From 00b53d2ef45db9e77fc99cfdfcdb79e7dc622914 Mon Sep 17 00:00:00 2001
From: Lavi1920 <lavitha1920@gmail.com>
Date: Wed, 10 Oct 2018 03:49:22 +0000
Subject: [PATCH 1/4] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 168 -> 155 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 193 -> 180 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 630 -> 604 bytes
 q01_calculate_statistics/build.py             |  17 ++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 199 -> 186 bytes
 .../__pycache__/test_q01_plot.cpython-36.pyc  | Bin 2949 -> 2936 bytes
 6 files changed, 16 insertions(+), 1 deletion(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index cd8686b0f9f17c173480b2b430af88fa1427ca13..c589c20ba8ea8700ebbd04516b82d25ee5c27590 100644
GIT binary patch
delta 50
zcmZ3%IGd5fn3tEUY1M}4i5%u~9{L&ixvBa-iDj9FmPQ8p;rT_`#RZAUsrt$JDX9~)
F>;Qwd5K;gD

delta 63
zcmbQuxPp<xn3tDp*}dkdi5%wIq52v5xvBbzNg0{?F8Rr&xv6<2#ro+*sg;Q(`MLUu
SIXMaiMfq8&$tA@TW9<N=4Hkz0

diff --git a/q01_calculate_statistics/__pycache__/__init__.cpython-36.pyc b/q01_calculate_statistics/__pycache__/__init__.cpython-36.pyc
index 7f99883c1d9debd8b77bd7ef3726fb2472273668..e2e17bcbcd7a09ccfe1162d7403dbaa5dc22775f 100644
GIT binary patch
delta 50
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delta 63
zcmdnOc#x69n3tDp*}dkdi5%wIdHNaoxvBbzNg0{?F8Rr&xv6<2#ro+*sg;Q(`MLUu
SIXMaiMfq8&$tA@TW5WTnz!vKO

diff --git a/q01_calculate_statistics/__pycache__/build.cpython-36.pyc b/q01_calculate_statistics/__pycache__/build.cpython-36.pyc
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GIT binary patch
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diff --git a/q01_calculate_statistics/build.py b/q01_calculate_statistics/build.py
index a556241..aa092bf 100644
--- a/q01_calculate_statistics/build.py
+++ b/q01_calculate_statistics/build.py
@@ -1,11 +1,26 @@
+# %load q01_calculate_statistics/build.py
 # Default Imports
 import numpy as np
 import pandas as pd
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
-sale_price = data.loc[:, "SalePrice"]
+sp = data.loc[:, 'SalePrice'] #sale price
 
 
 # Return mean,median & mode for the SalePrice Column
 # Write your code here
+def calculate_statistics():
+    mean=np.mean(data.SalePrice)
+    med=np.median(data.SalePrice)
+    mod1 = np.asarray(data.SalePrice.mode(), dtype=np.int64)
+    mod = np.int_(mod1.item())
+    return mean,med,mod
+
+
+calculate_statistics()
+
+
+
+
+
 
diff --git a/q01_calculate_statistics/tests/__pycache__/__init__.cpython-36.pyc b/q01_calculate_statistics/tests/__pycache__/__init__.cpython-36.pyc
index b1b01d55acae938b089c65022c1e5efe684e3182..c867380bb5807759266856b5c96317e39b750513 100644
GIT binary patch
delta 50
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delta 63
zcmdnRc$|^Ln3tF9Mq+E!L=JQ968(()+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWivv9SQC)fTz{

diff --git a/q01_calculate_statistics/tests/__pycache__/test_q01_plot.cpython-36.pyc b/q01_calculate_statistics/tests/__pycache__/test_q01_plot.cpython-36.pyc
index b15e8f5a2811026190ae68242820f0f54cca9426..7e5e26d1d2cdeba665b1cc664299bde74e618dae 100644
GIT binary patch
delta 53
zcmZn_{~^X<%*)F)Z`FqAjT}cA<#O~h@^e%5eG<zu4K0lf^uzOuvWp86lT-DR^HWkc
J|6uIp1OVhC60ZON

delta 66
zcmew%)+)|n%*)GlBe6AVBgauj?MnTO{M=Oi#H5T&eV6>?(%jU%l4AYzqSVU7lKfo#
V#GD+3f};Ga)Z~)l&951IIROk?7=Hi&


