN | \n",
" 565.0 | \n",
" 2.181467 | \n",
" 37.85 | \n",
" NaN | \n",
" 3.422 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" MedInc HouseAge AveRooms AveBedrms Population AveOccup Latitude \\\n",
"0 8.3252 41.0 6.984127 1.023810 322.0 2.555556 37.88 \n",
"1 8.3014 21.0 6.238137 0.971880 2401.0 2.109842 37.86 \n",
"2 7.2574 52.0 8.288136 1.073446 496.0 2.802260 37.85 \n",
"3 5.6431 52.0 5.817352 1.073059 558.0 2.547945 37.85 \n",
"4 3.8462 52.0 6.281853 NaN 565.0 2.181467 37.85 \n",
"\n",
" Longitude MedHouseVal \n",
"0 -122.23 4.526 \n",
"1 -122.22 3.585 \n",
"2 NaN 3.521 \n",
"3 -122.25 3.413 \n",
"4 NaN 3.422 "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_original = pd.read_csv('https://gperdrizet.github.io/FSA_devops/assets/data/unit2/california_housing.csv')\n",
"df = pd.read_csv('https://gperdrizet.github.io/FSA_devops/assets/data/unit2/salted_housing_data.csv')\n",
"df.head()"
]
},
{
"cell_type": "markdown",
"id": "06ebc4e1",
"metadata": {},
"source": [
"### Define features"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "1b80df69",
"metadata": {},
"outputs": [],
"source": [
"missing_feature = 'MedInc'\n",
"outlier_feature = 'MedHouseVal'"
]
},
{
"cell_type": "markdown",
"id": "30fa5e3e",
"metadata": {},
"source": [
"## 1. Aggregating and reshaping data\n",
"\n",
"We'll use a small sales dataset throughout this section so each operation is easy to follow."
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "82ffd6e1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shape: (24, 5)\n"
]
},
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" region | \n",
" product | \n",
" quarter | \n",
" revenue | \n",
" units | \n",
"
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" \n",
" \n",
" \n",
" | 0 | \n",
" North | \n",
" A | \n",
" Q1 | \n",
" 1200 | \n",
" 60 | \n",
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" C | \n",
" Q1 | \n",
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" South | \n",
" A | \n",
" Q1 | \n",
" 960 | \n",
" 48 | \n",
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" South | \n",
" B | \n",
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" 1100 | \n",
" 55 | \n",
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" South | \n",
" C | \n",
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" | 6 | \n",
" East | \n",
" A | \n",
" Q1 | \n",
" 780 | \n",
" 39 | \n",
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" B | \n",
" Q1 | \n",
" 920 | \n",
" 46 | \n",
"
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" \n",
"
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"
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],
"text/plain": [
" region product quarter revenue units\n",
"0 North A Q1 1200 60\n",
"1 North B Q1 850 42\n",
"2 North C Q1 430 21\n",
"3 South A Q1 960 48\n",
"4 South B Q1 1100 55\n",
"5 South C Q1 310 15\n",
"6 East A Q1 780 39\n",
"7 East B Q1 920 46"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Sample sales dataset, used throughout section 1\n",
"sales = pd.DataFrame({\n",
" 'region': ['North', 'North', 'North', 'South', 'South', 'South',\n",
" 'East', 'East', 'East', 'West', 'West', 'West'],\n",
" 'product': ['A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C'],\n",
" 'quarter': ['Q1', 'Q1', 'Q1', 'Q1', 'Q1', 'Q1',\n",
" 'Q1', 'Q1', 'Q1', 'Q1', 'Q1', 'Q1'],\n",
" 'revenue': [1200, 850, 430, 960, 1100, 310, 780, 920, 560, 1050, 670, 490],\n",
" 'units': [60, 42, 21, 48, 55, 15, 39, 46, 28, 53, 33, 24],\n",
"})\n",
"\n",
"# Add a second quarter for reshaping examples\n",
"q2 = sales.copy()\n",
"q2['quarter'] = 'Q2'\n",
"q2['revenue'] = (q2['revenue'] * np.random.uniform(0.85, 1.2, len(q2))).round().astype(int)\n",
"q2['units'] = (q2['units'] * np.random.uniform(0.85, 1.2, len(q2))).round().astype(int)\n",
"sales = pd.concat([sales, q2], ignore_index=True)\n",
"\n",
"print(f\"Shape: {sales.shape}\")\n",
"sales.head(8)"
]
},
{
"cell_type": "markdown",
"id": "3fe4a0b9",
"metadata": {},
"source": [
"### 1.1. groupby and aggregation\n",
"\n",
"`groupby` splits the DataFrame into groups by one or more columns, then you apply an aggregation function to each group.\n",
"\n",
"```\n",
"df.groupby('column')['value_column'].agg_function()\n",
"```\n",
"\n",
"You can apply multiple aggregations at once with `.agg()`, and give the results custom names with **named aggregation**."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "64ce7cd0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total revenue by region:\n",
"region\n",
"East 4573\n",
"North 5178\n",
"South 4971\n",
"West 4527\n",
"Name: revenue, dtype: int64\n",
"\n",
"Revenue stats by region:\n",
" sum mean min max\n",
"region \n",
"East 4573 762.166667 560 953\n",
"North 5178 863.000000 369 1370\n",
"South 4971 828.500000 286 1270\n",
"West 4527 754.500000 490 1050\n"
]
}
],
"source": [
"# Single aggregation: total revenue per region\n",
"print(\"Total revenue by region:\")\n",
"print(sales.groupby('region')['revenue'].sum())\n",
"print()\n",
"\n",
"# Multiple aggregations in one call\n",
"print(\"Revenue stats by region:\")\n",
"print(sales.groupby('region')['revenue'].agg(['sum', 'mean', 'min', 'max']))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "ae358e3c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Summary by region and product:\n",
" region product total_revenue total_units avg_revenue\n",
"0 East A 1524 77 762.0\n",
"1 East B 1873 93 936.5\n",
"2 East C 1176 60 588.0\n",
"3 North A 2570 125 1285.0\n",
"4 North B 1809 90 904.5\n",
"5 North C 799 42 399.5\n",
"6 South A 2005 95 1002.5\n",
