Upload a jupyter notebook with your answer, the deadline is GMT+8Assignment 4 1 Assignment 4...

Question

Upload a jupyter notebook with your answer, the deadline is GMT+8

Assignment 4 1 Assignment 4 Instruction You are being given a file hw.csv which contain the Property Transaction price of Kowloon between Nov 2014 to Nov 2020. The data was extracted from the "District Latest Deals" from https://data.28hse.com/en/ The header of the data file is quite strange. You may have to refer to the 28hse website and some other research. (e.g. GFA vs SFA You are free to use other data set, but it's optional. Using it will help you getting some bonus score. If you do it please upload the data file on moodle. Pls note that there's a limit on file upload of 200MB. Question 1, 2, 3, 4 are more straight forward questions which test your basic programming skills. I don't expect very long answers to get the full scores. But of course I am happy if you have done more than expected. Question 1b is a bonus question. You get extra marks if you complete this question. The full marks is capped at 100%. That means you can still get 100% without attempting this question. Beside the extra bonus marks this may help you on question 5. Question 5 are quite open-ended and that test both your programming skill and analytic skills. You can give simple answer or you can give very complicated answer. Though that's only 20% of this assignment, but that few marks may help you to upgrade from B to A, or A to A. https://data.28hse.com/en/ Skylarhihi Skylarhihi Skylarhihi Skylarhihi Skylarhihi Assignment 4 2 Question 1 - Import and cleaning data - 20% Create a pandas dataframe from the data file. Clean up the data (i.e. handle NA value) Drop column that is not useful Rename column to a more meaningful name Make sure the transaction date's data type is numpy datetime Question 1b - Bonus - Merging Data - 10% Get some other dataset and merge them with this data set. e.g. unemployment rate, money supply, inflation, any other interesting data. Question 2 - Data Aggregation - 20% Create another dataframe with the monthly average unit price per district. I would expect you will have column like "year-month", "District", "Average Unit Price GFA", "Average Unit Price SFA". The challenge part is that some data is missing) Create another dataframe with the monthly average unit price per Estate. I would expect you will have column like "year-month", "District", "Average Unit Price GFA", "Average Unit Price SFA". Question 3 - Data visualization - 20% Visualize the overall trend of property price of Kowloon. Select 5 districts and visualize the trend of their property price Select 10 estates and visualize the trend of their property price Question 4 - Learning model - 20% Assignment 4 3 Apply any statistical learning / machine learning to determine what kind of factors impact the property price (distirct? area? floor?, which should include training vs testing data split, training model, evaluating the model. Question 5 - Data Analysis - 20% Show me anything interesting you have found with this data set. Optional: you can also merge with other data)

assignment4instruction-525oc0um.pdf hw-yyxlpcym.csv

Vicky · Accepted Answer

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import and cleaning data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np
",
    "import pandas as pd
",
    "import seaborn as sns
",
    "import matplotlib.pyplot as plt
",
    "from sklearn import metrics
",
    "from sklearn.model_selection import train_test_split
",
    "from sklearn.linear_model import LinearRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py:3072: DtypeWarning: Columns (20) have mixed types.Specify dtype option on import or set low_memory=False.
",
      "  interactivity=interactivity, compiler=compiler, result=result)
"
     ]
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       "    
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       "      
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       "      date
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       "      withpre
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       "      id
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       "      rootid
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       "      fatherid
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       "      catid
",
       "      catname
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       "      catfathername
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       "      url_father
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       "      url_cat
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       "      ...
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       "      month
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       "      day
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       "      date_dm
",
       "      date_y
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       "      block
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       "      state
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       "      floor
",
       "      room
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       "      addr
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       "      Unnamed: 34
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       "    
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       "  
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       "  
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       "    
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       "      0
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       "      2020-11-27
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       "      1.0
",
       "      683333
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       "      2
",
       "      79
",
       "      2058
",
       "      Bel Air Heights
",
       "      Diamond Hill
",
       "      https://data.28hse.com/en/kl/diamond-hill
",
       "      https://data.28hse.com/en/kl/diamond-hill/2058...
",
       "      ...