From 90c6a52e0c11c55f2be2dad4975808bca58b9d6e Mon Sep 17 00:00:00 2001
From: Lavi1920 <lavitha1920@gmail.com>
Date: Wed, 10 Oct 2018 04:43:57 +0000
Subject: [PATCH 2/4] Done

---
 q02_plot/__pycache__/__init__.cpython-36.pyc  | Bin 177 -> 164 bytes
 q02_plot/__pycache__/build.cpython-36.pyc     | Bin 775 -> 873 bytes
 q02_plot/build.py                             |  20 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 183 -> 170 bytes
 .../__pycache__/test_q02_plot.cpython-36.pyc  | Bin 969 -> 956 bytes
 5 files changed, 19 insertions(+), 1 deletion(-)

diff --git a/q02_plot/__pycache__/__init__.cpython-36.pyc b/q02_plot/__pycache__/__init__.cpython-36.pyc
index 215eac083bf88e6537e6d7d6a5471a2c374ca81c..65bee38890a7b5726adb83e61d5059b054426ce6 100644
GIT binary patch
delta 50
zcmdnUxP+0zn3tEUY1M}4i5%u~f%+NwxvBa-iDj9FmPQ8p;rT_`#RZAUsrt$JDX9~)
F+yRJM5Ox3n

delta 63
zcmZ3&xRH^=n3tDp*}dkdi5%wIarzngxvBbzNg0{?F8Rr&xv6<2#ro+*sg;Q(`MLUu
SIXMaiMfq8&$tA@TW8DF%5EiQd

diff --git a/q02_plot/__pycache__/build.cpython-36.pyc b/q02_plot/__pycache__/build.cpython-36.pyc
index bed076d1cc99b8e94b503c07bb460492f8d4c6bc..2c727e5e682775a4086abffd5eb694fc536f2f71 100644
GIT binary patch
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z7(aW2Q9k8KE7quhonXix*20H=qnEfhcvv4+I}Y`;zo0_HeJE~zb@IIY-_w{6Xa@Co
yYC))ScnjgZTv|~>ADKql6mJ+%4XPZN85a8V3?=IfybS+f;F8jePFY5eN527_GSx8v

diff --git a/q02_plot/build.py b/q02_plot/build.py
index 70276d6..642fb40 100644
--- a/q02_plot/build.py
+++ b/q02_plot/build.py
@@ -1,3 +1,4 @@
+# %load q02_plot/build.py
 # Default Imports
 import pandas as pd
 import matplotlib.pyplot as plt
@@ -7,6 +8,23 @@
 dataframe = pd.read_csv('data/house_prices_multivariate.csv')
 sale_price = dataframe.loc[:, 'SalePrice']
 
-
 # Draw the plot for the mean, median and mode for the dataset
+def plot():
+    plt.hist(sale_price)
+    #plotting the mean, median and mode
+    plt.axvline(x = np.mean(sale_price),c='#00FF00',label='mean')
+    plt.axvline(x = np.median(sale_price),c='#FFA500',label='median')
+    plt.axvline(x = np.array(sale_price.mode()).item(),c='#EE82EE',label='mode')
+
+    #defining x and y label
+    plt.xlabel('SalePrice')
+    plt.ylabel('Frequency')
+
+    plt.legend()
+    
+plt.show()
+
+
+
+
 
diff --git a/q02_plot/tests/__pycache__/__init__.cpython-36.pyc b/q02_plot/tests/__pycache__/__init__.cpython-36.pyc
index 488a8902e9cb8aed0f38d008a72db519050c874f..fd4dae3b32e6e671d7e7ba352cf29d99a7892c1b 100644
GIT binary patch
delta 50
zcmdnaxQda(n3tEUY1M}4i5%u~;rbc*xvBa-iDj9FmPQ8p;rT_`#RZAUsrt$JDX9~)
Fd;yDc5RL!<

delta 63
zcmZ3*xSf&1n3tF9Mq+E!L=JQ96#b0++*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWivvAzJFB^G)B

diff --git a/q02_plot/tests/__pycache__/test_q02_plot.cpython-36.pyc b/q02_plot/tests/__pycache__/test_q02_plot.cpython-36.pyc
index 56f4330f0a2304690672d2b540cbae5575db6a81..97645bd3225b446f42b58b17c5e17d630455a134 100644
GIT binary patch
delta 53
zcmX@fzK5N|n3tEUY1M}4jT|+MaxwZD`MIh3K8a<ShL%PK`r-LS*~JBk$*KCu`6;QJ
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delta 66
zcmdnPev+NTn3tDpkM!KAjT|+M+L`(p`MIh3iAfom`Y!p&rManjCB^#bMX8mECHcAf
Wi8(n61x5K;smUe9n-?)kF#!PL6&C^k