"7 South B 2370 113 1185.0\n",
"8 South C 596 32 298.0\n",
"9 West A 2100 117 1050.0\n",
"10 West B 1376 61 688.0\n",
"11 West C 1051 49 525.5\n"
]
}
],
"source": [
"# Named aggregation: group by two columns, give results readable names\n",
"summary = sales.groupby(['region', 'product']).agg(\n",
" total_revenue = ('revenue', 'sum'),\n",
" total_units = ('units', 'sum'),\n",
" avg_revenue = ('revenue', 'mean'),\n",
").reset_index()\n",
"\n",
"print(\"Summary by region and product:\")\n",
"print(summary)"
]
},
{
"cell_type": "markdown",
"id": "1eb759b2",
"metadata": {},
"source": [
"### 1.2. pivot_table\n",
"\n",
"`pivot_table` is like a spreadsheet pivot: it lets you cross-tabulate two categorical columns and fill the cells with an aggregated value.\n",
"\n",
"```\n",
"pd.pivot_table(df, values='value', index='row_category', columns='col_category', aggfunc='sum')\n",
"```\n",
"\n",
"Missing combinations are filled with `NaN` by default, or you can pass `fill_value=0`."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "2063ff92",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Revenue pivot table (region x product):\n",
"product A B C Total\n",
"region \n",
"East 1524 1873 1176 4573\n",
"North 2570 1809 799 5178\n",
"South 2005 2370 596 4971\n",
"West 2100 1376 1051 4527\n",
"Total 8199 7428 3622 19249\n",
"\n",
"Units sold by region and quarter:\n",
"quarter Q1 Q2\n",
"region \n",
"East 113 117\n",
"North 123 134\n",
"South 118 122\n",
"West 110 117\n"
]
}
],
"source": [
"# Revenue cross-tabulation: regions as rows, products as columns\n",
"pivot = pd.pivot_table(\n",
" sales,\n",
" values='revenue',\n",
" index='region',\n",
" columns='product',\n",
" aggfunc='sum',\n",
" fill_value=0,\n",
" margins=True, # adds row/column totals\n",
" margins_name='Total'\n",
")\n",
"print(\"Revenue pivot table (region x product):\")\n",
"print(pivot)\n",
"print()\n",
"\n",
"# Units pivot with multiple quarters: region x quarter\n",
"units_pivot = pd.pivot_table(\n",
" sales,\n",
" values='units',\n",
" index='region',\n",
" columns='quarter',\n",
" aggfunc='sum',\n",
" fill_value=0\n",
")\n",
"print(\"Units sold by region and quarter:\")\n",
"print(units_pivot)"
]
},
{
"cell_type": "markdown",
"id": "cbce8e4c",
"metadata": {},
"source": [
"### 1.3. melt: wide to long\n",
"\n",
"Many raw datasets arrive in **wide format**: one row per subject, with each observation as a separate column. Long format puts each observation on its own row, which is what most plotting libraries and ML pipelines expect.\n",
"\n",
"`melt` converts wide to long:\n",
"\n",
"```\n",
"df.melt(id_vars=['keep_these'], value_vars=['col1', 'col2'], var_name='variable', value_name='value')\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "e0f355bb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Wide format (one row per region):\n",
" region Q1 Q2\n",
"0 East 2260 2313\n",
"1 North 2480 2698\n",
"2 South 2370 2601\n",
"3 West 2210 2317\n",
"\n",
"Long format (one row per region-quarter combination):\n",
" region quarter revenue\n",
"0 East Q1 2260\n",
"1 East Q2 2313\n",
"2 North Q1 2480\n",
"3 North Q2 2698\n",
"4 South Q1 2370\n",
"5 South Q2 2601\n",
"6 West Q1 2210\n",
"7 West Q2 2317\n"
]
}
],
"source": [
"# Wide format: one row per region, separate columns for Q1 and Q2 revenue\n",
"wide = pd.pivot_table(sales, values='revenue', index='region',\n",
" columns='quarter', aggfunc='sum').reset_index()\n",
"wide.columns.name = None # tidy up the column label\n",
"print(\"Wide format (one row per region):\")\n",
"print(wide)\n",
"print()\n",
"\n",
"# melt to long format\n",
"long = wide.melt(\n",
" id_vars='region',\n",
" value_vars=['Q1', 'Q2'],\n",
" var_name='quarter',\n",
" value_name='revenue'\n",
")\n",
"print(\"Long format (one row per region-quarter combination):\")\n",
"print(long.sort_values(['region', 'quarter']).reset_index(drop=True))"
]
},
{
"cell_type": "markdown",
"id": "6e5d09ef",
"metadata": {},
"source": [
"### 1.4. pivot: long to wide\n",
"\n",
"`pivot` is the reverse of `melt`. It takes a long-format DataFrame and spreads one column's values out as separate columns.\n",
"\n",
"```\n",
"df.pivot(index='row_id', columns='variable_col', values='value_col')\n",
"```\n",
"\n",
"Note: `pivot` requires that the combination of `index` and `columns` is unique. If you have duplicate combinations, use `pivot_table` instead (which can handle duplicates by aggregating them)."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "aebb8150",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pivoted back to wide format:\n",
" Q1 Q2\n",
"region \n",
"East 2260 2313\n",
"North 2480 2698\n",
"South 2370 2601\n",
"West 2210 2317\n",
"\n"
]
}
],
"source": [
"# Start from long format and pivot back to wide\n",
"wide_again = long.pivot(index='region', columns='quarter', values='revenue')\n",
"wide_again.columns.name = None\n",
"print(\"Pivoted back to wide format:\")\n",
"print(wide_again)\n",
"print()"
]
},
{
"cell_type": "markdown",
"id": "2d8b9a6f",
"metadata": {},
"source": [
"## 2. Combining data\n",
"\n",
"Real-world data rarely arrives in a single table. Pandas gives you three main tools for combining DataFrames:\n",
"\n",
"| Tool | When to use it |\n",
"|---|---|\n",
"| `pd.concat` | Stack DataFrames that have the **same columns** (more rows) or same rows (more columns) |\n",
"| `pd.merge` | Join two DataFrames on a **shared key column**, like a SQL JOIN |\n",
"| `df.join` | Join two DataFrames on their **index** |\n",
"\n",
"We'll use a small set of related tables throughout this section."
