From f9c9d36bf3e6d4996468da53c11e11bddcb65ad5 Mon Sep 17 00:00:00 2001
From: akshaylakade <Aakshaylakade@gmail.com>
Date: Fri, 16 Nov 2018 08:21:39 +0000
Subject: [PATCH 1/4] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 168 -> 159 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 193 -> 184 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 630 -> 574 bytes
 q01_calculate_statistics/build.py             |  19 ++++++++++++++++--
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 199 -> 190 bytes
 .../__pycache__/test_q01_plot.cpython-36.pyc  | Bin 2949 -> 2940 bytes
 6 files changed, 17 insertions(+), 2 deletions(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index cd8686b0f9f17c173480b2b430af88fa1427ca13..90f6597be5d7e5f9042649cfbf5c5fda445bc176 100644
GIT binary patch
delta 54
zcmZ3%IG>Tjn3tEUuHs$vL=JN$AN`E{+*JL<?Ba~X%ACaP#FSM1@cg3e;)2BFRQ=@q
Jl+=k?b^zrn67c{4

delta 63
zcmbQwxPp<xn3tDp*}dkdi5%wIq52v5xvBbzNg0{?F8Rr&xv6<2#ro+*sg;Q(`MLUu
SIXMaiMfq8&$tA@T6YT(`5f+aC

diff --git a/q01_calculate_statistics/__pycache__/__init__.cpython-36.pyc b/q01_calculate_statistics/__pycache__/__init__.cpython-36.pyc
index 7f99883c1d9debd8b77bd7ef3726fb2472273668..61fdcf43998707db7770765e096fa857275d1fc0 100644
GIT binary patch
delta 54
zcmX@exPy_yn3tEUuHs$vL=JPMRQ-(n+*JL<?Ba~X%ACaP#FSM1@cg3e;)2BFRQ=@q
Jl+=k?;Q;eG6IB2J

delta 63
zcmdnNc#x69n3tDp*}dkdi5%wIdHNaoxvBbzNg0{?F8Rr&xv6<2#ro+*sg;Q(`MLUu
SIXMaiMfq8&$tA@T6T<<t#1``a

diff --git a/q01_calculate_statistics/__pycache__/build.cpython-36.pyc b/q01_calculate_statistics/__pycache__/build.cpython-36.pyc
index 58a2a31fb42e0e24a3953e95448b0ffc0fa71daf..88b1ccbc46fca30417f61e6e5e46947e254d61bf 100644
GIT binary patch
delta 393
zcmYjNJx{|h5WTbW)u1vU2D(s*Ei4&WQPr8D3qvI{AQQXlN76)gid599L*WNh`~g-Z
zCVl`vBr6jOBLf5ClBquVy&K-Wd-jj>;cPD2?eKm5eRIkHK4I^0>icx<6@dbUDF|$s
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zB|=-ua$?I#Vk@*FFj}hH#NJm<{eX(6d14$IYJ8d~dr&W`f=dd%NOg~bAA_wE1W3g~
JJn{nH<NsG#R;vI2

delta 408
zcmY+A%}T>S5XW~mX_`ihC>|^x%r&Pdy@-f-(6dMdVJ~IPPHkeo*d#)w;z50Y(yK4v
zOY}i<^&;L?@Z_|oc47ZB^XE6SA2ajE6y0{)x%hk&zrffBTUrL?r?iVh62%n6Ou!;?
zVW1J2ia&#BU?Z{=D0t<{81N1gO=YUa3lsJvzJ&eBZ0E>~h$)GF<YP95F^`%GI&5I{
zn8zQs&(jjMJIX5U2AM*4h#EEBhI#hnd+&+oN?1MAAr`fn5Kvq9GOn=j46#wj82h;n
z1MDX#Q?a>XsF17`hT7kmZqe|+JAarZ=*yd7=$~alm0(&H{;kH5EVIOyaqQ+gi%bm4
zVtNJF2krT1*d)wwz=3tH*C_W|btA2ke55&5!pdc;WT7o8reCnzoimFAm&75jwvXvC
RRg5R|zQtS{Z0^8T^B)5`XaxWO

diff --git a/q01_calculate_statistics/build.py b/q01_calculate_statistics/build.py
index a556241..bf5d894 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
+import statistics as s
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
-sale_price = data.loc[:, "SalePrice"]
-
+sale_price = data.loc[:, 'SalePrice']
+# sale_price = np.array(sale_price)
 
