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devfzn 2024-06-30 13:37:46 -04:00
parent 94383ad073
commit fbbc4f277e
Signed by: devfzn
GPG Key ID: E070ECF4A754FDB1
4 changed files with 481 additions and 0 deletions
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6
ctrl_2/ej_01/.ipynb_checkpoints/ejercicio_01-checkpoint.ipynb Normal file
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{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 5
}

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ctrl_2/ej_01/ejercicio_01.ipynb Normal file
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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"id": "22f35792-a38d-49bf-8e02-c299271055cb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Order_ID Product Category Amount Date Country\n",
"count 213.000000 213 213 213 213 213\n",
"unique NaN 7 2 213 150 7\n",
"top NaN Banana Fruit $4'270 16-01-16 United States\n",
"freq NaN 71 146 1 4 57\n",
"mean 107.000000 NaN NaN NaN NaN NaN\n",
"std 61.631972 NaN NaN NaN NaN NaN\n",
"min 1.000000 NaN NaN NaN NaN NaN\n",
"25% 54.000000 NaN NaN NaN NaN NaN\n",
"50% 107.000000 NaN NaN NaN NaN NaN\n",
"75% 160.000000 NaN NaN NaN NaN NaN\n",
"max 213.000000 NaN NaN NaN NaN NaN\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"df = pd.read_csv('venta_verduras_y_frutas.csv')\n",
"\n",
"print(df.describe(include='all'))"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "ec8937dc-0605-4dcc-9f7c-faeac54c05d9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Order_ID Product Category Amount Date Country\n",
"0 1 Carrots Vegetables $4'270 06-01-16 United States\n",
"1 2 Broccoli Vegetables $8'239 07-01-16 United Kingdom\n",
"2 3 Banana Fruit $617 08-01-16 United States\n",
"3 4 Banana Fruit $8'384 10-01-16 Canada\n",
"4 5 Beans Vegetables $2'626 10-01-16 Germany\n",
"5 6 Orange Fruit $3'610 11-01-16 United States\n",
"6 7 Broccoli Vegetables $9'062 11-01-16 Australia\n",
"7 8 Banana Fruit $6'906 16-01-16 New Zealand\n",
"8 9 Apple Fruit $2'417 16-01-16 France\n",
"9 10 Apple Fruit $7'431 16-01-16 Canada\n"
]
}
],
"source": [
"print(df.head(10))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "598245c7-d0c7-4173-aaf8-e7511d4b10a9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Order_ID Product Category Amount Date Country\n",
"203 204 Orange Fruit $2'782 20-12-16 United Kingdom\n",
"204 205 Apple Fruit $2'455 20-12-16 Canada\n",
"205 206 Apple Fruit $4'512 22-12-16 New Zealand\n",
"206 207 Apple Fruit $8'752 22-12-16 Germany\n",
"207 208 Carrots Vegetables $9'127 25-12-16 United States\n",
"208 209 Apple Fruit $1'777 28-12-16 France\n",
"209 210 Beans Vegetables $680 28-12-16 France\n",
"210 211 Orange Fruit $958 29-12-16 United States\n",
"211 212 Carrots Vegetables $2'613 29-12-16 Australia\n",
"212 213 Carrots Vegetables $339 30-12-16 Australia\n"
]
}
],
"source": [
"print(df.tail(10))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "64be6624-d703-4ade-9eb6-c55f9e379250",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Category Amount\n",
"0 Vegetables $4'270\n",
"1 Vegetables $8'239\n",
"2 Fruit $617\n",
"3 Fruit $8'384\n",
"4 Vegetables $2'626\n",
".. ... ...\n",
"208 Fruit $1'777\n",
"209 Vegetables $680\n",
"210 Fruit $958\n",
"211 Vegetables $2'613\n",
