Published
Edited
Jul 11, 2018
4 forks
7 stars
sample_dataset_emails_per_day
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
plt5 = stdlib.plot({
'x': [ /* insert your `n` values */ ], // e.g., 'x': [ n ]
'y': [ /* insert your sample mean values */ ], // e.g., 'y': [ mu ]
'xLabel': 'n',
'yLabel': 'sample mean',
'yMin': 0.0,
'width': 600
})
'<your_code_here>'
plt6 = stdlib.plot({
'x': [ /* insert your `x` values */ ], // e.g., 'x': [ stdlib.linspace(1,10000,10000) ]
'y': [ /* insert your random values */ ], // e.g., 'y': [ rvs ]
'xLabel': 'x',
'yLabel': 'y',
'yMin': -10.0,
'yMax': 30.0,
'width': 600
})
'<your_code_here>'
'<your_code_here>'
plt8 = stdlib.plot({
'x': [ /* insert your `n` values */ ], // e.g., 'x': [ n ]
'y': [ /* insert your sample mean values */ ], // e.g., 'y': [ mu ]
'xLabel': 'n',
'yLabel': 'sample mean',
'width': 600
})
'<your_code_here>'
plt9 = stdlib.plot({
'x': [ /* insert your `x` values */ ], // e.g., 'x': [ x ]
'y': [ /* insert your PDF values */ ], // e.g., 'y': [ pdf ]
'xLabel': 'x',
'yLabel': 'pdf',
'yMin': 0.0,
'width': 600
})
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
dataset_page1 = [
1, 0, 0, 0, 0, 0, 1, 0, 0, 1,
0, 0, 0, 1, 0, 0, 0, 1, 0, 0,
0, 1, 1, 0, 0, 0, 0, 0, 0, 0
]
dataset_page2 = [
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0
]
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
pltc3 = stdlib.plot({
'x': [ /* insert your `x` values */ ], // e.g., 'x': [ stdlib.linspace(0,1,n1), stdlib.linspace(0,1,n2) ]
'y': [ /* insert your pseudorandom numbers */ ], // e.g., 'y': [ sorted_dataset1, sorted_dataset2 ]
'xLabel': 'proportion',
'yLabel': 'converted',
'yMin': -0.1,
'yMax': 1.1,
'width': 600
})
'<your_code_here>'
pltc4 = stdlib.plot({
'x': [ /* insert your `|p1-p2|` values */ ], // e.g., 'x': [ delta_p ]
'y': [ /* insert your lengths */ ], // e.g., 'y': [ n ]
'xLabel': 'Δp',
'yLabel': 'n',
'xMin': 0.0,
'xMax': 1.0,
'yMin': 0,
'width': 600,
'lineStyle': [ 'none' ],
'symbols': [ 'open-circle' ]
})
'<your_code_here>'
plt22 = stdlib.plot({
'x': [ /* insert your `x` values */ ], // e.g., 'x': [ stdlib.linspace(-10,10,n) ]
'y': [ /* insert your pseudorandom numbers */ ], // e.g., 'y': [ rvs ]
'xLabel': 'x',
'yLabel': 'y',
'width': 600
})
'<your_code_here>'
'<your_code_here>'
pltc5 = stdlib.plot({
'x': [ /* insert your `n` values */ ], // e.g., 'x': [ stdlib.linspace(1,n,n) ]
'y': [ /* insert your proportions */ ], // e.g., 'y': [ y ]
'xLabel': 'n',
'yLabel': 'proportion',
'width': 600,
'yMin': 0.0,
'yMax': 1.1,
'lineStyle': [ 'none' ],
'symbols': [ 'open-circle' ]
})
'<your_code_here>'
'<your_code_here>'
plt25 = stdlib.plot({
'x': [ /* insert your `x` values */ ], // e.g., 'x': [ stdlib.linspace(-10,10,n) ]
'y': [ /* insert your pseudorandom numbers */ ], // e.g., 'y': [ rvs ]
'xLabel': 'x',
'yLabel': 'y',
'width': 600
})
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
'<your_code_here>'
plt34 = stdlib.plot({
'x': [ /* insert your `x` values */ ], // e.g., 'x': [ stdlib.linspace(1,1066,1066), stdlib.linspace(1,1066,1066) ]
'y': [ /* insert your y values and p-values */ ], // e.g., 'y': [ line_with_slope_alpha_over_m, pvals ]
'xLabel': 'x',
'yLabel': 'P_k',
'width': 600
})
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