",
       "      Nov
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       "      27
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       "      27/11
",
       "      2020
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       "      BLOCK 2
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       "      None
",
       "      2#
",
       "      E
",
       "      BLOCK 2 2#/F Room E
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       "      NaN
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       "    
",
       "    
",
       "      1
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       "      2020-11-27
",
       "      1.0
",
       "      683332
",
       "      2
",
       "      71
",
       "      2712
",
       "      Fa Yuen Plaza
",
       "      Mong Kok
",
       "      https://data.28hse.com/en/kl/mong-kok
",
       "      https://data.28hse.com/en/kl/mong-kok/2712_fa-...
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       "      ...
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       "      Nov
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       "      27
",
       "      27/11
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       "      2020
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       "      None
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       "      None
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       "      1#
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       "      C
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       "      1#/F Room C
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       "      NaN
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       "    
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       "    
",
       "      2
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       "      2020-11-27
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       "      1.0
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       "      683331
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       "      2
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       "      78
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       "      3094
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       "      Caldecott Hill
",
       "      Yau Yat Tsuen
",
       "      https://data.28hse.com/en/kl/yau-yat-tsuen
",
       "      https://data.28hse.com/en/kl/yau-yat-tsuen/309...
",
       "      ...
",
       "      Nov
",
       "      27
",
       "      27/11
",
       "      2020
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       "      TOWER 1
",
       "      None
",
       "      7
",
       "      E
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       "      TOWER 1 7/F Room E
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       "      NaN
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       "    
",
       "    
",
       "      3
",
       "      2020-11-27
",
       "      NaN
",
       "      683330
",
       "      2
",
       "      57
",
       "      5035
",
       "      Pang Ching Court
",
       "      Wong Tai Sin
",
       "      https://data.28hse.com/en/kl/wong-tai-sin
",
       "      https://data.28hse.com/en/kl/wong-tai-sin/5035...
",
       "      ...
",
       "      Nov
",
       "      27
",
       "      27/11
",
       "      2020
",
       "      None
",
       "      None
",
       "      1#
",
       "      22
",
       "      1#/F Room 22
",
       "      NaN
",
       "    
",
       "    
",
       "      4
",
       "      2020-11-27
",
       "      1.0
",
       "      683329
",
       "      2
",
       "      67
",
       "      2564
",
       "      Metro Harbour View
",
       "      Tai Kok Tsui
",
       "      https://data.28hse.com/en/kl/tai-kok-tsui
",
       "      https://data.28hse.com/en/kl/tai-kok-tsui/2564...
",
       "      ...
",
       "      Nov
",
       "      27
",
       "      27/11
",
       "      2020
",
       "      BLOCK 8
",
       "      None
",
       "      1#
",
       "      B
",
       "      BLOCK 8 1#/F Room B
",
       "      NaN
",
       "    
",
       "  
",
       "
",
       "5 rows × 35 columns
",
       ""
      ],
      "text/plain": [
       "        date  withpre      id  rootid  fatherid  catid             catname  \
",
       "0 2020-11-27      1.0  683333       2        79   2058     Bel Air Heights   
",
       "1 2020-11-27      1.0  683332       2        71   2712       Fa Yuen Plaza   
",
       "2 2020-11-27      1.0  683331       2        78   3094      Caldecott Hill   
",
       "3 2020-11-27      NaN  683330       2        57   5035    Pang Ching Court   
",
       "4 2020-11-27      1.0  683329       2        67   2564  Metro Harbour View   
",
       "
",
       "   catfathername                                  url_father  \
",
       "0   Diamond Hill   https://data.28hse.com/en/kl/diamond-hill   
",
       "1       Mong Kok       https://data.28hse.com/en/kl/mong-kok   
",
       "2  Yau Yat Tsuen  https://data.28hse.com/en/kl/yau-yat-tsuen   
",
       "3   Wong Tai Sin   https://data.28hse.com/en/kl/wong-tai-sin   
",
       "4   Tai Kok Tsui   https://data.28hse.com/en/kl/tai-kok-tsui   
",
       "
",
       "                                             url_cat  ... month day  date_dm  \
",
       "0  https://data.28hse.com/en/kl/diamond-hill/2058...  ...   Nov  27    27/11   
",
       "1  https://data.28hse.com/en/kl/mong-kok/2712_fa-...  ...   Nov  27    27/11   
",