"212 Vegetables $339\n",
"\n",
"[213 rows x 2 columns]\n"
]
}
],
"source": [
"parcial_data = df[['Category','Amount']]\n",
"print(parcial_data)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "1511d979-3831-4f84-ac77-73d0f0958497",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['Order_ID', 'Product', 'Category', 'Amount', 'Date', 'Country'], dtype='object')\n"
]
}
],
"source": [
"columnas = df.columns\n",
"print(columnas)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "6a97d112-05f8-44f2-8ca9-0bded4b73283",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Order_ID Product Category Amount Date Country\n",
"2 3 Banana Fruit $617 08-01-16 United States\n",
"3 4 Banana Fruit $8'384 10-01-16 Canada\n",
"5 6 Orange Fruit $3'610 11-01-16 United States\n",
"7 8 Banana Fruit $6'906 16-01-16 New Zealand\n",
"8 9 Apple Fruit $2'417 16-01-16 France\n",
".. ... ... ... ... ... ...\n",
"204 205 Apple Fruit $2'455 20-12-16 Canada\n",
"205 206 Apple Fruit $4'512 22-12-16 New Zealand\n",
"206 207 Apple Fruit $8'752 22-12-16 Germany\n",
"208 209 Apple Fruit $1'777 28-12-16 France\n",
"210 211 Orange Fruit $958 29-12-16 United States\n",
"\n",
"[146 rows x 6 columns]\n"
]
}
],
"source": [
"frutas = df[df['Category']=='Fruit']\n",
"print(frutas)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "e49afb79-1749-421a-bd63-919bc1c74bcf",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Order_ID \n",
" count mean std min 25% 50% 75% max\n",
"Category \n",
"Fruit 146.0 107.239726 60.488734 3.0 56.75 106.0 158.75 211.0\n",
"Vegetables 67.0 106.477612 64.516467 1.0 47.50 110.0 161.50 213.0\n"
]
}
],
"source": [
"grupos = df.groupby('Category')\n",
"print(grupos.describe())"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "afe9d318-f0f9-4214-8935-9f6c6214f5e8",
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'inspect' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[20], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m#frutas = df.filter()\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m help(\u001b[43minspect\u001b[49m)\n",
"\u001b[0;31mNameError\u001b[0m: name 'inspect' is not defined"
]
}
],
"source": [
"#frutas = df.filter()\n",
"help(inspect)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.12.4"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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ctrl_2/ej_01/test_00.py Normal file
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import pandas as pd
# import numpy as np
df = pd.read_csv('./venta_verduras_y_frutas.csv')
print(df.describe(include='all'))
print(df.head(10))
print(type(df))
frutas = df[df['Category'] == 'Fruit']
categorias = df.groupby(['Category'])
print(frutas)
print(type(frutas))
pt = df.pivot(columns='Category')
print(pt)

214
ctrl_2/ej_01/venta_verduras_y_frutas.csv Normal file
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Order_ID,Product,Category,Amount,Date,Country
1,Carrots,Vegetables,$4'270,06-01-16,United States
2,Broccoli,Vegetables,$8'239,07-01-16,United Kingdom
3,Banana,Fruit,$617,08-01-16,United States
4,Banana,Fruit,$8'384,10-01-16,Canada
5,Beans,Vegetables,$2'626,10-01-16,Germany
6,Orange,Fruit,$3'610,11-01-16,United States
7,Broccoli,Vegetables,$9'062,11-01-16,Australia