 # Return mean,median & mode for the SalePrice Column
 # Write your code here
 
+def calculate_statistics():
+    mean = np.mean(sale_price)
+    median = np.median(sale_price)
+    mode = sale_price.mode()
+    
+    return mean, median, mode[0]
+
+calculate_statistics()
+
+
+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..a9791ce6a8fa9fbe0bb801f7cf203bb86b868a61 100644
GIT binary patch
delta 54
zcmX@kxQ~&;n3tEUz2aT;L=JPMZ2gS<+*JL<?Ba~X%ACaP#FSM1@cg3e;)2BFRQ=@q
Jl+=k?u>kll6LtUq

delta 63
zcmdnTc$|^Ln3tF9Mq+E!L=JQ968(()+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiviLn5w*%rb8

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..fc8744b22c415ecabe792e4c20ac65d50f1de4b7 100644
GIT binary patch
delta 57
zcmZn_|0Bj>%*)HwUhyt^Bgaujr2_qo{M=Oi#O&gX#LAq+?8KB*{qX#v?BasN<W&9S
M{FKzqKNx#C0ZgzJI{*Lx

delta 66
zcmew()+)|n%*)GlBe6AVBgauj?MnTO{M=Oi#H5T&eV6>?(%jU%l4AYzqSVU7lKfo#
V#GD+3f};Ga)Z~)l&F>j|IROoG7>57=


From ce16cbb01b7d50d3ca967fcaf6ec8ea5b3525da2 Mon Sep 17 00:00:00 2001
From: akshaylakade <Aakshaylakade@gmail.com>
Date: Fri, 16 Nov 2018 10:03:43 +0000
Subject: [PATCH 2/4] Done

---
 q02_plot/__pycache__/__init__.cpython-36.pyc  | Bin 177 -> 168 bytes
 q02_plot/__pycache__/build.cpython-36.pyc     | Bin 775 -> 826 bytes
 q02_plot/build.py                             |  19 ++++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 183 -> 174 bytes
 .../__pycache__/test_q02_plot.cpython-36.pyc  | Bin 969 -> 960 bytes
 5 files changed, 19 insertions(+)

diff --git a/q02_plot/__pycache__/__init__.cpython-36.pyc b/q02_plot/__pycache__/__init__.cpython-36.pyc
index 215eac083bf88e6537e6d7d6a5471a2c374ca81c..a275a5eff8efc312fdc3572660748a1a8152fd32 100644
GIT binary patch
delta 54
zcmdnUxPp<xn3tEUuHs$vL=JPMQ2mVj+*JL<?Ba~X%ACaP#FSM1@cg3e;)2BFRQ=@q
Jl+=k??f~jK6BPge

delta 63
zcmZ3%xRH^=n3tDp*}dkdi5%wIarzngxvBbzNg0{?F8Rr&xv6<2#ro+*sg;Q(`MLUu
SIXMaiMfq8&$tA@T6Wsx-6c)1p

diff --git a/q02_plot/__pycache__/build.cpython-36.pyc b/q02_plot/__pycache__/build.cpython-36.pyc
index bed076d1cc99b8e94b503c07bb460492f8d4c6bc..1b1ba562229690b86422209344a1ce89874ae993 100644
GIT binary patch
literal 826
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zvNw&{*cOD!1VYNBvceQCR`9Uc2%{;LaM|_gv)n(MExSU?MY}aACO*bxPf!q=;!Idd
zXTwZrLI;oeF^^lQCD@*|l0U4#`82v%Vvd1Fyx+|jv+%Q(QCo0L<sJToWEa<`PxJrv
z#9}~YuxkmA>aId~vDatzws2ydFF|a4l@g;s=0k7z{<$(xsXow+FbTR3fQNz|h$$NS
a<P5*9)9Qu)3i|*>f^?4t!YO?eCDT8w$=PH8

delta 481
zcmZ9Hy>1jS5XU{X&v&<6u1G3G1c_2D2(3t3ibx>nXwsQT;OrQ7SKbfVPC}%dQXC(m
zNO4@v1LPI*D6WvG@(QWq4Us_D@_7EE`Tgy=6yL<w&dN%%{otqkP6_!<{#h*MyYaYJ
zi>=Ma8mb|(ImnS7RbvE%FBJI)dY{My2Pi%hc@JTaq{GG6hl`8nXCk66dVD_yPv&Hw
z&BzR9)I&u*iw^Xh0*Q*B5@g7Gmveqsf&VLhP>EAIzx~DEUL^gCZvx~gghAe#)&@9`
z0@ax-G+xD-NXjgammHh2(axV3{U<#x(HH5+_C0}h#!Ft5&WFS)qu+J5%(Wb<Pe(l#
zXophlX<KR+#E~+G+NDhLTB}BiT4Sl2!0Q(E1+kN8c>UyUR<yOw)Im{ZFWdaE){S@B
zN2^biZ|h7Mv(eeM(z$obYk2lF@XoZpXI&BlfeB1uHEuhNDxFBtsRos^<0zN!={gLT
bGx~b@i#~$s54O41&vA>6Ab|-@V0CZ<r;vAf

diff --git a/q02_plot/build.py b/q02_plot/build.py
index 70276d6..6f5dcf3 100644
--- a/q02_plot/build.py
+++ b/q02_plot/build.py
@@ -1,7 +1,9 @@
+# %load q02_plot/build.py
 # Default Imports
 import pandas as pd
 import matplotlib.pyplot as plt
 from greyatomlib.descriptive_stats.q01_calculate_statistics.build import calculate_statistics
+import numpy as np
 
 plt.switch_backend('agg')
 dataframe = pd.read_csv('data/house_prices_multivariate.csv')
@@ -10,3 +12,20 @@
 