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "6d69cd07",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"orders_jan:\n",
" order_id customer_id product amount\n",
"0 1 101 Laptop 1200\n",
"1 2 102 Mouse 25\n",
"2 3 103 Keyboard 75\n",
"3 4 101 Monitor 300\n",
"\n",
"orders_feb:\n",
" order_id customer_id product amount\n",
"0 5 104 Webcam 80\n",
"1 6 102 Headset 55\n",
"2 7 105 Laptop 1150\n",
"\n",
"customers:\n",
" customer_id name city\n",
"0 101 Alice London\n",
"1 102 Bob Paris\n",
"2 103 Carol Berlin\n",
"3 104 Dave Madrid\n",
"4 105 Eve Rome\n",
"\n",
"loyalty:\n",
" customer_id tier\n",
"0 101 Gold\n",
"1 102 Silver\n",
"2 104 Bronze\n"
]
}
],
"source": [
"# Three related tables used in section 2\n",
"\n",
"# Orders placed in January\n",
"orders_jan = pd.DataFrame({\n",
" 'order_id': [1, 2, 3, 4],\n",
" 'customer_id':[101, 102, 103, 101],\n",
" 'product': ['Laptop', 'Mouse', 'Keyboard', 'Monitor'],\n",
" 'amount': [1200, 25, 75, 300],\n",
"})\n",
"\n",
"# Orders placed in February\n",
"orders_feb = pd.DataFrame({\n",
" 'order_id': [5, 6, 7],\n",
" 'customer_id':[104, 102, 105],\n",
" 'product': ['Webcam', 'Headset', 'Laptop'],\n",
" 'amount': [80, 55, 1150],\n",
"})\n",
"\n",
"# Customer details; note: customer 105 has no orders yet in Jan\n",
"customers = pd.DataFrame({\n",
" 'customer_id': [101, 102, 103, 104, 105],\n",
" 'name': ['Alice', 'Bob', 'Carol', 'Dave', 'Eve'],\n",
" 'city': ['London', 'Paris', 'Berlin', 'Madrid', 'Rome'],\n",
"})\n",
"\n",
"# Loyalty tier table, only covers some customers\n",
"loyalty = pd.DataFrame({\n",
" 'customer_id': [101, 102, 104],\n",
" 'tier': ['Gold', 'Silver', 'Bronze'],\n",
"})\n",
"\n",
"print(\"orders_jan:\"); print(orders_jan); print()\n",
"print(\"orders_feb:\"); print(orders_feb); print()\n",
"print(\"customers:\"); print(customers); print()\n",
"print(\"loyalty:\"); print(loyalty)"
]
},
{
"cell_type": "markdown",
"id": "b5b33eba",
"metadata": {},
"source": [
"### 2.1. concat: stacking DataFrames\n",
"\n",
"`pd.concat` stacks DataFrames that share the same structure.\n",
"\n",
"- `axis=0` (default): stack **vertically**, more rows, same columns. Use when you have the same data for different time periods or batches.\n",
"- `axis=1`: stack **horizontally**, more columns, same rows. Use when you want to add new feature columns alongside existing ones.\n",
"\n",
"Pass `ignore_index=True` to get a clean, consecutive row index in the result."
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "99974fb1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"All orders (Jan + Feb stacked vertically):\n",
" order_id customer_id product amount\n",
"0 1 101 Laptop 1200\n",
"1 2 102 Mouse 25\n",
"2 3 103 Keyboard 75\n",
"3 4 101 Monitor 300\n",
"4 5 104 Webcam 80\n",
"5 6 102 Headset 55\n",
"6 7 105 Laptop 1150\n",
"\n",
"Jan rows: 4 Feb rows: 3 Combined: 7\n",
"\n",
"With source labels (multi-level index):\n",
" order_id customer_id product amount\n",
"January 0 1 101 Laptop 1200\n",
" 1 2 102 Mouse 25\n",
" 2 3 103 Keyboard 75\n",
" 3 4 101 Monitor 300\n",
"February 0 5 104 Webcam 80\n",
" 1 6 102 Headset 55\n",
" 2 7 105 Laptop 1150\n"
]
}
],
"source": [
"# Vertical concat: combine January and February orders into one table\n",
"all_orders = pd.concat([orders_jan, orders_feb], ignore_index=True)\n",
"print(\"All orders (Jan + Feb stacked vertically):\")\n",
"print(all_orders)\n",
"print(f\"\\nJan rows: {len(orders_jan)} Feb rows: {len(orders_feb)} Combined: {len(all_orders)}\")\n",
"print()\n",
"\n",
"# keys= labels which source each row came from, useful for tracking\n",
"all_orders_labelled = pd.concat(\n",
" [orders_jan, orders_feb],\n",
" keys=['January', 'February']\n",
")\n",
"print(\"With source labels (multi-level index):\")\n",
"print(all_orders_labelled)"
]
},
{
"cell_type": "markdown",
"id": "9e8e1510",
"metadata": {},
"source": [
"### 2.2. merge: joining on a shared key column\n",
"\n",
"`pd.merge` joins two DataFrames on a common column, exactly like a SQL JOIN. The `how` parameter controls which rows are kept:\n",
"\n",
"| `how` | Rows kept |\n",
"|---|---|\n",
"| `'inner'` | Only rows where the key exists in **both** tables (default) |\n",
"| `'left'` | All rows from the **left** table; `NaN` where no match in right |\n",
"| `'right'` | All rows from the **right** table; `NaN` where no match in left |\n",
"| `'outer'` | All rows from **both** tables; `NaN` wherever there is no match |"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "85175db6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"INNER join (orders + customers):\n",
" order_id customer_id product amount name city\n",
"0 1 101 Laptop 1200 Alice London\n",
"1 2 102 Mouse 25 Bob Paris\n",