8,Banana,Fruit,$6'906,16-01-16,New Zealand
9,Apple,Fruit,$2'417,16-01-16,France
10,Apple,Fruit,$7'431,16-01-16,Canada
11,Banana,Fruit,$8'250,16-01-16,Germany
12,Broccoli,Vegetables,$7'012,18-01-16,United States
13,Carrots,Vegetables,$1'903,20-01-16,Germany
14,Broccoli,Vegetables,$2'824,22-01-16,Canada
15,Apple,Fruit,$6'946,24-01-16,France
16,Banana,Fruit,$2'320,27-01-16,United Kingdom
17,Banana,Fruit,$2'116,28-01-16,United States
18,Banana,Fruit,$1'135,30-01-16,United Kingdom
19,Broccoli,Vegetables,$3'595,30-01-16,United Kingdom
20,Apple,Fruit,$1'161,02-02-16,United States
21,Orange,Fruit,$2'256,04-02-16,France
22,Banana,Fruit,$1'004,11-02-16,New Zealand
23,Banana,Fruit,$3'642,14-02-16,Canada
24,Banana,Fruit,$4'582,17-02-16,United States
25,Beans,Vegetables,$3'559,17-02-16,United Kingdom
26,Carrots,Vegetables,$5'154,17-02-16,Australia
27,Mango,Fruit,$7'388,18-02-16,France
28,Beans,Vegetables,$7'163,18-02-16,United States
29,Beans,Vegetables,$5'101,20-02-16,Germany
30,Apple,Fruit,$7'602,21-02-16,France
31,Mango,Fruit,$1'641,22-02-16,United States
32,Apple,Fruit,$8'892,23-02-16,Australia
33,Apple,Fruit,$2'060,29-02-16,France
34,Broccoli,Vegetables,$1'557,29-02-16,Germany
35,Apple,Fruit,$6'509,01-03-16,France
36,Apple,Fruit,$5'718,04-03-16,Australia
37,Apple,Fruit,$7'655,05-03-16,United States
38,Carrots,Vegetables,$9'116,05-03-16,United Kingdom
39,Banana,Fruit,$2'795,15-03-16,United States
40,Banana,Fruit,$5'084,15-03-16,United States
41,Carrots,Vegetables,$8'941,15-03-16,United Kingdom
42,Broccoli,Vegetables,$5'341,16-03-16,France
43,Banana,Fruit,$135,19-03-16,Canada
44,Banana,Fruit,$9'400,19-03-16,Australia
45,Beans,Vegetables,$6'045,21-03-16,Germany
46,Apple,Fruit,$5'820,22-03-16,New Zealand
47,Orange,Fruit,$8'887,23-03-16,Germany
48,Orange,Fruit,$6'982,24-03-16,United States
49,Banana,Fruit,$4'029,26-03-16,Australia
50,Carrots,Vegetables,$3'665,26-03-16,Germany
51,Banana,Fruit,$4'781,29-03-16,France
52,Mango,Fruit,$3'663,30-03-16,Australia
53,Apple,Fruit,$6'331,01-04-16,France
54,Apple,Fruit,$4'364,01-04-16,Canada
55,Carrots,Vegetables,$607,03-04-16,United Kingdom
56,Banana,Fruit,$1'054,06-04-16,New Zealand
57,Carrots,Vegetables,$7'659,06-04-16,United States
58,Broccoli,Vegetables,$277,12-04-16,Germany
59,Banana,Fruit,$235,17-04-16,United States
60,Orange,Fruit,$1'113,18-04-16,Australia
61,Apple,Fruit,$1'128,21-04-16,United States
62,Broccoli,Vegetables,$9'231,22-04-16,Canada
63,Banana,Fruit,$4'387,23-04-16,United States
64,Apple,Fruit,$2'763,25-04-16,Canada
65,Banana,Fruit,$7'898,27-04-16,United Kingdom
66,Banana,Fruit,$2'427,30-04-16,France
67,Banana,Fruit,$8'663,01-05-16,New Zealand
68,Carrots,Vegetables,$2'789,01-05-16,Germany
69,Banana,Fruit,$4'054,02-05-16,United States
70,Mango,Fruit,$2'262,02-05-16,United States
71,Mango,Fruit,$5'600,02-05-16,United Kingdom
72,Banana,Fruit,$5'787,03-05-16,United States
73,Orange,Fruit,$6'295,03-05-16,Canada
74,Banana,Fruit,$474,05-05-16,Germany
75,Apple,Fruit,$4'325,05-05-16,France
76,Banana,Fruit,$592,06-05-16,United States
77,Orange,Fruit,$4'330,08-05-16,United States
78,Banana,Fruit,$9'405,08-05-16,United Kingdom
79,Apple,Fruit,$7'671,08-05-16,France
80,Carrots,Vegetables,$5'791,08-05-16,United Kingdom
81,Banana,Fruit,$6'007,12-05-16,Canada
82,Banana,Fruit,$5'030,14-05-16,Germany