       "2  https://data.28hse.com/en/kl/yau-yat-tsuen/309...  ...   Nov  27    27/11   
",
       "3  https://data.28hse.com/en/kl/wong-tai-sin/5035...  ...   Nov  27    27/11   
",
       "4  https://data.28hse.com/en/kl/tai-kok-tsui/2564...  ...   Nov  27    27/11   
",
       "
",
       "  date_y    block state  floor room                 addr Unnamed: 34  
",
       "0   2020  BLOCK 2  None     2#    E  BLOCK 2 2#/F Room E         NaN  
",
       "1   2020     None  None     1#    C          1#/F Room C         NaN  
",
       "2   2020  TOWER 1  None      7    E   TOWER 1 7/F Room E         NaN  
",
       "3   2020     None  None     1#   22         1#/F Room 22         NaN  
",
       "4   2020  BLOCK 8  None     1#    B  BLOCK 8 1#/F Room B         NaN  
",
       "
",
       "[5 rows x 35 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('hw.csv',parse_dates=['date'])
",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "
",
      "RangeIndex: 80000 entries, 0 to 79999
",
      "Data columns (total 35 columns):
",
      " #   Column             Non-Null Count  Dtype         
",
      "---  ------             --------------  -----         
",
      " 0   date               80000 non-null  datetime64[ns]
",
      " 1   withpre            56436 non-null  float64       
",
      " 2   id                 80000 non-null  int64         
",
      " 3   rootid             80000 non-null  int64         
",
      " 4   fatherid           80000 non-null  int64         
",
      " 5   catid              80000 non-null  int64         
",
      " 6   catname            80000 non-null  object        
",
      " 7   catfathername      80000 non-null  object        
",
      " 8   url_father         80000 non-null  object        
",
      " 9   url_cat            80000 non-null  object        
",
      " 10  source             68444 non-null  object        
",
      " 11  contract           80000 non-null  object        
",
      " 12  memo               80000 non-null  int64         
",
      " 13  price              80000 non-null  object        
",
      " 14  price_value        80000 non-null  int64         
",
      " 15  holddate           80000 non-null  object        
",
      " 16  winloss_flag       80000 non-null  int64         
",
      " 17  winloss            80000 non-null  object        
",
      " 18  act_area           80000 non-null  object        
",
      " 19  area               80000 non-null  object        
",
      " 20  arearaw            80000 non-null  object        
",
      " 21  sq_price           80000 non-null  object        
",
      " 22  sq_price_value     80000 non-null  float64       
",
      " 23  sq_actprice        80000 non-null  object        
",
      " 24  sq_actprice_value  80000 non-null  float64       
",
      " 25  month              80000 non-null  object        
",
      " 26  day                80000 non-null  int64         
",
      " 27  date_dm            80000 non-null  object        
",
      " 28  date_y             80000 non-null  int64         
",
      " 29  block              79511 non-null  object        
",
      " 30  state              76368 non-null  object        
",
      " 31  floor              80000 non-null  object        
",
      " 32  room               79746 non-null  object        
",
      " 33  addr               80000 non-null  object        
",
      " 34  Unnamed: 34        0 non-null      float64       
",
      "dtypes: datetime64[ns](1), float64(4), int64(9), object(21)
",
      "memory usage: 21.4+ MB
"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Year-Month'] = data['date'].dt.strftime('%Y-%m')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "      8404.80
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       "      0.00
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       "      Metro Harbour View
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       "        date             catname  catfathername   contract  price_value  \
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       "0 2020-11-27     Bel Air Heights   Diamond Hill  Agreement     10000000   
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       "1 2020-11-27       Fa Yuen Plaza       Mong Kok  Agreement      4280000   
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       "2 2020-11-27      Caldecott Hill  Yau Yat Tsuen  Agreement     11000000   
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       "3 2020-11-27    Pang Ching Court   Wong Tai Sin  Agreement      4900000   
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       "4 2020-11-27  Metro Harbour View   Tai Kok Tsui  Agreement      7150000   
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       "
",
       "  arearaw  sq_price_value  sq_actprice_value floor Year-Month  
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       "0     826        12106.54           15220.70    2#    2020-11  
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       "1     347        12334.29           20000.00    1#    2020-11  
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    "# Drop column that is not useful
",
    "data.drop(['withpre','id','rootid','fatherid','catid','url_father','url_cat','source','memo','price','holddate','winloss_flag','winloss','act_area','area','sq_price','sq_actprice','month','day','date_dm','date_y','block','state','room','addr','Unnamed: 34'],axis=1,inplace=True)
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    "data.head()"
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       "        Date              Estate       District   Contract     Price  Area  \