"2 3 103 Keyboard 75 Carol Berlin\n",
"3 4 101 Monitor 300 Alice London\n",
"4 5 104 Webcam 80 Dave Madrid\n",
"5 6 102 Headset 55 Bob Paris\n",
"6 7 105 Laptop 1150 Eve Rome\n",
"Rows: 7\n",
"\n"
]
}
],
"source": [
"# Inner join: only orders that have a matching customer record\n",
"inner = pd.merge(all_orders, customers, on='customer_id', how='inner')\n",
"print(\"INNER join (orders + customers):\")\n",
"print(inner)\n",
"print(f\"Rows: {len(inner)}\\n\")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "7d3701a8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"LEFT join (all orders + loyalty tier where available):\n",
" order_id customer_id product amount tier\n",
"0 1 101 Laptop 1200 Gold\n",
"1 2 102 Mouse 25 Silver\n",
"2 3 103 Keyboard 75 NaN\n",
"3 4 101 Monitor 300 Gold\n",
"4 5 104 Webcam 80 Bronze\n",
"5 6 102 Headset 55 Silver\n",
"6 7 105 Laptop 1150 NaN\n",
"Rows: 7 (same as all_orders, no orders dropped)\n",
"\n"
]
}
],
"source": [
"# Left join: keep all orders, add loyalty tier where it exists, NaN where not\n",
"left = pd.merge(all_orders, loyalty, on='customer_id', how='left')\n",
"print(\"LEFT join (all orders + loyalty tier where available):\")\n",
"print(left)\n",
"print(f\"Rows: {len(left)} (same as all_orders, no orders dropped)\\n\")"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "26f1e16b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"OUTER join (all customers + all orders, NaN where no match):\n",
" customer_id name city order_id product amount\n",
"0 101 Alice London 1 Laptop 1200\n",
"1 101 Alice London 4 Monitor 300\n",
"2 102 Bob Paris 2 Mouse 25\n",
"3 102 Bob Paris 6 Headset 55\n",
"4 103 Carol Berlin 3 Keyboard 75\n",
"5 104 Dave Madrid 5 Webcam 80\n",
"6 105 Eve Rome 7 Laptop 1150\n"
]
}
],
"source": [
"# Outer join: all customers, whether or not they placed an order\n",
"outer = pd.merge(customers, all_orders, on='customer_id', how='outer')\n",
"print(\"OUTER join (all customers + all orders, NaN where no match):\")\n",
"print(outer.sort_values('customer_id').reset_index(drop=True))"
]
},
{
"cell_type": "markdown",
"id": "3c7e7cca",
"metadata": {},
"source": [
"### 2.3. join: joining on the index\n",
"\n",
"`df.join` is a convenience wrapper around `merge` that joins on the DataFrame **index** rather than a named column. It defaults to a left join.\n",
"\n",
"It is most useful when you have already set the key column as the index with `.set_index()`, or when you want to quickly attach lookup columns to an existing table."
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "34632043",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"customers.join(loyalty): left join on customer_id index:\n",
" name city tier\n",
"customer_id \n",
"101 Alice London Gold\n",
"102 Bob Paris Silver\n",
"103 Carol Berlin NaN\n",
"104 Dave Madrid Bronze\n",
"105 Eve Rome NaN\n",
"\n",
"Equivalent merge result (identical):\n",
" name city tier\n",
"customer_id \n",
"101 Alice London Gold\n",
"102 Bob Paris Silver\n",
"103 Carol Berlin NaN\n",
"104 Dave Madrid Bronze\n",
"105 Eve Rome NaN\n",
"\n",
"Results identical: True\n"
]
}
],
"source": [
"# Set customer_id as the index on both tables\n",
"customers_idx = customers.set_index('customer_id')\n",
"loyalty_idx = loyalty.set_index('customer_id')\n",
"\n",
"# join: attach loyalty tier to customer info (left join on index by default)\n",
"result = customers_idx.join(loyalty_idx, how='left')\n",
"print(\"customers.join(loyalty): left join on customer_id index:\")\n",
"print(result)\n",
"print()\n",
"\n",
"# Equivalent merge, produces the same result\n",
"equiv = pd.merge(customers, loyalty, on='customer_id', how='left').set_index('customer_id')\n",
"print(\"Equivalent merge result (identical):\")\n",
"print(equiv)\n",
"print()\n",
"print(\"Results identical:\", result.equals(equiv))"
]
},
{
"cell_type": "markdown",
"id": "85a7b9f6",
"metadata": {},
"source": [
"### 2.4. When to use which\n",
"\n",
"| Situation | Best tool |\n",
"|---|---|\n",
"| Same columns, more rows (e.g. monthly batches) | `pd.concat(axis=0)` |\n",
"| Same rows, more columns (e.g. adding feature blocks) | `pd.concat(axis=1)` |\n",
"| Join on a named key column, need to control which rows to keep | `pd.merge` |\n",
"| Join on the index, or a quick left-join lookup | `df.join` |\n",
"\n",
"A common real-world workflow is to use `pd.concat` to stack batches of raw data, then use `pd.merge` to enrich it with lookup tables (e.g. product names, region codes, customer tiers)."
]
},
{
"cell_type": "markdown",
"id": "5932b256",
"metadata": {},
"source": [
"## 3. Handling missing data\n",
"\n",
"We'll examine missing data in the `MedInc` (median income) feature and compare four imputation methods."