83,Carrots,Vegetables,$6'763,14-05-16,United Kingdom
84,Banana,Fruit,$4'248,15-05-16,Australia
85,Banana,Fruit,$9'543,16-05-16,France
86,Broccoli,Vegetables,$2'054,16-05-16,United Kingdom
87,Beans,Vegetables,$7'094,16-05-16,Germany
88,Carrots,Vegetables,$6'087,18-05-16,United States
89,Apple,Fruit,$4'264,19-05-16,Australia
90,Mango,Fruit,$9'333,20-05-16,United States
91,Mango,Fruit,$8'775,22-05-16,Germany
92,Broccoli,Vegetables,$2'011,23-05-16,United Kingdom
93,Banana,Fruit,$5'632,25-05-16,United States
94,Banana,Fruit,$4'904,25-05-16,New Zealand
95,Beans,Vegetables,$1'002,25-05-16,Australia
96,Orange,Fruit,$8'141,26-05-16,United Kingdom
97,Orange,Fruit,$3'644,26-05-16,Canada
98,Orange,Fruit,$1'380,26-05-16,Australia
99,Broccoli,Vegetables,$8'354,26-05-16,Germany
100,Banana,Fruit,$5'182,27-05-16,United States
101,Apple,Fruit,$2'193,27-05-16,France
102,Mango,Fruit,$3'647,28-05-16,United States
103,Apple,Fruit,$4'104,28-05-16,United States
104,Carrots,Vegetables,$7'457,28-05-16,United States
105,Mango,Fruit,$3'767,29-05-16,Canada
106,Broccoli,Vegetables,$4'685,30-05-16,Germany
107,Banana,Fruit,$3'917,04-06-16,United States
108,Apple,Fruit,$521,04-06-16,Canada
109,Apple,Fruit,$5'605,10-06-16,France
110,Broccoli,Vegetables,$9'630,11-06-16,Germany
111,Banana,Fruit,$6'941,20-06-16,Canada
112,Broccoli,Vegetables,$7'231,20-06-16,United Kingdom
113,Broccoli,Vegetables,$8'891,23-06-16,Australia
114,Banana,Fruit,$107,25-06-16,France
115,Banana,Fruit,$4'243,26-06-16,United States
116,Orange,Fruit,$4'514,27-06-16,United States
117,Mango,Fruit,$5'480,02-07-16,United States
118,Banana,Fruit,$5'002,02-07-16,France
119,Banana,Fruit,$8'530,05-07-16,Canada
120,Orange,Fruit,$4'819,07-07-16,New Zealand
121,Broccoli,Vegetables,$6'343,11-07-16,United Kingdom
122,Orange,Fruit,$2'318,13-07-16,United Kingdom
123,Orange,Fruit,$220,20-07-16,United Kingdom
124,Orange,Fruit,$6'341,20-07-16,New Zealand
125,Apple,Fruit,$330,20-07-16,Germany
126,Broccoli,Vegetables,$3'027,20-07-16,United Kingdom
127,Orange,Fruit,$850,22-07-16,New Zealand
128,Banana,Fruit,$8'986,23-07-16,United Kingdom
129,Broccoli,Vegetables,$3'800,25-07-16,United States
130,Carrots,Vegetables,$5'751,28-07-16,United Kingdom
131,Apple,Fruit,$1'704,29-07-16,United Kingdom
132,Banana,Fruit,$7'966,30-07-16,Australia
133,Banana,Fruit,$852,31-07-16,United States
134,Beans,Vegetables,$8'416,31-07-16,Australia
135,Banana,Fruit,$7'144,01-08-16,France
136,Broccoli,Vegetables,$7'854,01-08-16,United States
137,Orange,Fruit,$859,03-08-16,United States
138,Broccoli,Vegetables,$8'049,12-08-16,United States
139,Banana,Fruit,$2'836,13-08-16,Germany
140,Carrots,Vegetables,$1'743,19-08-16,United States
141,Apple,Fruit,$3'844,23-08-16,France
142,Apple,Fruit,$7'490,24-08-16,France
143,Broccoli,Vegetables,$4'483,25-08-16,Germany
144,Apple,Fruit,$7'333,27-08-16,Canada
145,Carrots,Vegetables,$7'654,28-08-16,United States
146,Apple,Fruit,$3'944,29-08-16,United Kingdom
147,Beans,Vegetables,$5'761,29-08-16,Germany
148,Banana,Fruit,$6'864,01-09-16,New Zealand
149,Banana,Fruit,$4'016,01-09-16,Germany
150,Banana,Fruit,$1'841,02-09-16,United States
151,Banana,Fruit,$424,05-09-16,Australia
152,Banana,Fruit,$8'765,07-09-16,United Kingdom
153,Banana,Fruit,$5'583,08-09-16,United States
