Column

Chart A

  Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1          5.1         3.5          1.4         0.2  setosa
2          4.9         3.0          1.4         0.2  setosa
3          4.7         3.2          1.3         0.2  setosa
4          4.6         3.1          1.5         0.2  setosa
5          5.0         3.6          1.4         0.2  setosa
6          5.4         3.9          1.7         0.4  setosa

row

150

'data.frame':   150 obs. of  5 variables:
 $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
 $ Sepal.Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
 $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
 $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
 $ Species     : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...

interactive visualization

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             vars   n mean   sd median trimmed  mad min max range  skew
Sepal.Length    1 150 5.84 0.83   5.80    5.81 1.04 4.3 7.9   3.6  0.31
Sepal.Width     2 150 3.06 0.44   3.00    3.04 0.44 2.0 4.4   2.4  0.31
Petal.Length    3 150 3.76 1.77   4.35    3.76 1.85 1.0 6.9   5.9 -0.27
Petal.Width     4 150 1.20 0.76   1.30    1.18 1.04 0.1 2.5   2.4 -0.10
Species*        5 150 2.00 0.82   2.00    2.00 1.48 1.0 3.0   2.0  0.00
             kurtosis   se
Sepal.Length    -0.61 0.07
Sepal.Width      0.14 0.04
Petal.Length    -1.42 0.14
Petal.Width     -1.36 0.06
Species*        -1.52 0.07

plotly

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data table* ===============
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======================= pivot table =========================

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statistics

5.84" class="section level2">

5.84

Min. :4.300 " class="section level2">

Min. :4.300

0.871753775886583" class="section level2">

0.871753775886583

4.30660341504758 0.22090539666077 -71.5659253183152 2 4.87909460333923 0 -12.2474487139159 1.08164965809277 1 1e-07 2 148 lm ~ 5.1 1.4 " class="section level2">

4.30660341504758 0.22090539666077 -71.5659253183152 2 4.87909460333923 0 -12.2474487139159 1.08164965809277 1 1e-07 2 148 lm ~ 5.1 1.4



Call:
lm(formula = iris$Sepal.Length ~ iris$Petal.Length, data = iris)

Residuals:
     Min       1Q   Median       3Q      Max 
-1.24675 -0.29657 -0.01515  0.27676  1.00269 

Coefficients:
                  Estimate Std. Error t value Pr(>|t|)    
(Intercept)        4.30660    0.07839   54.94   <2e-16 ***
iris$Petal.Length  0.40892    0.01889   21.65   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 0.4071 on 148 degrees of freedom
Multiple R-squared:   0.76, Adjusted R-squared:  0.7583 
F-statistic: 468.6 on 1 and 148 DF,  p-value: < 2.2e-16

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