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "88612d85",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" MedInc | \n",
" HouseAge | \n",
" AveRooms | \n",
" AveBedrms | \n",
" Population | \n",
" AveOccup | \n",
" Latitude | \n",
" Longitude | \n",
" MedHouseVal | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" 8.3252 | \n",
" 41.0 | \n",
" 6.984127 | \n",
" 1.023810 | \n",
" NaN | \n",
" 2.555556 | \n",
" 37.88 | \n",
" -122.23 | \n",
" 4.526 | \n",
"
\n",
" \n",
" | 1 | \n",
" 8.3014 | \n",
" 21.0 | \n",
" NaN | \n",
" 0.971880 | \n",
" 2401.0 | \n",
" 2.109842 | \n",
" 37.86 | \n",
" -122.22 | \n",
" 3.585 | \n",
"
\n",
" \n",
" | 2 | \n",
" 7.2574 | \n",
" 52.0 | \n",
" 8.288136 | \n",
" 1.073446 | \n",
" 496.0 | \n",
" 2.802260 | \n",
" NaN | \n",
" -122.24 | \n",
" 3.521 | \n",
"
\n",
" \n",
" | 3 | \n",
" 5.6431 | \n",
" 52.0 | \n",
" 5.817352 | \n",
" 1.073059 | \n",
" 558.0 | \n",
" 2.547945 | \n",
" 37.85 | \n",
" -122.25 | \n",
" 3.413 | \n",
"
\n",
" \n",
" | 4 | \n",
" 3.8462 | \n",
" 52.0 | \n",
" 6.281853 | \n",
" 1.081081 | \n",
" 565.0 | \n",
" 2.181467 | \n",
" 37.85 | \n",
" -122.25 | \n",
" 3.422 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" MedInc HouseAge AveRooms AveBedrms Population AveOccup Latitude \\\n",
"0 8.3252 41.0 6.984127 1.023810 NaN 2.555556 37.88 \n",
"1 8.3014 21.0 NaN 0.971880 2401.0 2.109842 37.86 \n",
"2 7.2574 52.0 8.288136 1.073446 496.0 2.802260 NaN \n",
"3 5.6431 52.0 5.817352 1.073059 558.0 2.547945 37.85 \n",
"4 3.8462 52.0 6.281853 1.081081 565.0 2.181467 37.85 \n",
"\n",
" Longitude MedHouseVal \n",
"0 -122.23 4.526 \n",
"1 -122.22 3.585 \n",
"2 -122.24 3.521 \n",
"3 -122.25 3.413 \n",
"4 -122.25 3.422 "
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_original = pd.read_csv('https://media.githubusercontent.com/media/gperdrizet/fullstack-2605/refs/heads/main/data/california_housing.csv')\n",
"df = pd.read_csv('https://media.githubusercontent.com/media/gperdrizet/fullstack-2605/refs/heads/main/data/salted_housing_data.csv')\n",
"\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "310389a4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"RangeIndex: 20640 entries, 0 to 20639\n",
"Data columns (total 9 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 MedInc 19775 non-null float64\n",
" 1 HouseAge 19857 non-null float64\n",
" 2 AveRooms 18671 non-null float64\n",
" 3 AveBedrms 20044 non-null float64\n",
" 4 Population 19649 non-null float64\n",
" 5 AveOccup 18684 non-null float64\n",
" 6 Latitude 18885 non-null float64\n",
" 7 Longitude 18798 non-null float64\n",
" 8 MedHouseVal 20370 non-null float64\n",
"dtypes: float64(9)\n",
"memory usage: 1.4 MB\n"
]
}
],
"source": [
"df.info()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "ae2146c1",
"metadata": {},
"outputs": [],
"source": [
"missing_feature = 'MedInc'\n",
"outlier_feature = 'MedHouseVal'"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "07ee4e5d",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.title(f'Distribution of {missing_feature}')\n",
"\n",
"plt.hist(df[missing_feature], bins=30, color='skyblue', edgecolor='black')\n",
"plt.xlabel('Median Income (in 100k USD)')\n",
"plt.ylabel('Frequency')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "38c0b777",
"metadata": {},
"source": [
"### 3.1. Check for missing values"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "295a9ef2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"MedInc contains 865 missing values.\n"
]
}
],
"source": [
"print(f'{missing_feature} contains {df[missing_feature].isnull().sum()} missing values.')"
]
},
{
"cell_type": "markdown",
"id": "d02cd573",
"metadata": {},
"source": [
"### 3.2. Imputation methods\n",
"\n",
"#### Mean imputation"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "48599e70",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Mean imputation value: 3.87\n"
]
}
],
"source": [
"df_mean = df.copy()\n",
"df_mean.fillna({missing_feature: df_mean[missing_feature].mean()}, inplace=True)\n",
"\n",
"print(f\"Mean imputation value: {df[missing_feature].mean():.2f}\")"
]
},
{
"cell_type": "markdown",
"id": "5a526dc0",
"metadata": {},
"source": [
"#### Median imputation"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "dd9350db",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Median imputation value: 3.53\n"
]
}
],
"source": [
"df_median = df.copy()\n",
"df_median.fillna({missing_feature: df_median[missing_feature].median()}, inplace=True)\n",
"\n",
"print(f\"Median imputation value: {df[missing_feature].median():.2f}\")"
]
},
{
"cell_type": "markdown",
"id": "2a7e3ed5",
"metadata": {},
"source": [
"#### KNN imputation\n",
"\n",
"Uses all features to find the 5 nearest neighbors and imputes missing values based on their feature values."
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "0cc8f61b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"KNN imputation uses 5 nearest neighbors across all 9 features\n"
]
}
],
"source": [
"knn_imputer = KNNImputer(n_neighbors=5)\n",
"df_knn_full = knn_imputer.fit_transform(df)\n",
"\n",
"# Extract the feature of interest\n",
"df_knn = pd.DataFrame(\n",
" df_knn_full[:, df.columns.get_loc(missing_feature)],\n",
" columns=[missing_feature],\n",
" index=df.index\n",
")\n",
"\n",
"print(f\"KNN imputation uses 5 nearest neighbors across all {len(df.columns)} features\")"
]
},
{
"cell_type": "markdown",
"id": "4cfac6f1",
"metadata": {},
"source": [
"#### Iterative imputation\n",
"\n",
"Models each feature as a function of others through multiple iterations, capturing multivariate relationships."
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "4fb9ca92",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Iterative imputation models relationships across all 9 features\n"
]
}
],
"source": [
"iterative_imputer = IterativeImputer(max_iter=10, random_state=42)\n",
"df_iterative_full = iterative_imputer.fit_transform(df)\n",
"\n",
"# Extract the feature of interest\n",
"df_iterative = pd.DataFrame(\n",
" df_iterative_full[:, df.columns.get_loc(missing_feature)],\n",
" columns=[missing_feature],\n",
" index=df.index\n",
")\n",
"\n",
"print(f\"Iterative imputation models relationships across all {len(df.columns)} features\")"
]
},
{
"cell_type": "markdown",
"id": "a43f328e",
"metadata": {},
"source": [
"### 3.3. Compare imputation results\n",
"\n",
"Visualize how each imputation method affects the distribution of `MedInc`."