154,Broccoli,Vegetables,$4'390,09-09-16,New Zealand
155,Broccoli,Vegetables,$352,09-09-16,Canada
156,Apple,Fruit,$8'489,11-09-16,United States
157,Banana,Fruit,$7'090,11-09-16,France
158,Banana,Fruit,$7'880,15-09-16,United States
159,Orange,Fruit,$3'861,18-09-16,United States
160,Broccoli,Vegetables,$7'927,19-09-16,Germany
161,Banana,Fruit,$6'162,20-09-16,United States
162,Mango,Fruit,$5'523,25-09-16,Australia
163,Broccoli,Vegetables,$5'936,25-09-16,United Kingdom
164,Carrots,Vegetables,$7'251,26-09-16,Germany
165,Orange,Fruit,$6'187,27-09-16,Australia
166,Banana,Fruit,$3'210,29-09-16,Germany
167,Carrots,Vegetables,$682,29-09-16,Germany
168,Banana,Fruit,$793,03-10-16,Australia
169,Carrots,Vegetables,$5'346,04-10-16,Germany
170,Banana,Fruit,$7'103,07-10-16,New Zealand
171,Carrots,Vegetables,$4'603,10-10-16,United States
172,Apple,Fruit,$8'160,16-10-16,France
173,Apple,Fruit,$7'171,23-10-16,United Kingdom
174,Banana,Fruit,$3'552,23-10-16,New Zealand
175,Banana,Fruit,$7'273,25-10-16,Australia
176,Banana,Fruit,$2'402,26-10-16,Germany
177,Banana,Fruit,$1'197,26-10-16,Australia
178,Beans,Vegetables,$5'015,26-10-16,Australia
179,Orange,Fruit,$5'818,02-11-16,United States
180,Banana,Fruit,$4'399,03-11-16,United Kingdom
181,Carrots,Vegetables,$3'011,03-11-16,United States
182,Apple,Fruit,$4'715,09-11-16,United Kingdom
183,Apple,Fruit,$5'321,12-11-16,France
184,Banana,Fruit,$8'894,15-11-16,United States
185,Carrots,Vegetables,$4'846,25-11-16,United Kingdom
186,Broccoli,Vegetables,$284,25-11-16,Germany
187,Orange,Fruit,$8'283,26-11-16,United Kingdom
188,Orange,Fruit,$9'990,28-11-16,Canada
189,Banana,Fruit,$9'014,28-11-16,Australia
190,Apple,Fruit,$1'942,29-11-16,France
191,Banana,Fruit,$7'223,30-11-16,United States
192,Carrots,Vegetables,$4'673,02-12-16,United States
193,Carrots,Vegetables,$9'104,04-12-16,France
194,Apple,Fruit,$6'078,05-12-16,United States
195,Beans,Vegetables,$3'278,06-12-16,Germany
196,Banana,Fruit,$136,12-12-16,Canada
197,Banana,Fruit,$8'377,12-12-16,Australia
198,Banana,Fruit,$2'382,12-12-16,United States
199,Banana,Fruit,$8'702,15-12-16,Germany
200,Banana,Fruit,$5'021,16-12-16,United States
201,Apple,Fruit,$1'760,16-12-16,Australia
202,Banana,Fruit,$4'766,18-12-16,Germany
203,Beans,Vegetables,$1'541,19-12-16,United Kingdom
204,Orange,Fruit,$2'782,20-12-16,United Kingdom
205,Apple,Fruit,$2'455,20-12-16,Canada
206,Apple,Fruit,$4'512,22-12-16,New Zealand
207,Apple,Fruit,$8'752,22-12-16,Germany
208,Carrots,Vegetables,$9'127,25-12-16,United States
209,Apple,Fruit,$1'777,28-12-16,France
210,Beans,Vegetables,$680,28-12-16,France
211,Orange,Fruit,$958,29-12-16,United States
212,Carrots,Vegetables,$2'613,29-12-16,Australia
213,Carrots,Vegetables,$339,30-12-16,Australia
1 Order_ID Product Category Amount Date Country
2 1 Carrots Vegetables $4'270 06-01-16 United States
3 2 Broccoli Vegetables $8'239 07-01-16 United Kingdom
4 3 Banana Fruit $617 08-01-16 United States
5 4 Banana Fruit $8'384 10-01-16 Canada
6 5 Beans Vegetables $2'626 10-01-16 Germany
7 6 Orange Fruit $3'610 11-01-16 United States
8 7 Broccoli Vegetables $9'062 11-01-16 Australia
9 8 Banana Fruit $6'906 16-01-16 New Zealand
10 9 Apple Fruit $2'417 16-01-16 France
11 10 Apple Fruit $7'431 16-01-16 Canada
12 11 Banana Fruit $8'250 16-01-16 Germany