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       "0 2020-11-27     Bel Air Heights   Diamond Hill  Agreement  10000000   826   
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       "1 2020-11-27       Fa Yuen Plaza       Mong Kok  Agreement   4280000   347   
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       "2 2020-11-27      Caldecott Hill  Yau Yat Tsuen  Agreement  11000000  1282   
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       "3 2020-11-27    Pang Ching Court   Wong Tai Sin  Agreement   4900000   583   
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       "4 2020-11-27  Metro Harbour View   Tai Kok Tsui  Agreement   7150000   595   
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       "
",
       "   Average Unit Price (GFA)  Average Unit Price (SFA) Floor Year-Month  
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       "0                  12106.54                  15220.70    2#    2020-11  
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       "3                   8404.80                      0.00    1#    2020-11  
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       "4                  12016.81                  17354.37    1#    2020-11  "
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    "# Rename column to a more meaningful name
",
    "data.columns = ['Date','Estate','District','Contract','Price','Area','Average Unit Price (GFA)','Average Unit Price (SFA)','Floor','Year-Month']
",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      District
",
       "      Contract
",
       "      Price
",
       "      Area
",
       "      Average Unit Price (GFA)
",
       "      Average Unit Price (SFA)
",
       "      Floor
",
       "      Year-Month
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       "    
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       "  
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       "  
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       "    
",
       "      0
",
       "      2020-11-27
",
       "      Bel Air Heights
",
       "      Diamond Hill
",
       "      Agreement
",
       "      10000000
",
       "      826
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       "      12106.54
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       "      15220.70
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       "      2
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       "      2020-11
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       "    
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       "      1
",
       "      2020-11-27
",
       "      Fa Yuen Plaza
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       "      Mong Kok
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       "      Agreement
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",
       "      347
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       "      12334.29
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       "      20000.00
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       "      1
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       "      2020-11
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       "    
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       "    
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       "      2
",
       "      2020-11-27
",
       "      Caldecott Hill
",
       "      Yau Yat Tsuen
",
       "      Agreement
",
       "      11000000
",
       "      1282
",
       "      8580.34
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       "      11099.90
",
       "      7
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       "      2020-11
",
       "    
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       "    
",
       "      3
",
       "      2020-11-27
",
       "      Pang Ching Court
",
       "      Wong Tai Sin
",
       "      Agreement
",
       "      4900000
",
       "      583
",
       "      8404.80
",
       "      NaN
",
       "      1
",
       "      2020-11
",
       "    
",
       "    
",
       "      4
",
       "      2020-11-27
",
       "      Metro Harbour View
",
       "      Tai Kok Tsui
",
       "      Agreement
",
       "      7150000
",
       "      595
",
       "      12016.81
",
       "      17354.37
",
       "      1
",
       "      2020-11
",
       "    
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       "  
",
       "
",
       ""
      ],
      "text/plain": [
       "        Date              Estate       District   Contract     Price  Area  \
",
       "0 2020-11-27     Bel Air Heights   Diamond Hill  Agreement  10000000   826   
",
       "1 2020-11-27       Fa Yuen Plaza       Mong Kok  Agreement   4280000   347   
",
       "2 2020-11-27      Caldecott Hill  Yau Yat Tsuen  Agreement  11000000  1282   
",
       "3 2020-11-27    Pang Ching Court   Wong Tai Sin  Agreement   4900000   583   
",
       "4 2020-11-27  Metro Harbour View   Tai Kok Tsui  Agreement   7150000   595   
",
       "
",
       "   Average Unit Price (GFA)  Average Unit Price (SFA) Floor Year-Month  
",
       "0                  12106.54                  15220.70     2    2020-11  
",
       "1                  12334.29                  20000.00     1    2020-11  
",
       "2                   8580.34                  11099.90     7    2020-11  
",
       "3                   8404.80                       NaN     1    2020-11  
",