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "6da4a049",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(2, 2, figsize=(8, 6))\n",
"axes = axes.flatten()\n",
"\n",
"# Create KDE of original distribution\n",
"kde_original = stats.gaussian_kde(df[missing_feature].dropna())\n",
"x_range = np.linspace(df[missing_feature].min(), df[missing_feature].max(), 200)\n",
"kde_values = kde_original(x_range)\n",
"\n",
"# Define imputation methods and their properties\n",
"imputation_methods = [\n",
" {'data': df_mean, 'title': 'Mean Imputation', 'color': 'green', 'label': 'Mean Imputed'},\n",
" {'data': df_median, 'title': 'Median Imputation', 'color': 'orange', 'label': 'Median Imputed'},\n",
" {'data': df_knn, 'title': 'KNN Imputation', 'color': 'purple', 'label': 'KNN Imputed'},\n",
" {'data': df_iterative, 'title': 'Iterative Imputation', 'color': 'teal', 'label': 'Iterative Imputed'}\n",
"]\n",
"\n",
"# Plot each imputation method\n",
"for idx, method in enumerate(imputation_methods):\n",
" ax = axes[idx]\n",
" \n",
" ax.set_title(method['title'])\n",
" ax.hist(\n",
" method['data'][missing_feature],\n",
" bins=30, density=True,\n",
" edgecolor='black', color=method['color'],\n",
" label=method['label']\n",
" )\n",
" ax.plot(\n",
" x_range, kde_values,\n",
" 'b-', linewidth=2.5,\n",
" label='Original Distribution'\n",
" )\n",
" ax.set_xlabel(missing_feature)\n",
" ax.set_ylabel('Density')\n",
" ax.legend(loc='upper right')\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "4beaef73",
"metadata": {},
"source": [
"## 4. Outlier detection methods\n",
"\n",
"This section demonstrates four common methods for detecting outliers:\n",
"\n",
"- **IQR method**: Use interquartile range (Q3 - Q1) to identify outliers\n",
"- **Z-score method**: Identify values more than 3 standard deviations from the mean\n",
"- **Isolation Forest**: Machine learning algorithm that isolates anomalies\n",
"- **Local Outlier Factor (LOF)**: Density-based method comparing local density to neighbors"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "b57db4d6",
"metadata": {},
"outputs": [],
"source": [
"outlier_feature = 'MedInc'"
]
},
{
"cell_type": "markdown",
"id": "568edce9",
"metadata": {},
"source": [
"### 4.1. Visualize feature distribution"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "3e11a9c2",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(1, 2, figsize=(8, 3))\n",
"\n",
"# Histogram\n",
"axes[0].set_title(f'Distribution of {outlier_feature}')\n",
"\n",
"axes[0].hist(\n",
" df_original[outlier_feature],\n",
" bins=50,\n",
" color='skyblue',\n",
" edgecolor='black',\n",
")\n",
"\n",
"axes[0].set_xlabel('Median House Value ($100k)')\n",
"axes[0].set_ylabel('Frequency')\n",
"\n",
"# Box plot\n",
"axes[1].set_title(f'Box Plot of {outlier_feature}')\n",
"\n",
"axes[1].boxplot(\n",
" df_original[outlier_feature],\n",
" vert=True,\n",
" patch_artist=True,\n",
" boxprops=dict(facecolor='skyblue'),\n",
" medianprops=dict(color='black'),\n",
" flierprops=dict(marker='o', markerfacecolor='red', markersize=5)\n",
")\n",
"\n",
"axes[1].set_ylabel('Median House Value ($100k)')\n",
"axes[0].set_xlabel('')\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "b7bfdc8d",
"metadata": {},
"source": [
"### 4.2. IQR (interquartile range) method\n",
"\n",
"Defines outliers as values below Q1 - 1.5×IQR or above Q3 + 1.5×IQR."
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "90c48ade",
"metadata": {},
"outputs": [],
"source": [
"def detect_outliers_iqr(data, column, multiplier=1.5):\n",
" \"\"\"\n",
" Detect outliers using the IQR method.\n",
" \n",
" Parameters:\n",
" - data: DataFrame\n",
" - column: column name to check for outliers\n",
" - multiplier: IQR multiplier (typically 1.5 for outliers, 3.0 for extreme outliers)\n",
" \n",
" Returns:\n",
" - Boolean series indicating outliers\n",
" \"\"\"\n",
"\n",
" Q1 = data[column].quantile(0.25)\n",
" Q3 = data[column].quantile(0.75)\n",
" IQR = Q3 - Q1\n",
" \n",
" lower_bound = Q1 - multiplier * IQR\n",
" upper_bound = Q3 + multiplier * IQR\n",
" \n",
" outliers = (data[column] < lower_bound) | (data[column] > upper_bound)\n",
" \n",
" return outliers\n",
"\n",
"outliers_iqr = detect_outliers_iqr(df_original, outlier_feature)"
]
},
{
"cell_type": "markdown",
"id": "b7a7c2d1",
"metadata": {},
"source": [
"### 4.3. Z-score method\n",
"\n",
"Identifies outliers as values with |z-score| > 3, meaning they are more than 3 standard deviations from the mean."
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "eec7e7e1",
"metadata": {},
"outputs": [],
"source": [
"def detect_outliers_zscore(data, column, threshold=3):\n",
" \"\"\"\n",
" Detect outliers using the Z-Score method.\n",
" \n",
" Parameters:\n",
" - data: DataFrame\n",
" - column: column name to check for outliers\n",
" - threshold: z-score threshold (typically 3)\n",
" \n",
" Returns:\n",
" - Boolean series indicating outliers\n",
" \"\"\"\n",
"\n",
" mean = data[column].mean()\n",
" std = data[column].std()\n",
" z_scores = np.abs((data[column] - mean) / std)\n",
" \n",
" outliers = z_scores > threshold\n",
" \n",
" return outliers\n",
"\n",
"outliers_zscore = detect_outliers_zscore(df_original, outlier_feature)"
]
},
{
"cell_type": "markdown",
"id": "671ec1f4",
"metadata": {},
"source": [
"### 4.4. Isolation Forest\n",
"\n",
"Machine learning algorithm designed for anomaly detection that randomly partitions data to identify points that are quickly isolated."