13 12 Broccoli Vegetables $7'012 18-01-16 United States
14 13 Carrots Vegetables $1'903 20-01-16 Germany
15 14 Broccoli Vegetables $2'824 22-01-16 Canada
16 15 Apple Fruit $6'946 24-01-16 France
17 16 Banana Fruit $2'320 27-01-16 United Kingdom
18 17 Banana Fruit $2'116 28-01-16 United States
19 18 Banana Fruit $1'135 30-01-16 United Kingdom
20 19 Broccoli Vegetables $3'595 30-01-16 United Kingdom
21 20 Apple Fruit $1'161 02-02-16 United States
22 21 Orange Fruit $2'256 04-02-16 France
23 22 Banana Fruit $1'004 11-02-16 New Zealand
24 23 Banana Fruit $3'642 14-02-16 Canada
25 24 Banana Fruit $4'582 17-02-16 United States
26 25 Beans Vegetables $3'559 17-02-16 United Kingdom
27 26 Carrots Vegetables $5'154 17-02-16 Australia
28 27 Mango Fruit $7'388 18-02-16 France
29 28 Beans Vegetables $7'163 18-02-16 United States
30 29 Beans Vegetables $5'101 20-02-16 Germany
31 30 Apple Fruit $7'602 21-02-16 France
32 31 Mango Fruit $1'641 22-02-16 United States
33 32 Apple Fruit $8'892 23-02-16 Australia
34 33 Apple Fruit $2'060 29-02-16 France
35 34 Broccoli Vegetables $1'557 29-02-16 Germany
36 35 Apple Fruit $6'509 01-03-16 France
37 36 Apple Fruit $5'718 04-03-16 Australia
38 37 Apple Fruit $7'655 05-03-16 United States
39 38 Carrots Vegetables $9'116 05-03-16 United Kingdom
40 39 Banana Fruit $2'795 15-03-16 United States
41 40 Banana Fruit $5'084 15-03-16 United States
42 41 Carrots Vegetables $8'941 15-03-16 United Kingdom
43 42 Broccoli Vegetables $5'341 16-03-16 France
44 43 Banana Fruit $135 19-03-16 Canada
45 44 Banana Fruit $9'400 19-03-16 Australia
46 45 Beans Vegetables $6'045 21-03-16 Germany
47 46 Apple Fruit $5'820 22-03-16 New Zealand
48 47 Orange Fruit $8'887 23-03-16 Germany
49 48 Orange Fruit $6'982 24-03-16 United States
50 49 Banana Fruit $4'029 26-03-16 Australia
51 50 Carrots Vegetables $3'665 26-03-16 Germany
52 51 Banana Fruit $4'781 29-03-16 France
53 52 Mango Fruit $3'663 30-03-16 Australia
54 53 Apple Fruit $6'331 01-04-16 France
55 54 Apple Fruit $4'364 01-04-16 Canada
56 55 Carrots Vegetables $607 03-04-16 United Kingdom
57 56 Banana Fruit $1'054 06-04-16 New Zealand
58 57 Carrots Vegetables $7'659 06-04-16 United States
59 58 Broccoli Vegetables $277 12-04-16 Germany
60 59 Banana Fruit $235 17-04-16 United States
61 60 Orange Fruit $1'113 18-04-16 Australia
62 61 Apple Fruit $1'128 21-04-16 United States
63 62 Broccoli Vegetables $9'231 22-04-16 Canada
64 63 Banana Fruit $4'387 23-04-16 United States
65 64 Apple Fruit $2'763 25-04-16 Canada
66 65 Banana Fruit $7'898 27-04-16 United Kingdom
67 66 Banana Fruit $2'427 30-04-16 France
68 67 Banana Fruit $8'663 01-05-16 New Zealand
69 68 Carrots Vegetables $2'789 01-05-16 Germany
70 69 Banana Fruit $4'054 02-05-16 United States
71 70 Mango Fruit $2'262 02-05-16 United States
72 71 Mango Fruit $5'600 02-05-16 United Kingdom
73 72 Banana Fruit $5'787 03-05-16 United States
74 73 Orange Fruit $6'295 03-05-16 Canada
75 74 Banana Fruit $474 05-05-16 Germany
76 75 Apple Fruit $4'325 05-05-16 France
77 76 Banana Fruit $592 06-05-16 United States
78 77 Orange Fruit $4'330 08-05-16 United States
79 78 Banana Fruit $9'405 08-05-16 United Kingdom
80 79 Apple Fruit $7'671 08-05-16 France
81 80 Carrots Vegetables $5'791 08-05-16 United Kingdom
