From bc9682896f0f9272a0913fd3464506b172e65c54 Mon Sep 17 00:00:00 2001
From: PoojaTatkare <poojatatkare8@gmail.com>
Date: Sat, 6 Oct 2018 10:19:50 +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 -> 548 bytes
 q01_calculate_statistics/build.py             |  11 ++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 199 -> 190 bytes
 .../__pycache__/test_q01_plot.cpython-36.pyc  | Bin 2949 -> 2940 bytes
 6 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index cd8686b0f9f17c173480b2b430af88fa1427ca13..2c4e6da07529be9dbea92db4501907c50e425443 100644
GIT binary patch
delta 54
zcmZ3%IG>Tjn3tE!+kIQ~L=JN$AN`E{+*JL5{QRuMki?Sg#G+LF@cg3e;)2BFRQ=@q
Jl+=k?b^yl15;p(<

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..1940e2a9539d198a46c548af1adc2de98d6e78f7 100644
GIT binary patch
delta 54
zcmX@exPy_yn3tE!+kIQ~L=JPMRQ-(n+*JL5{QRuMki?Sg#G+LF@cg3e;)2BFRQ=@q
Jl+=k?;Q-Xr5}N=3

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..163bf74e8952cf16c5e6c77950a864b4b7e0872b 100644
GIT binary patch
delta 261
zcmeyyvV?`xn3tF9a`%qtvlBUYt1@J<lrUwnHZwFc)-u&F)G*dCr7%h|q%j9GXfpW~
zF)}bPXtGWGC-2UhSX7i)d5a}CKP6R@xriAkQN#)&*nz}Kh9V9i^(#p~BR@A)KOjFp
zD={RoBs;MvRX;qxD7&~IF*#K~8K`yg0><z<9-!J{kOl@uE+FJ%EaC#PH92pw=9T6a
zR2DG-c~NWyiFqlB#kZIWQldDDQWI0+lZ(r4v7{uHB;I1q$xkj~0jdIP1lx^7Z~`T6
Zao7M|TAGt;2XZOcG7d%#CN4%HRsbj#KcfHu

delta 344
zcmY*Uu}*|Q5Zzt&I6#Tf*jPzRMPX-*mDX2WVM0Szb`%g;G7FbrFjx2m7h6jkzrjD@
z3-kvxv2u^fYhLEfy!U42jem3Z%=f*;=WG14aX-#^F)QqrJ<}&Pkbw@Ym`i#>?yMyV
z+2iqb-2w)^>M%%^gdhV1q=b;r*?gU@StDb637CT(d1VBny%J>yI<(>gElNll%u`4z
z5OsXG(~!Ao?P!esouF&Ne;=YuRS=2WERU{K+Eq}uI=V;bMXRbvlx5JMDmbLAep%3)
zwQpS7F+ePjdUT)Ro~c83oYh^`^vDd0?MBp6XtcM)K@c)Y^=jl&v|_YMl_EEj$vK_z
Z4?Hs%oeT3~SHk5sZQABghk5j9{s%aXVO{_L

diff --git a/q01_calculate_statistics/build.py b/q01_calculate_statistics/build.py
index a556241..d97f2d6 100644
--- a/q01_calculate_statistics/build.py
+++ b/q01_calculate_statistics/build.py
@@ -1,11 +1,20 @@
+# %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"]
+sale_price = data.loc[:, 'SalePrice']
 
 
 # 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= np.array(sale_price.mode())
+    return mean,median,mode[0]
+
+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..67df0bc9657b183eabdc44f81c284b59d49afddb 100644
GIT binary patch
delta 54
zcmX@kxQ~&;n3tE!*L_>`L=JPMZ2gS<+*JL5{QRuMki?Sg#G+LF@cg3e;)2BFRQ=@q
Jl+=k?u>jbO614yT

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..978ae2d0caad21ed96bb44229daacc54dca38b56 100644
GIT binary patch
delta 57
zcmZn_|0Bj>%*)H=>%J{|Bgaujr2_qo{M=Oifc*Td#E`_2?8Kr}{qX#v?BasN<W&9S
M{FKzqKNx#C0V?SfdH?_b