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "cc2ed431",
"metadata": {},
"outputs": [],
"source": [
"def detect_outliers_isolation_forest(data, column, contamination=0.05):\n",
" \"\"\"\n",
" Detect outliers using Isolation Forest.\n",
" \n",
" Parameters:\n",
" - data: DataFrame\n",
" - column: column name to check for outliers\n",
" - contamination: expected proportion of outliers (default 0.05 = 5%)\n",
" \n",
" Returns:\n",
" - Boolean series indicating outliers\n",
" \"\"\"\n",
" # Isolation Forest requires 2D array\n",
" X = data[[column]].values\n",
" \n",
" iso_forest = IsolationForest(contamination=contamination, random_state=42)\n",
" predictions = iso_forest.fit_predict(X)\n",
" \n",
" # Isolation Forest returns -1 for outliers, 1 for inliers\n",
" outliers = predictions == -1\n",
" \n",
" return outliers\n",
"\n",
"outliers_iforest = detect_outliers_isolation_forest(df_original, outlier_feature, contamination=0.025)"
]
},
{
"cell_type": "markdown",
"id": "9e8f6a68",
"metadata": {},
"source": [
"### 4.5. Local Outlier Factor (LOF)\n",
"\n",
"Identifies outliers by measuring local density deviation relative to neighbors. Points with substantially lower density than their neighbors are flagged as outliers."
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "29257b0e",
"metadata": {},
"outputs": [],
"source": [
"def detect_outliers_lof(data, column, n_neighbors=1000):\n",
" \"\"\"\n",
" Detect outliers using Local Outlier Factor.\n",
" \n",
" Parameters:\n",
" - data: DataFrame\n",
" - column: column name to check for outliers\n",
" - n_neighbors: number of neighbors to consider (default 1000)\n",
" \n",
" Returns:\n",
" - Boolean series indicating outliers\n",
" \"\"\"\n",
"\n",
" # LOF requires 2D array\n",
" X = data[[column]].values\n",
" \n",
" lof = LocalOutlierFactor(n_neighbors=n_neighbors)\n",
" predictions = lof.fit_predict(X)\n",
" \n",
" # LOF returns -1 for outliers, 1 for inliers\n",
" outliers = predictions == -1\n",
"\n",
" return outliers\n",
"\n",
"outliers_lof = detect_outliers_lof(df_original, outlier_feature)"
]
},
{
"cell_type": "markdown",
"id": "217fcfc3",
"metadata": {},
"source": [
"### 4.6. Compare outlier detection methods\n",
"\n",
"Visualize how each method identifies outliers in the feature."
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "898bf5de",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Precompute 30 bins for consistent histogram display across all methods\n",
"n_hist_bins = 30\n",
"\n",
"hist_bins = np.linspace(\n",
" df_original[outlier_feature].min(), \n",
" df_original[outlier_feature].max(), \n",
" n_hist_bins + 1\n",
")\n",
"\n",
"fig = plt.figure(figsize=(8, 11))\n",
"gs = GridSpec(4, 2, figure=fig, width_ratios=[4, 1], hspace=0.4, wspace=0.05)\n",
"fig.supylabel('Median House Value ($100k)')\n",
"\n",
"# Define detection methods\n",
"detection_methods = [\n",
" {'outliers': outliers_iqr, 'title': 'IQR Method'},\n",
" {'outliers': outliers_zscore, 'title': 'Z-Score Method'},\n",
" {'outliers': outliers_iforest, 'title': 'Isolation Forest'},\n",
" {'outliers': outliers_lof, 'title': 'Local Outlier Factor'}\n",
"]\n",
"\n",
"# Plot each detection method\n",
"for idx, method in enumerate(detection_methods):\n",
" outliers = method['outliers']\n",
" \n",
" # Scatter plot\n",
" ax_scatter = fig.add_subplot(gs[idx, 0])\n",
" ax_scatter.set_title(f\"{method['title']}: {outliers.sum()} outliers detected\")\n",
" \n",
" ax_scatter.scatter(\n",
" df_original.index[~outliers],\n",
" df_original.loc[~outliers, outlier_feature], \n",
" c='teal', alpha=0.5, s=5\n",
" )\n",
" \n",
" ax_scatter.scatter(\n",
" df_original.index[outliers],\n",
" df_original.loc[outliers, outlier_feature], \n",
" c='orange', alpha=0.7 if idx == 3 else 1.0, s=5, label='Outliers'\n",
" )\n",
" \n",
" if idx == 3: # Last plot gets x-label\n",
" ax_scatter.set_xlabel('Index')\n",
" ax_scatter.set_ylabel('')\n",
" ax_scatter.legend(loc='lower left', framealpha=1, markerscale=3)\n",
" \n",
" # Histogram\n",
" ax_hist = fig.add_subplot(gs[idx, 1], sharey=ax_scatter)\n",
" ax_hist.hist(\n",
" df_original.loc[~outliers, outlier_feature],\n",
" bins=hist_bins, orientation='horizontal', \n",
" color='teal', alpha=0.7, edgecolor='black'\n",
" )\n",
" \n",
" ax_hist.hist(\n",
" df_original.loc[outliers, outlier_feature],\n",
" bins=hist_bins, orientation='horizontal', \n",
" color='orange', edgecolor='black'\n",
" )\n",
" \n",
" ax_hist.tick_params(labelleft=False)\n",
" ax_hist.set_xlabel('Count', fontsize=10)\n",
"\n",
"plt.subplots_adjust(left=0.075)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "c35ce299",
"metadata": {},
"source": [
"## 5. Handling outliers\n",
"\n",
"Once outliers are detected, we must decide how to handle them. This section demonstrates four common approaches:\n",
"\n",
"- **Removal**: Remove outlier observations from the dataset\n",
"- **Capping (Winsorization)**: Replace outliers with boundary values (5th and 95th percentiles)\n",
"- **Binning (Discretization)**: Convert continuous values into discrete bins\n",
"- **Log transformation**: Apply logarithmic transformation to compress value range"
]
},
{
"cell_type": "markdown",
"id": "615e0b50",
"metadata": {},
"source": [
"### 5.1. Removal\n",
"\n",
"Remove outliers identified by the IQR method from the dataset."