       "4                  12016.81                  17354.37     1    2020-11  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.replace(to_replace='None', value=np.nan, inplace=True)                            # Replace None with NaN in data
",
    "data['Area'].replace(to_replace=0, value=np.nan, inplace=True)                         # Replace 0 with NaN in Area column
",
    "data['Average Unit Price (GFA)'].replace(to_replace=0.00, value=np.nan, inplace=True)  # Replace 0.00 with NaN in GFA column
",
    "data['Average Unit Price (SFA)'].replace(to_replace=0.00, value=np.nan, inplace=True)  # Replace 0.00 with NaN in SFA column
",
    "data['Floor'] = data['Floor'].str.replace('#', '')                                     # Replace '#' with '' in Floor column
",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clean up the data (i.e. handle NA value)
",
    "data['Area'] = data['Area'].fillna(data['Area'].median())
",
    "data['Average Unit Price (GFA)'] = data['Average Unit Price (GFA)'].fillna(data['Average Unit Price (GFA)'].mean())
",
    "data['Average Unit Price (SFA)'] = data['Average Unit Price (SFA)'].fillna(data['Average Unit Price (SFA)'].mean())
",
    "data['Floor'] = data['Floor'].fillna(data['Floor'].median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "
",
      "RangeIndex: 80000 entries, 0 to 79999
",
      "Data columns (total 10 columns):
",
      " #   Column                    Non-Null Count  Dtype         
",
      "---  ------                    --------------  -----         
",
      " 0   Date                      80000 non-null  datetime64[ns]
",
      " 1   Estate                    80000 non-null  object        
",
      " 2   District                  80000 non-null  object        
",
      " 3   Contract                  80000 non-null  object        
",
      " 4   Price                     80000 non-null  int64         
",
      " 5   Area                      80000 non-null  object        
",
      " 6   Average Unit Price (GFA)  80000 non-null  float64       
",
      " 7   Average Unit Price (SFA)  80000 non-null  float64       
",
      " 8   Floor                     80000 non-null  object        
",
      " 9   Year-Month                80000 non-null  object        
",
      "dtypes: datetime64[ns](1), float64(2), int64(1), object(6)
",
      "memory usage: 6.1+ MB
"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert object to int64 datatype of Area and Floor column
",
    "data['Area'] = data['Area'].astype('int64')
",
    "data['Floor'] = data['Floor'].astype('int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                        datetime64[ns]
",
       "Estate                              object
",
       "District                            object
",
       "Contract                            object
",
       "Price                                int64
",
       "Area                                 int64
",
       "Average Unit Price (GFA)           float64
",
       "Average Unit Price (SFA)           float64
",
       "Floor                                int64
",
       "Year-Month                          object
",
       "dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make sure the transaction date's data type is numpy datetime
",
    "data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Aggregation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### dataframe with the monthly average unit price per District"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "
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       "
",
       "  
",
       "    
",
       "      
",
       "      
",
       "      Price
",
       "      Area
",
       "      Average Unit Price (GFA)
",
       "      Average Unit Price (SFA)
",
       "      Floor
",
       "    
",
       "    
",
       "      Year-Month
",
       "      District
",
       "      
",
       "      
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       "      
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       "      
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       "      
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       "    
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       "  
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       "  
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       "    
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       "      2014-10
",
       "      Cheung Sha Wan
",
       "      3.257014e+06
",
       "      545.666667
",
       "      9618.601678
",
       "      14766.928211
",
       "      2.944444
",
       "    
",
       "    
",
       "      Diamond Hill
",
       "      4.189600e+06
",
       "      557.400000
",
       "      7390.230000
",
       "      14115.419283
",
       "      3.000000
",
       "    
",
       "    
",
       "      Ho Man Tin
",
       "      1.798193e+07
",
       "      1043.800000
",
       "      11078.624429
",
       "      16348.810331
",
       "      3.000000
",
       "    
",
       "    
",
       "      Hung Hom
",
       "      7.317571e+06
",
       "      785.214286
",
       "      10034.784873
",
       "      14468.429641
",
       "      4.142857
",
       "    
",
       "    
",
       "      Jordan
",
       "      5.641109e+06
",
       "      608.875000
",
       "      10934.369666
",
       "      15235.081604
",
       "      1.750000
",
       "    
",
       "    
",
       "      ...
",
       "      ...
",
       "      ...
",
       "      ...
",
       "      ...
",
       "      ...
",
       "      ...