From c296105f9056de606034641d12b5cc328c6d1431 Mon Sep 17 00:00:00 2001
From: Lavi1920 <lavitha1920@gmail.com>
Date: Wed, 10 Oct 2018 05:03:07 +0000
Subject: [PATCH 3/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 192 -> 179 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 494 -> 534 bytes
 q03_pearson_correlation/build.py              |  15 +++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 198 -> 185 bytes
 .../test_q03_correlation.cpython-36.pyc       | Bin 1680 -> 1667 bytes
 5 files changed, 15 insertions(+)

diff --git a/q03_pearson_correlation/__pycache__/__init__.cpython-36.pyc b/q03_pearson_correlation/__pycache__/__init__.cpython-36.pyc
index 543c178c4df3a2d7e5b64ffe37ce6264e5b948ea..11176f74fad776dcb51f29ff24d0939d55fc27f6 100644
GIT binary patch
delta 50
zcmX@WxS5f|n3tEUY1M}4i5%u~3HllNxvBa-iDj9FmPQ8p;rT_`#RZAUsrt$JDX9~)
F!T^vK5V8OO

delta 63
zcmdnYcz}_^n3tDp*}dkdi5%wIx%wITxvBbzNg0{?F8Rr&xv6<2#ro+*sg;Q(`MLUu
SIXMaiMfq8&$tA@TW5WQm6&B|J

diff --git a/q03_pearson_correlation/__pycache__/build.cpython-36.pyc b/q03_pearson_correlation/__pycache__/build.cpython-36.pyc
index ba8cf119e61bb596104a35e0bb902136188759a1..aaa61aaab7c94e94ef03228822aaff04b5669aa1 100644
GIT binary patch
delta 349
zcmYk1u}T9$5Qb-V_mcHAl@|I0a#);+AX*55ou~*wlobif?gn!vxnu7P2#Q4nYYF%c
z_O?ENuaMTt#s|>G*;E;rZ+?cEpP3*2DlWDfjri~R<MI;$zF;mG>3zy_n_$6W9~90i
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delta 287
zcmYk1y-LJD6ov1dnazeQi(n^MY-zLzXlWy8wV=%+$TZ8CI~qeK6J|!iT3d@{!OjQR
zH<GmWK7fr*w(`RHIK{bt@8X-!Po~qX+y9UT0lwg0vFOjD{6Pc(VFMC1){NK-O1^bG
zIzfU)uOLUOo9ojU1rc=~<#!_j)UhS-8VQNLu?6J(N{&0NoVRU`ePVQ|EahVLyEhl5
zb*`U~3hK@&qnF1Ua7i4q#ZO&S*62drRu9F6Egy|;gD>u#epbPnLN(2-bGFuH@aqL$
s9!`cUhCcvZ8kr|D=~PR~_pBqCI<06~`X|TNpLn!0B>k{0Wf^A4A6aiiJpcdz

diff --git a/q03_pearson_correlation/build.py b/q03_pearson_correlation/build.py
index 33a762b..bfa2351 100644
--- a/q03_pearson_correlation/build.py
+++ b/q03_pearson_correlation/build.py
@@ -1,5 +1,7 @@
+# %load q03_pearson_correlation/build.py
 # Default Imports
 import pandas as pd
+import numpy as np
 
 dataframe_1 = pd.read_csv('data/house_prices_multivariate.csv')
 dataframe_2 = pd.read_csv('data/house_prices_copy.csv')
@@ -7,3 +9,16 @@
 
 # Return the correlation value between the SalePrice column for the two loaded datasets
 # Your code here
+def correlation():
+    corrc=np.corrcoef(dataframe_1.SalePrice,dataframe_2.SalePrice)[0,1]
+    return corrc
+
+correlation()
+
+
+
+
+
+
+
+
diff --git a/q03_pearson_correlation/tests/__pycache__/__init__.cpython-36.pyc b/q03_pearson_correlation/tests/__pycache__/__init__.cpython-36.pyc
index d7eca9980cd94014cb671238783d84df5e9fb7da..2748494713e34828ea9dda3824a475bc9e746529 100644
GIT binary patch
delta 50
zcmX@cxRa5?n3tEUY1M}4i5%u~Y5E!YxvBa-iDj9FmPQ8p;rT_`#RZAUsrt$JDX9~)
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delta 63
zcmdnVc#M(5n3tF9Mq+E!L=JQ9V*QN#+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
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diff --git a/q03_pearson_correlation/tests/__pycache__/test_q03_correlation.cpython-36.pyc b/q03_pearson_correlation/tests/__pycache__/test_q03_correlation.cpython-36.pyc
index ed900c414bfa06c982ec1c9e9961fef6d1588d18..b18fd2f82bf516233f6ea79e71b0c3eb52d4d88f 100644
GIT binary patch
delta 53
zcmbQh+sw;h%*)Hwv}!~2MvhsGaz*+X`MIh3K8a<ShL%PK`r-LS*~JBk$*KCu`6;QJ
J&oUln0RX_P5%&N9