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "2422e341",
"metadata": {},
"outputs": [],
"source": [
"# Method 1: Remove outliers\n",
"df_removed = df_original[~outliers_iqr].copy()"
]
},
{
"cell_type": "markdown",
"id": "3bbc0cce",
"metadata": {},
"source": [
"### 5.2. Capping (Winsorization)\n",
"\n",
"Cap outliers at the 5th and 95th percentiles, preserving sample size while limiting extreme values."
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "3750df6c",
"metadata": {},
"outputs": [],
"source": [
"# Method 2: Cap outliers at percentiles\n",
"lower_percentile = df_original[outlier_feature].quantile(0.05)\n",
"upper_percentile = df_original[outlier_feature].quantile(0.95)\n",
"\n",
"df_capped = df_original.copy()\n",
"df_capped[outlier_feature] = df_capped[outlier_feature].clip(lower=lower_percentile, upper=upper_percentile)\n",
"\n",
"# Count how many values were capped\n",
"n_capped_lower = (df_original[outlier_feature] < lower_percentile).sum()\n",
"n_capped_upper = (df_original[outlier_feature] > upper_percentile).sum()"
]
},
{
"cell_type": "markdown",
"id": "1ec34621",
"metadata": {},
"source": [
"### 5.3. Binning (discretization)\n",
"\n",
"Convert continuous values into discrete quantile bins, reducing outlier impact by grouping extreme values with similar values."
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "46d579c1",
"metadata": {},
"outputs": [],
"source": [
"# Method 3: Binning into 10 equal-width bins\n",
"df_binned = df_original.copy()\n",
"\n",
"# Create equal-width bins using sklearn\n",
"n_bins = 10\n",
"kbd = KBinsDiscretizer(n_bins=n_bins, encode='ordinal', strategy='quantile', quantile_method='linear')\n",
"\n",
"# Fit and transform the data\n",
"df_binned[f'{outlier_feature}_binned_numeric'] = kbd.fit_transform(\n",
" df_binned[[outlier_feature]]\n",
").astype(int) + 1 # Add 1 to start bins at 1 instead of 0\n",
"\n",
"# Extract bin edges for visualization\n",
"bin_edges = kbd.bin_edges_[0]"
]
},
{
"cell_type": "markdown",
"id": "e989a8ff",
"metadata": {},
"source": [
"### 5.4. Log transformation\n",
"\n",
"Apply log(1 + x) transformation to compress the value range and reduce outlier impact."
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "591202dd",
"metadata": {},
"outputs": [],
"source": [
"# Method 4: Log transformation\n",
"df_log = df_original.copy()\n",
"\n",
"# Apply log1p transformation (log(1 + x)) to handle zeros\n",
"df_log[f'{outlier_feature}_log'] = np.log1p(df_log[outlier_feature])"
]
},
{
"cell_type": "markdown",
"id": "55b746f4",
"metadata": {},
"source": [
"### 5.5. Compare outlier handling methods\n",
"\n",
"Visualize how each method affects the distribution of `MedHouseVal`, with the original distribution overlaid for comparison."
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "455b8049",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(2, 2, figsize=(8, 6))\n",
"axes = axes.flatten()\n",
"\n",
"# Create KDE of original distribution with small bandwidth to preserve outlier spike\n",
"kde_original = stats.gaussian_kde(df_original[outlier_feature].dropna(), bw_method=0.1)\n",
"x_range = np.linspace(df_original[outlier_feature].min(), df_original[outlier_feature].max(), 300)\n",
"kde_values = kde_original(x_range)\n",
"\n",
"# Create KDE for log-transformed original distribution\n",
"kde_original_log = stats.gaussian_kde(np.log1p(df_original[outlier_feature].dropna()), bw_method=0.15)\n",
"x_range_log = np.linspace(df_log[f'{outlier_feature}_log'].min(), df_log[f'{outlier_feature}_log'].max(), 300)\n",
"kde_values_log = kde_original_log(x_range_log)\n",
"\n",
"# Define handling methods\n",
"handling_methods = [\n",
" {'data': df_removed[outlier_feature], 'title': f'Method 1: Removal (n={len(df_removed)})', \n",
" 'color': 'green', 'label': 'After Removal', 'bins': 20, \n",
" 'x_range': x_range, 'kde_values': kde_values, 'xlabel': outlier_feature},\n",
" {'data': df_capped[outlier_feature], 'title': f'Method 2: Capping (n={len(df_capped)})', \n",
" 'color': 'orange', 'label': 'After Capping', 'bins': 20,\n",
" 'x_range': x_range, 'kde_values': kde_values, 'xlabel': outlier_feature},\n",
" {'data': df_binned[outlier_feature], 'title': f'Method 3: Binning (n={len(df_binned)}, {n_bins} bins)', \n",
" 'color': 'purple', 'label': 'After Binning', 'bins': bin_edges,\n",
" 'x_range': x_range, 'kde_values': kde_values, 'xlabel': outlier_feature},\n",
" {'data': df_log[f'{outlier_feature}_log'], 'title': f'Method 4: Log Transform (n={len(df_log)})', \n",
" 'color': 'teal', 'label': 'After Log Transform', 'bins': 30,\n",
" 'x_range': x_range_log, 'kde_values': kde_values_log, 'xlabel': f'log(1 + {outlier_feature})'}\n",
"]\n",
"\n",
"# Plot each handling method\n",
"for idx, method in enumerate(handling_methods):\n",
" ax = axes[idx]\n",
" \n",
" ax.set_title(method['title'])\n",
" ax.hist(\n",
" method['data'],\n",
" bins=method['bins'], edgecolor='black', color=method['color'],\n",
" density=True, label=method['label']\n",
" )\n",
" \n",
" ax.plot(\n",
" method['x_range'], method['kde_values'],\n",
" 'b-', linewidth=2.5,\n",
" label='Original (log-transformed)' if idx == 3 else 'Original Distribution'\n",
" )\n",
" \n",
" ax.set_xlabel(method['xlabel'])\n",
" ax.set_ylabel('Density')\n",
" ax.legend(loc='upper right', framealpha=1, markerscale=3)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ca831311",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}