",
       "    
",
       "    
",
       "      2020-11
",
       "      Whampoa
",
       "      8.745366e+06
",
       "      658.487805
",
       "      13330.049268
",
       "      15716.970853
",
       "      3.219512
",
       "    
",
       "    
",
       "      Wong Tai Sin
",
       "      5.472278e+06
",
       "      470.888889
",
       "      10386.052376
",
       "      16202.277516
",
       "      2.416667
",
       "    
",
       "    
",
       "      Yau Ma Tei
",
       "      8.290000e+06
",
       "      437.833333
",
       "      12678.524629
",
       "      16416.082437
",
       "      3.375000
",
       "    
",
       "    
",
       "      Yau Tong
",
       "      6.844714e+06
",
       "      171.714286
",
       "      11235.636507
",
       "      16134.384079
",
       "      2.285714
",
       "    
",
       "    
",
       "      Yau Yat Tsuen
",
       "      1.095429e+07
",
       "      770.571429
",
       "      11714.535587
",
       "      15018.784591
",
       "      4.571429
",
       "    
",
       "  
",
       "
",
       "2304 rows × 5 columns
",
       ""
      ],
      "text/plain": [
       "                                  Price         Area  \
",
       "Year-Month District                                    
",
       "2014-10    Cheung Sha Wan  3.257014e+06   545.666667   
",
       "           Diamond Hill    4.189600e+06   557.400000   
",
       "           Ho Man Tin      1.798193e+07  1043.800000   
",
       "           Hung Hom        7.317571e+06   785.214286   
",
       "           Jordan          5.641109e+06   608.875000   
",
       "...                                 ...          ...   
",
       "2020-11    Whampoa         8.745366e+06   658.487805   
",
       "           Wong Tai Sin    5.472278e+06   470.888889   
",
       "           Yau Ma Tei      8.290000e+06   437.833333   
",
       "           Yau Tong        6.844714e+06   171.714286   
",
       "           Yau Yat Tsuen   1.095429e+07   770.571429   
",
       "
",
       "                           Average Unit Price (GFA)  Average Unit Price (SFA)  \
",
       "Year-Month District                                                             
",
       "2014-10    Cheung Sha Wan               9618.601678              14766.928211   
",
       "           Diamond Hill                 7390.230000              14115.419283   
",
       "           Ho Man Tin                  11078.624429              16348.810331   
",
       "           Hung Hom                    10034.784873              14468.429641   
",
       "           Jordan                      10934.369666              15235.081604   
",
       "...                                             ...                       ...   
",
       "2020-11    Whampoa                     13330.049268              15716.970853   
",
       "           Wong Tai Sin                10386.052376              16202.277516   
",
       "           Yau Ma Tei                  12678.524629              16416.082437   
",
       "           Yau Tong                    11235.636507              16134.384079   
",
       "           Yau Yat Tsuen               11714.535587              15018.784591   
",
       "
",
       "                              Floor  
",
       "Year-Month District                  
",
       "2014-10    Cheung Sha Wan  2.944444  
",
       "           Diamond Hill    3.000000  
",
       "           Ho Man Tin      3.000000  
",
       "           Hung Hom        4.142857  
",
       "           Jordan          1.750000  
",
       "...                             ...  
",
       "2020-11    Whampoa         3.219512  
",
       "           Wong Tai Sin    2.416667  
",
       "           Yau Ma Tei      3.375000  
",
       "           Yau Tong        2.285714  
",
       "           Yau Yat Tsuen   4.571429  
",
       "
",
       "[2304 rows x 5 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = data.drop(['Estate','Contract'],axis=1)
",
    "df1 = df1.set_index('Date')
",
    "df1.groupby(['Year-Month','District']).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### dataframe with the monthly average unit price per Estate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "
",
       "
",
       "  
",
       "    
",
       "      
",
       "      
",
       "      Price
",
       "      Area
",
       "      Average Unit Price (GFA)
",
       "      Average Unit Price (SFA)
",
       "      Floor
",
       "    
",
       "    
",
       "      Year-Month
",
       "      Estate
",
       "      
",
       "      
",
       "      
",
       "      
",
       "      
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       "    
",
       "  
",
       "  
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       "    
",
       "      2014-10
",
       "      192-194 Yu Chau Street
",
       "      3.150000e+06
",
       "      558.000000
",
       "      10784.799109
",
       "      16146.472138
",
       "      4.000000
",
       "    
",
       "    
",
       "      8 LaSalle
",
       "      2.229490e+07
",
       "      558.000000
",
       "      10784.799109
",
       "      21857.750000
",
       "      6.000000
",
       "    
",
       "    
",
       "      Amoy Gardens
",
       "      4.153333e+06
",
       "      490.333333
",
       "      8467.393333
",
       "      12994.584046
",
       "      1.333333
",
       "    
",
       "    
",
       "      Anson House
",
       "      5.000000e+06
",
       "      558.000000
",
       "      10784.799109
",
       "      16146.472138
",
       "      5.000000
",
       "    
",
       "    
",
       "      AquaMarine
",
       "      6.375000e+06
",
       "      672.000000
",
       "      9495.000000
",
       "      12712.820000
",
       "      5.500000
",
       "    
",
       "    
",
       "      ...