82 81 Banana Fruit $6'007 12-05-16 Canada
83 82 Banana Fruit $5'030 14-05-16 Germany
84 83 Carrots Vegetables $6'763 14-05-16 United Kingdom
85 84 Banana Fruit $4'248 15-05-16 Australia
86 85 Banana Fruit $9'543 16-05-16 France
87 86 Broccoli Vegetables $2'054 16-05-16 United Kingdom
88 87 Beans Vegetables $7'094 16-05-16 Germany
89 88 Carrots Vegetables $6'087 18-05-16 United States
90 89 Apple Fruit $4'264 19-05-16 Australia
91 90 Mango Fruit $9'333 20-05-16 United States
92 91 Mango Fruit $8'775 22-05-16 Germany
93 92 Broccoli Vegetables $2'011 23-05-16 United Kingdom
94 93 Banana Fruit $5'632 25-05-16 United States
95 94 Banana Fruit $4'904 25-05-16 New Zealand
96 95 Beans Vegetables $1'002 25-05-16 Australia
97 96 Orange Fruit $8'141 26-05-16 United Kingdom
98 97 Orange Fruit $3'644 26-05-16 Canada
99 98 Orange Fruit $1'380 26-05-16 Australia
100 99 Broccoli Vegetables $8'354 26-05-16 Germany
101 100 Banana Fruit $5'182 27-05-16 United States
102 101 Apple Fruit $2'193 27-05-16 France
103 102 Mango Fruit $3'647 28-05-16 United States
104 103 Apple Fruit $4'104 28-05-16 United States
105 104 Carrots Vegetables $7'457 28-05-16 United States
106 105 Mango Fruit $3'767 29-05-16 Canada
107 106 Broccoli Vegetables $4'685 30-05-16 Germany
108 107 Banana Fruit $3'917 04-06-16 United States
109 108 Apple Fruit $521 04-06-16 Canada
110 109 Apple Fruit $5'605 10-06-16 France
111 110 Broccoli Vegetables $9'630 11-06-16 Germany
112 111 Banana Fruit $6'941 20-06-16 Canada
113 112 Broccoli Vegetables $7'231 20-06-16 United Kingdom
114 113 Broccoli Vegetables $8'891 23-06-16 Australia
115 114 Banana Fruit $107 25-06-16 France
116 115 Banana Fruit $4'243 26-06-16 United States
117 116 Orange Fruit $4'514 27-06-16 United States
118 117 Mango Fruit $5'480 02-07-16 United States
119 118 Banana Fruit $5'002 02-07-16 France
120 119 Banana Fruit $8'530 05-07-16 Canada
121 120 Orange Fruit $4'819 07-07-16 New Zealand
122 121 Broccoli Vegetables $6'343 11-07-16 United Kingdom
123 122 Orange Fruit $2'318 13-07-16 United Kingdom
124 123 Orange Fruit $220 20-07-16 United Kingdom
125 124 Orange Fruit $6'341 20-07-16 New Zealand
126 125 Apple Fruit $330 20-07-16 Germany
127 126 Broccoli Vegetables $3'027 20-07-16 United Kingdom
128 127 Orange Fruit $850 22-07-16 New Zealand
129 128 Banana Fruit $8'986 23-07-16 United Kingdom
130 129 Broccoli Vegetables $3'800 25-07-16 United States
131 130 Carrots Vegetables $5'751 28-07-16 United Kingdom
132 131 Apple Fruit $1'704 29-07-16 United Kingdom
133 132 Banana Fruit $7'966 30-07-16 Australia
134 133 Banana Fruit $852 31-07-16 United States
135 134 Beans Vegetables $8'416 31-07-16 Australia
136 135 Banana Fruit $7'144 01-08-16 France
137 136 Broccoli Vegetables $7'854 01-08-16 United States
138 137 Orange Fruit $859 03-08-16 United States
139 138 Broccoli Vegetables $8'049 12-08-16 United States
140 139 Banana Fruit $2'836 13-08-16 Germany
141 140 Carrots Vegetables $1'743 19-08-16 United States
142 141 Apple Fruit $3'844 23-08-16 France
143 142 Apple Fruit $7'490 24-08-16 France
144 143 Broccoli Vegetables $4'483 25-08-16 Germany
145 144 Apple Fruit $7'333 27-08-16 Canada
146 145 Carrots Vegetables $7'654 28-08-16 United States
147 146 Apple Fruit $3'944 29-08-16 United Kingdom
148 147 Beans Vegetables $5'761 29-08-16 Germany