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


From 043cadaf11d771b5fd0d4c93e427c88ad5fdfdc2 Mon Sep 17 00:00:00 2001
From: PoojaTatkare <poojatatkare8@gmail.com>
Date: Mon, 15 Oct 2018 18:22:07 +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 -> 784 bytes
 q02_plot/build.py                               |  14 ++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc   | Bin 183 -> 174 bytes
 .../__pycache__/test_q02_plot.cpython-36.pyc    | Bin 969 -> 960 bytes
 5 files changed, 14 insertions(+)

diff --git a/q02_plot/__pycache__/__init__.cpython-36.pyc b/q02_plot/__pycache__/__init__.cpython-36.pyc
index 215eac083bf88e6537e6d7d6a5471a2c374ca81c..a533a686776d09207148e209345c2f1934d3cf1f 100644
GIT binary patch
delta 54
zcmdnUxPp<xn3tE!+kIQ~L=JPMQ2mVj+*JL5{QRuMki?Sg#G+LF@cg3e;)2BFRQ=@q
Jl+=k??f}cv5?cTO

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..aae6565342fa96be9ecadc9a6af08452c8a28a8f 100644
GIT binary patch
delta 521
zcmZ9JF>4z!6vy=>-TBV3J(MgVr9-{clPMY6!IVOVkfjN2p`b#8d{4ITe0MUsOHHN>
zPUw<AjE8)NevkG`Xzk>&Yo|(AXhS95|2_TS{oez93Gc%GLATrfZohrJr-b|<4-Rwn
zYZuk&y8rZmXDwta0HPp^kgq_*D$d#n2-g&Y3Ed-N2SaRK5z#?-M+VWld=dyIr_=S#
z%S&$@xH$BVpPbYrgB1avY0aDuy`{~I*DMQG1Q~J+ZrNWJIu`!NT8_0Iu*f?i@zdXI
zM{ddh1Rtkm_1uElau28o5}j)!;yf+YGR1mkVQOJKh%H;>wFoEa^xUY;1?(RSUMN|L
zuuz!F((*#161<w}<yT^MoLwWo-VSHFP{UKLGx=WDb7|D@gEsSOArm!BT+`+!ym;1i
z4OPbpfe3oA+g#)6pew?KEKydLE^u=~A49as>CvQDEz>%gosDHOS0#$bD2ZoD^;yIy
rYdJBpP?qI7F|o60y#DR=r}6`BG;*t-=jxUJ)n<nX+R&kGr;qq=Eirnz

literal 775
zcmZuvO>fgM7`B}>O+!10i3{R_xaHD}ah(tnh~tFRo0$~3_B-mxX)@a>6s@Pifx~_R
zKY+iKE2sShPQ1=QR1=Q;`u(!~JWu>$Hp@<*eCOX7AwS8%h|qt9)4fHbh@ysYI;^aU
zc#Ix1qdMUUB|xjOiuRPJkX92#75&Ooe90aYo~e;az7YOE(FMuJw|Evg&uRZi3L`rs
zJe1B0ubtP@eSW5d7saaS9F(oq5?on##_Nr+8e8YmZTMs%47>|P84e30KuvJI#_2B5
zc(NxK(T?osj(J)!A0a4q!zjThz9uSCaR7D`|H;t%89%C$YqlSV{p(dEkT~zDL<%F>
zn8x;W$rB~q3e+u1Nb<<WxbTV5YjA#R;LiQ1m0#tl4LyC-8qebuvhFj7bneLVvG}wJ
z+j`b2o-Dv>aDB27rURFw<~4{lPijzFtoyib6#O7|iU<CBkD}F3h~-KbZyMRvu=cL_
zU|}nKQy0RRr>$)&keF5Aq}45|dZ;}@80y8<$!Xb|#uv*@8#QmYeH_AYjmyvwI;BVS
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..684bd0a 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
@@ -9,4 +10,17 @@
 