",
       "      ...
",
       "      ...
",
       "      ...
",
       "      ...
",
       "      ...
",
       "      ...
",
       "    
",
       "    
",
       "      2020-11
",
       "      Yue Wah Building
",
       "      4.090000e+06
",
       "      0.000000
",
       "      10784.799109
",
       "      16146.472138
",
       "      7.000000
",
       "    
",
       "    
",
       "      Yuen Cheong Court
",
       "      5.000000e+06
",
       "      0.000000
",
       "      10784.799109
",
       "      16146.472138
",
       "      1.000000
",
       "    
",
       "    
",
       "      Yuet Ming Building
",
       "      5.400000e+06
",
       "      0.000000
",
       "      10784.799109
",
       "      16146.472138
",
       "      3.000000
",
       "    
",
       "    
",
       "      Yun Fat Building
",
       "      5.520000e+06
",
       "      506.000000
",
       "      10909.090000
",
       "      16146.472138
",
       "      2.000000
",
       "    
",
       "    
",
       "      i-home
",
       "      6.554400e+06
",
       "      514.000000
",
       "      12746.630000
",
       "      16970.945000
",
       "      2.000000
",
       "    
",
       "  
",
       "
",
       "32235 rows × 5 columns
",
       ""
      ],
      "text/plain": [
       "                                          Price        Area  \
",
       "Year-Month Estate                                             
",
       "2014-10    192-194 Yu Chau Street  3.150000e+06  558.000000   
",
       "           8 LaSalle               2.229490e+07  558.000000   
",
       "           Amoy Gardens            4.153333e+06  490.333333   
",
       "           Anson House             5.000000e+06  558.000000   
",
       "           AquaMarine              6.375000e+06  672.000000   
",
       "...                                         ...         ...   
",
       "2020-11    Yue Wah Building        4.090000e+06    0.000000   
",
       "           Yuen Cheong Court       5.000000e+06    0.000000   
",
       "           Yuet Ming Building      5.400000e+06    0.000000   
",
       "           Yun Fat Building        5.520000e+06  506.000000   
",
       "           i-home                  6.554400e+06  514.000000   
",
       "
",
       "                                   Average Unit Price (GFA)  \
",
       "Year-Month Estate                                             
",
       "2014-10    192-194 Yu Chau Street              10784.799109   
",
       "           8 LaSalle                           10784.799109   
",
       "           Amoy Gardens                         8467.393333   
",
       "           Anson House                         10784.799109   
",
       "           AquaMarine                           9495.000000   
",
       "...                                                     ...   
",
       "2020-11    Yue Wah Building                    10784.799109   
",
       "           Yuen Cheong Court                   10784.799109   
",
       "           Yuet Ming Building                  10784.799109   
",
       "           Yun Fat Building                    10909.090000   
",
       "           i-home                              12746.630000   
",
       "
",
       "                                   Average Unit Price (SFA)     Floor  
",
       "Year-Month Estate                                                      
",
       "2014-10    192-194 Yu Chau Street              16146.472138  4.000000  
",
       "           8 LaSalle                           21857.750000  6.000000  
",
       "           Amoy Gardens                        12994.584046  1.333333  
",
       "           Anson House                         16146.472138  5.000000  
",
       "           AquaMarine                          12712.820000  5.500000  
",
       "...                                                     ...       ...  
",
       "2020-11    Yue Wah Building                    16146.472138  7.000000  
",
       "           Yuen Cheong Court                   16146.472138  1.000000  
",
       "           Yuet Ming Building                  16146.472138  3.000000  
",
       "           Yun Fat Building                    16146.472138  2.000000  
",
       "           i-home                              16970.945000  2.000000  
",
       "
",
       "[32235 rows x 5 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = data.drop(['District','Contract'],axis=1)
",
    "df2 = df2.set_index('Date')
",
    "df2.groupby(['Year-Month','Estate']).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Select 5 districts and visualize the trend of their property price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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    {
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    {
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Assignment 4 1 Assignment 4 Instruction You are being given a file hw.csv which contain the Property Transaction price of Kowloon between Nov 2014 to Nov 2020. The data was extracted from the...