 # Draw the plot for the mean, median and mode for the dataset
 
+def plot():
+    mean = np.mean(sale_price)
+    median = np.median(sale_price)
+    mode = sale_price.mode()
+    
+    plt.hist(sale_price)
+    plt.plot(mode, label='mode')
+    plt.plot(median, label='median')
+    plt.plot(mode, label='mode')
+    plt.ylim()
+    plt.legend()
+    plt.show()
+    
+plot()
+    
+
+
diff --git a/q02_plot/tests/__pycache__/__init__.cpython-36.pyc b/q02_plot/tests/__pycache__/__init__.cpython-36.pyc
index 488a8902e9cb8aed0f38d008a72db519050c874f..a9b7f61346d1dbd715da86f2830791b11930b5e6 100644
GIT binary patch
delta 54
zcmdnaxQ>y-n3tEUuHs$vL=JPMX#I@*+*JL<?Ba~X%ACaP#FSM1@cg3e;)2BFRQ=@q
Jl+=k?z5wl-6D<G$

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

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..6e576ed2b7c4979e0f8445c29b202339c5d5be45 100644
GIT binary patch
delta 57
zcmX@fet@0Bn3tEUuHs$vMvfXrr3C$q{M=Oi#O&gX#LAq+?8KB*{qX#v?BasN<W&9S
M{FKzq>lvk(05%&F{{R30

delta 66
zcmX@Wev+NTn3tDpkM!KAjT|+M+L`(p`MIh3iAfom`Y!p&rManjCB^#bMX8mECHcAf
Wi8(n61x5K;smUe9o0l<4F#!PMEf)#^


From 31a22f33d53aa9aad868b6ec0aabc6c0ae44ae8c Mon Sep 17 00:00:00 2001
From: akshaylakade <Aakshaylakade@gmail.com>
Date: Fri, 16 Nov 2018 10:46:51 +0000
Subject: [PATCH 3/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 192 -> 183 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 494 -> 604 bytes
 q03_pearson_correlation/build.py              |  14 ++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 198 -> 189 bytes
 .../test_q03_correlation.cpython-36.pyc       | Bin 1680 -> 1671 bytes
 5 files changed, 14 insertions(+)

diff --git a/q03_pearson_correlation/__pycache__/__init__.cpython-36.pyc b/q03_pearson_correlation/__pycache__/__init__.cpython-36.pyc
index 543c178c4df3a2d7e5b64ffe37ce6264e5b948ea..619a456828be11279aa9f33f560ec904fb50d563 100644
GIT binary patch
delta 54
zcmX@WxSf&1n3tEUuHs$vL=JPM6#b0++*JL<?Ba~X%ACaP#FSM1@cg3e;)2BFRQ=@q
Jl+=k?VF2=~6Hx#F

delta 63
zcmdnacz}_^n3tDp*}dkdi5%wIx%wITxvBbzNg0{?F8Rr&xv6<2#ro+*sg;Q(`MLUu
SIXMaiMfq8&$tA@T6T<+s85ZvV

diff --git a/q03_pearson_correlation/__pycache__/build.cpython-36.pyc b/q03_pearson_correlation/__pycache__/build.cpython-36.pyc
index ba8cf119e61bb596104a35e0bb902136188759a1..6ed4aa81b883115a9e86d77bd3bdbe471a876095 100644
GIT binary patch
literal 604
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zwkyB(bz@H4c9@T%@33b`5g0$@eunRIE+<ZPMukB*BeSk=-PY47WbQ$kiVilXW3Iev
vp*kHqXG79h?TOH51jM*sYy>&RhWw(nrf=Yqn8N`=&T~=lVtT}nM4tWuzlfcY