 
 # Draw the plot for the mean, median and mode for the dataset
+def plot():
+    plt.figure()
+    plt.hist(sale_price, bins=60)
+    plt.axvline(sale_price.mean(),color= 'r', linewidth=4, )
+    plt.axvline(sale_price.median(),color= 'g', linewidth=4, )
+    plt.axvline(sale_price.mode(),color= 'b', linewidth=4, )
+    plt.show()
+    
+   
+
+
+
+
 
diff --git a/q02_plot/tests/__pycache__/__init__.cpython-36.pyc b/q02_plot/tests/__pycache__/__init__.cpython-36.pyc
index 488a8902e9cb8aed0f38d008a72db519050c874f..6ea862c4e2a79dd2623d81e58630c2484549bdb4 100644
GIT binary patch
delta 54
zcmdnaxQ>y-n3tE!+kIQ~L=JPMX#I@*+*JL5{QRuMki?Sg#G+LF@cg3e;)2BFRQ=@q
Jl+=k?z5vfN5_13m

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..a6c84b0d0d7765fe679884d420ec9634206ef8c2 100644
GIT binary patch
delta 57
zcmX@fet@0Bn3tE!+kIQ~MvfXrr3C$q{M=Oifc*Td#E`_2?8Kr}{qX#v?BasN<W&9S
M{FKzq>lvk(02QPYMF0Q*

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


From 4ff643d396035a0065e9d81b92574fffc59b02e1 Mon Sep 17 00:00:00 2001
From: PoojaTatkare <poojatatkare8@gmail.com>
Date: Mon, 15 Oct 2018 18:39:14 +0000
Subject: [PATCH 3/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 192 -> 183 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 494 -> 503 bytes
 q03_pearson_correlation/build.py              |  10 ++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 198 -> 189 bytes
 .../test_q03_correlation.cpython-36.pyc       | Bin 1680 -> 1671 bytes
 5 files changed, 10 insertions(+)

diff --git a/q03_pearson_correlation/__pycache__/__init__.cpython-36.pyc b/q03_pearson_correlation/__pycache__/__init__.cpython-36.pyc
index 543c178c4df3a2d7e5b64ffe37ce6264e5b948ea..1440e7d9fc7bc1cbcc68fe3776e4024e1bc78188 100644
GIT binary patch
delta 54
zcmX@WxSf&1n3tE!+kIQ~L=JPM6#b0++*JL5{QRuMki?Sg#G+LF@cg3e;)2BFRQ=@q
Jl+=k?VF1)a5|;n~

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..0f8906b2f7b683672cd0849b7f254efd0fb2f0ea 100644
GIT binary patch
delta 283
zcmaFI{GD0Zn3tF9_`M_12N@X{9y1^TCLr4Zh>P_mDyy@lvNkg?GEDRet!D;`f#jS)
za&kbTgdv4dlA)HNgb_?L)-Yr-)i5?Q)-u&F1v6+e`9*OCC+4IE6lEr-YBJyAPDw0D
zOe;#vO^r81<`~^#NzN}S0;*t2NsD4mNi!;90h+#&p@<Dg{Yuo&$j?pH50J{w&q@qQ
zEXhtRO4Sd~FUl@1NK8)EPtH$Coove(WWWJb%)rP2gj|e8AdV(m6k9=JUP@x|EvAB$
mD2}4k#FY5t;<6%;CyJOS?_^XH1o^2Lq?m(=i;;_!gAD-a`$L5Q

delta 247
zcmey){Ek`Kn3tEUKxS@KE+YfOV+JI^1Y|n^ak0ikW%Y>xq4gj+79e&82?_y;5{4|s
zET$6XEXEYZ6sBILU<OTQzbN*C)Wo9V{5(y@TWq<hB^miCnk=`tQxZ!O(~1&vQ{xSz
zID->&QUi)IlT&Z8B<B|uA<G)AWGG?-nhhp?W$9<+=cei>CS_#m%e&+!m*%GCl@#lz
z7o}DvmgMK^C+6fR6cpuWr6!jYPqt$WVg)&xVe)K7c{XN{A*_=RFsku`1dBn2axif*
Ha<KsbtcpFq