149 148 Banana Fruit $6'864 01-09-16 New Zealand
150 149 Banana Fruit $4'016 01-09-16 Germany
151 150 Banana Fruit $1'841 02-09-16 United States
152 151 Banana Fruit $424 05-09-16 Australia
153 152 Banana Fruit $8'765 07-09-16 United Kingdom
154 153 Banana Fruit $5'583 08-09-16 United States
155 154 Broccoli Vegetables $4'390 09-09-16 New Zealand
156 155 Broccoli Vegetables $352 09-09-16 Canada
157 156 Apple Fruit $8'489 11-09-16 United States
158 157 Banana Fruit $7'090 11-09-16 France
159 158 Banana Fruit $7'880 15-09-16 United States
160 159 Orange Fruit $3'861 18-09-16 United States
161 160 Broccoli Vegetables $7'927 19-09-16 Germany
162 161 Banana Fruit $6'162 20-09-16 United States
163 162 Mango Fruit $5'523 25-09-16 Australia
164 163 Broccoli Vegetables $5'936 25-09-16 United Kingdom
165 164 Carrots Vegetables $7'251 26-09-16 Germany
166 165 Orange Fruit $6'187 27-09-16 Australia
167 166 Banana Fruit $3'210 29-09-16 Germany
168 167 Carrots Vegetables $682 29-09-16 Germany
169 168 Banana Fruit $793 03-10-16 Australia
170 169 Carrots Vegetables $5'346 04-10-16 Germany
171 170 Banana Fruit $7'103 07-10-16 New Zealand
172 171 Carrots Vegetables $4'603 10-10-16 United States
173 172 Apple Fruit $8'160 16-10-16 France
174 173 Apple Fruit $7'171 23-10-16 United Kingdom
175 174 Banana Fruit $3'552 23-10-16 New Zealand
176 175 Banana Fruit $7'273 25-10-16 Australia
177 176 Banana Fruit $2'402 26-10-16 Germany
178 177 Banana Fruit $1'197 26-10-16 Australia
179 178 Beans Vegetables $5'015 26-10-16 Australia
180 179 Orange Fruit $5'818 02-11-16 United States
181 180 Banana Fruit $4'399 03-11-16 United Kingdom
182 181 Carrots Vegetables $3'011 03-11-16 United States
183 182 Apple Fruit $4'715 09-11-16 United Kingdom
184 183 Apple Fruit $5'321 12-11-16 France
185 184 Banana Fruit $8'894 15-11-16 United States
186 185 Carrots Vegetables $4'846 25-11-16 United Kingdom
187 186 Broccoli Vegetables $284 25-11-16 Germany
188 187 Orange Fruit $8'283 26-11-16 United Kingdom
189 188 Orange Fruit $9'990 28-11-16 Canada
190 189 Banana Fruit $9'014 28-11-16 Australia
191 190 Apple Fruit $1'942 29-11-16 France
192 191 Banana Fruit $7'223 30-11-16 United States
193 192 Carrots Vegetables $4'673 02-12-16 United States
194 193 Carrots Vegetables $9'104 04-12-16 France
195 194 Apple Fruit $6'078 05-12-16 United States
196 195 Beans Vegetables $3'278 06-12-16 Germany
197 196 Banana Fruit $136 12-12-16 Canada
198 197 Banana Fruit $8'377 12-12-16 Australia
199 198 Banana Fruit $2'382 12-12-16 United States
200 199 Banana Fruit $8'702 15-12-16 Germany
201 200 Banana Fruit $5'021 16-12-16 United States
202 201 Apple Fruit $1'760 16-12-16 Australia
203 202 Banana Fruit $4'766 18-12-16 Germany
204 203 Beans Vegetables $1'541 19-12-16 United Kingdom
205 204 Orange Fruit $2'782 20-12-16 United Kingdom
206 205 Apple Fruit $2'455 20-12-16 Canada
207 206 Apple Fruit $4'512 22-12-16 New Zealand
208 207 Apple Fruit $8'752 22-12-16 Germany
209 208 Carrots Vegetables $9'127 25-12-16 United States
210 209 Apple Fruit $1'777 28-12-16 France
211 210 Beans Vegetables $680 28-12-16 France
212 211 Orange Fruit $958 29-12-16 United States
213 212 Carrots Vegetables $2'613 29-12-16 Australia
214 213 Carrots Vegetables $339 30-12-16 Australia