literal 494
zcmZWlu};G<5Veyu4XwH`A_l}nmImmG5E9H4QnxITYacX`9UI%JR90B|1U`UY%F4tq
zFmWy*Dsj?1J>8w&y}Q|DGBSs+rJ{tqlbwi=Utziv1VIFqq@+NbNJLMxjJGUCmWV_Q
zo=G_nbV2g;1E<OS@mMg=ik0phRL0gET%|hc>ov1A^DyOZ{dn+yhHJA4JswnkBSCVF
z>GlykY0!g@8!D)XULxEX&&#0!W}R+x+NTQqN{c+{$3g$jG6mIHxwl{vZiACP;o92W
z?)e+BDQa)wvq9Sm3btI;#f|2jg4Vm@-ol1?tqLaPk+He~j#UAU+uGn=P&v<h?R?E0
zUcBuW52v&0$5|DYg2WNs7R#=dVrn-1c&9oJCx)*RYBR(<EmOl<!CW61QDzpHsPH#7
g#-<$v2xEWFzu6FLeRiR==p<YQJr{1vq7faXU(v{iT>t<8

diff --git a/q03_pearson_correlation/build.py b/q03_pearson_correlation/build.py
index 33a762b..5ac8410 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 +9,15 @@
 
 # Return the correlation value between the SalePrice column for the two loaded datasets
 # Your code here
+
+
+sale_price1 = dataframe_1.loc[:,'SalePrice']
+sale_price2 = dataframe_2.loc[:,'SalePrice']
+
+def correlation():
+    corr = np.corrcoef(sale_price1, sale_price2)[0,1]
+    return corr
+
+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..5b814ae1e036f3738790d36f5197319ff9efa6ce 100644
GIT binary patch
delta 54
zcmX@cxR;T`n3tEUuHs$vL=JPMEd7l9+*JL<?Ba~X%ACaP#FSM1@cg3e;)2BFRQ=@q
Jl+=k?F#z@o6KMbd

delta 63
zcmdnXc#M(5n3tF9Mq+E!L=JQ9V*QN#+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWivi7^1FE*8E3

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..f5d195f4b111626954ef0d66e3aea67c57e0df26 100644
GIT binary patch
delta 57
zcmbQh+s?~j%*)GFSMe@-BgZU8r851D{M=Oi#O&gX#LAq+?8KB*{qX#v?BasN<W&9S
N{FKzqXBiK(001e`6qW!0

delta 66
zcmZqYoxsas%*)GlBe6AVBgZU8?Rx!;{M=Oi#H5T&eV6>?(%jU%l4AYzqSVU7lKfo#
W#GD+3f};Ga)Z~)l%|{pyvj70)g%|4p


From 09f498b4e34a0af24d41c6d16ccbe25211d0dfc8 Mon Sep 17 00:00:00 2001
From: akshaylakade <Aakshaylakade@gmail.com>
Date: Mon, 7 Jan 2019 15:00:25 +0000
Subject: [PATCH 4/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 193 -> 184 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 505 -> 682 bytes
 q04_spearman_correlation/build.py             |  11 +++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 199 -> 190 bytes
 ...st_q04_spearman_correlation.cpython-36.pyc | Bin 1717 -> 1708 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..c2f595701259e49e383cc76dd73fa562de573b08 100644
GIT binary patch
delta 54
zcmX@exPy_yn3tEUuHs$vL=JPMRQ-(n+*JL<?Ba~X%ACaP#FSM1@cg3e;)2BFRQ=@q
Jl+=k?;Q;eG6IB2J

delta 63
zcmdnNc#x69n3tDp*}dkdi5%wIdHNaoxvBbzNg0{?F8Rr&xv6<2#ro+*sg;Q(`MLUu
SIXMaiMfq8&$tA@T6T<<t#1``a

diff --git a/q04_spearman_correlation/__pycache__/build.cpython-36.pyc b/q04_spearman_correlation/__pycache__/build.cpython-36.pyc
index 94f735a46faa9e694e8a6b3b49b480cf37144bf0..3217d9bfe903e4aee4e9a7a91eb1496f78d22360 100644
GIT binary patch
literal 682
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diff --git a/q04_spearman_correlation/build.py b/q04_spearman_correlation/build.py
index 557be32..6cee9c1 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
+import scipy as sc
 
 dataframe_1 = pd.read_csv('data/house_prices_multivariate.csv')
 dataframe_2 = pd.read_csv('data/house_prices_copy.csv')
 
 # Your code here
+saleprice1 = dataframe_1.loc[:, 'SalePrice']
+saleprice2 = dataframe_2.loc[:, 'SalePrice']
+
+def spearman_correlation():
+    
+    df = pd.concat([saleprice1,saleprice2], axis=1).corr(method='spearman').iloc[0,-1]
+    return df
+
 
diff --git a/q04_spearman_correlation/tests/__pycache__/__init__.cpython-36.pyc b/q04_spearman_correlation/tests/__pycache__/__init__.cpython-36.pyc
index 495646a3bc5e900ad0593288f8e14eb5f8ed301b..c5b0b4a924a39eb8aa748ec58b93507a7035a52b 100644
GIT binary patch
delta 54
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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..43b287bb1c05292c9b1c6c774928ee7943be245b 100644
GIT binary patch
delta 57
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delta 66
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