diff --git a/q03_pearson_correlation/build.py b/q03_pearson_correlation/build.py
index 33a762b..f974d8e 100644
--- a/q03_pearson_correlation/build.py
+++ b/q03_pearson_correlation/build.py
@@ -1,3 +1,4 @@
+# %load q03_pearson_correlation/build.py
 # Default Imports
 import pandas as pd
 
@@ -7,3 +8,12 @@
 
 # Return the correlation value between the SalePrice column for the two loaded datasets
 # Your code here
+def correlation():
+    df= dataframe_1['SalePrice']
+    df2= dataframe_2['SalePrice']
+    corr= df.corr(df2)
+    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..47adafc35d30eb2c226787f8d6a89143ef1c2d29 100644
GIT binary patch
delta 54
zcmX@cxR;T`n3tE!+kIQ~L=JPMEd7l9+*JL5{QRuMki?Sg#G+LF@cg3e;)2BFRQ=@q
Jl+=k?F#y-260ZON

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..171b64f1bdead967998b337a1a0e2aa79bb65b37 100644
GIT binary patch
delta 57
zcmbQh+s?~j%*)H=?Y=E~BgZU8r851D{M=Oifc*Td#E`_2?8Kr}{qX#v?BasN<W&9S
N{FKzqXBiK(000SE6Wjm*

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


From 7407215d203a2f35c685d3135cc5ae174414658c Mon Sep 17 00:00:00 2001
From: PoojaTatkare <poojatatkare8@gmail.com>
Date: Thu, 3 Jan 2019 09:21:34 +0000
Subject: [PATCH 4/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 193 -> 184 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 505 -> 772 bytes
 q04_spearman_correlation/build.py             |  19 ++++++++++++++++++
 3 files changed, 19 insertions(+)

diff --git a/q04_spearman_correlation/__pycache__/__init__.cpython-36.pyc b/q04_spearman_correlation/__pycache__/__init__.cpython-36.pyc
index 78682675323d8e4b951373280266bfae3fe10d8b..dc90ff3de162281f4a3cae0925fa59fe3cdaf060 100644
GIT binary patch
delta 54
zcmX@exPy_yn3tE!+kIQ~L=JPMRQ-(n+*JL5{QRuMki?Sg#G+LF@cg3e;)2BFRQ=@q
Jl+=k?;Q-Xr5}N=3

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..700229401d798fcdf8b21203c571769e9f3e4895 100644
GIT binary patch
literal 772
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M=Md38>C@=$F9&?a;Q#;t

delta 312
zcmYjMu}Z{15Z&Fxn2TIvt#ELKrV5^|h@iC`93pIUjM>p#%x1&vo?vBTYjFtI`2qe?
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diff --git a/q04_spearman_correlation/build.py b/q04_spearman_correlation/build.py
index 557be32..038e16a 100644
--- a/q04_spearman_correlation/build.py
+++ b/q04_spearman_correlation/build.py
@@ -1,8 +1,27 @@
+# %load q04_spearman_correlation/build.py
 # Default Import
 import pandas as pd
 
+
 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():
+    sale = pd.DataFrame(dataframe_1['SalePrice'])
+    sale2 = pd.DataFrame(dataframe_2['SalePrice'])
+    sale['rank'] = sale['SalePrice'].rank()
+    sale2['rank2'] = sale2['SalePrice'].rank()
+    df = pd.concat([sale,sale2], axis = 1)
+    df['d'] = abs(df['rank'] - df['rank2'])
+    df['d squared'] = df['d'] ** 2
+    s= df['d squared'].sum()
+    n = len(df)
+    result = 1- (6*s)/(n*(n**2-1))
+    return result
+    
+
+
+spearman_correlation()
+