delta 66
zcmZqXoxsas%*)GlBe6AVBgZU8?Rx!;{M=Oi#H5T&eV6>?(%jU%l4AYzqSVU7lKfo#
W#GD+3f};Ga)Z~)l%?B6{vj70(Z5QJJ


From 45177c389fbb83a9f6657ba7fbd0d247179f9346 Mon Sep 17 00:00:00 2001
From: Lavi1920 <lavitha1920@gmail.com>
Date: Wed, 10 Oct 2018 05:09:03 +0000
Subject: [PATCH 4/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 193 -> 180 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 505 -> 563 bytes
 q04_spearman_correlation/build.py             |  11 +++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 199 -> 186 bytes
 ...st_q04_spearman_correlation.cpython-36.pyc | Bin 1717 -> 1704 bytes
 5 files changed, 11 insertions(+)

diff --git a/q04_spearman_correlation/__pycache__/__init__.cpython-36.pyc b/q04_spearman_correlation/__pycache__/__init__.cpython-36.pyc
index 78682675323d8e4b951373280266bfae3fe10d8b..d3b8096e4f74af23fef52f058923e17aad84e8e9 100644
GIT binary patch
delta 50
zcmX@exP_6!n3tEUY1M}4i5%u~iTWA&xvBa-iDj9FmPQ8p;rT_`#RZAUsrt$JDX9~)
F!U2$)5VimS

delta 63
zcmdnOc#x69n3tDp*}dkdi5%wIdHNaoxvBbzNg0{?F8Rr&xv6<2#ro+*sg;Q(`MLUu
SIXMaiMfq8&$tA@TW5WTnz!vKO

diff --git a/q04_spearman_correlation/__pycache__/build.cpython-36.pyc b/q04_spearman_correlation/__pycache__/build.cpython-36.pyc
index 94f735a46faa9e694e8a6b3b49b480cf37144bf0..b1e0c1d66828ddc9e6b4bc4893b4c6f4349b9e8b 100644
GIT binary patch
delta 370
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delta 310
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C!%C9?

diff --git a/q04_spearman_correlation/build.py b/q04_spearman_correlation/build.py
index 557be32..09f2e01 100644
--- a/q04_spearman_correlation/build.py
+++ b/q04_spearman_correlation/build.py
@@ -1,8 +1,19 @@
+# %load q04_spearman_correlation/build.py
 # Default Import
 import pandas as pd
+import numpy as np
+from scipy.stats import spearmanr
 
 dataframe_1 = pd.read_csv('data/house_prices_multivariate.csv')
 dataframe_2 = pd.read_csv('data/house_prices_copy.csv')
 
 # Your code here
+def spearman_correlation():
+    corr, p_value = spearmanr(dataframe_1.SalePrice, dataframe_2.SalePrice)
+    return corr
+
+
+spearman_correlation()
+
+
 
diff --git a/q04_spearman_correlation/tests/__pycache__/__init__.cpython-36.pyc b/q04_spearman_correlation/tests/__pycache__/__init__.cpython-36.pyc
index 495646a3bc5e900ad0593288f8e14eb5f8ed301b..71bfb203741d3afb178e2366fb479e05ecdece41 100644
GIT binary patch
delta 50
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delta 63
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diff --git a/q04_spearman_correlation/tests/__pycache__/test_q04_spearman_correlation.cpython-36.pyc b/q04_spearman_correlation/tests/__pycache__/test_q04_spearman_correlation.cpython-36.pyc
index d0826524e350b3290a6a07c540a02a6c3e6716bf..3622a094bb54742bae3ace878c4e5308669fa30e 100644
GIT binary patch
delta 53
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JUt_$_0szv)5_tds

delta 66
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