Answer To: Assignment 4 1 Assignment 4 Instruction You are being given a file hw.csv which contain the Property...

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	date	withpre	id	rootid	fatherid	catid	catname	catfathername	url_father	url_cat	...	month	day	date_dm	date_y	block	state	floor	room	addr	Unnamed: 34
0	2020-11-27	1.0	683333	2	79	2058	Bel Air Heights	Diamond Hill	https://data.28hse.com/en/kl/diamond-hill	https://data.28hse.com/en/kl/diamond-hill/2058...	...	Nov	27	27/11	2020	BLOCK 2	None	2#	E	BLOCK 2 2#/F Room E	NaN
1	2020-11-27	1.0	683332	2	71	2712	Fa Yuen Plaza	Mong Kok	https://data.28hse.com/en/kl/mong-kok	https://data.28hse.com/en/kl/mong-kok/2712_fa-...	...	Nov	27	27/11	2020	None	None	1#	C	1#/F Room C	NaN
2	2020-11-27	1.0	683331	2	78	3094	Caldecott Hill	Yau Yat Tsuen	https://data.28hse.com/en/kl/yau-yat-tsuen	https://data.28hse.com/en/kl/yau-yat-tsuen/309...	...	Nov	27	27/11	2020	TOWER 1	None	7	E	TOWER 1 7/F Room E	NaN
3	2020-11-27	NaN	683330	2	57	5035	Pang Ching Court	Wong Tai Sin	https://data.28hse.com/en/kl/wong-tai-sin	https://data.28hse.com/en/kl/wong-tai-sin/5035...	...	Nov	27	27/11	2020	None	None	1#	22	1#/F Room 22	NaN
4	2020-11-27	1.0	683329	2	67	2564	Metro Harbour View	Tai Kok Tsui	https://data.28hse.com/en/kl/tai-kok-tsui	https://data.28hse.com/en/kl/tai-kok-tsui/2564...	...	Nov	27	27/11	2020	BLOCK 8	None	1#	B	BLOCK 8 1#/F Room B	NaN

		Price	Area	Average Unit Price (GFA)	Average Unit Price (SFA)	Floor
Year-Month	District
2014-10	Cheung Sha Wan	3.257014e+06	545.666667	9618.601678	14766.928211	2.944444
Diamond Hill	4.189600e+06	557.400000	7390.230000	14115.419283	3.000000
Ho Man Tin	1.798193e+07	1043.800000	11078.624429	16348.810331	3.000000
Hung Hom	7.317571e+06	785.214286	10034.784873	14468.429641	4.142857
Jordan	5.641109e+06	608.875000	10934.369666	15235.081604	1.750000
...	...	...	...	...	...	...
2020-11	Whampoa	8.745366e+06	658.487805	13330.049268	15716.970853	3.219512
Wong Tai Sin	5.472278e+06	470.888889	10386.052376	16202.277516	2.416667
Yau Ma Tei	8.290000e+06	437.833333	12678.524629	16416.082437	3.375000
Yau Tong	6.844714e+06	171.714286	11235.636507	16134.384079	2.285714
Yau Yat Tsuen	1.095429e+07	770.571429	11714.535587	15018.784591	4.571429

		Price	Area	Average Unit Price (GFA)	Average Unit Price (SFA)	Floor
Year-Month	Estate
2014-10	192-194 Yu Chau Street	3.150000e+06	558.000000	10784.799109	16146.472138	4.000000
8 LaSalle	2.229490e+07	558.000000	10784.799109	21857.750000	6.000000
Amoy Gardens	4.153333e+06	490.333333	8467.393333	12994.584046	1.333333
Anson House	5.000000e+06	558.000000	10784.799109	16146.472138	5.000000
AquaMarine	6.375000e+06	672.000000	9495.000000	12712.820000	5.500000
...	...	...	...	...	...	...
2020-11	Yue Wah Building	4.090000e+06	0.000000	10784.799109	16146.472138	7.000000
Yuen Cheong Court	5.000000e+06	0.000000	10784.799109	16146.472138	1.000000
Yuet Ming Building	5.400000e+06	0.000000	10784.799109	16146.472138	3.000000
Yun Fat Building	5.520000e+06	506.000000	10909.090000	16146.472138	2.000000
i-home	6.554400e+06	514.000000	12746.630000	16970.945000	2.000000