READY SIGNAL CONTROL DATA

GDP by State

Why Use This Data Source In Your Models?

Real GDP by state describes the economic output of each US state each year. This is indicative of recessions, wages, & the employment situation of the state.

GDP by State

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Automated Data Profiling

Ready Signal automatically profiles each data set and offers up suggested industry standard data science treatments to utilize with these data in your models.

Suggested Treatment:

The data shows auto correlation and seasonality. The data should be differenced and seasonally adjusted.

Grain Transformation:

Data is able to be distributed by time and geography. The roll up method used is Sum.

Auto Correlation Analysis:

Data shows auto correlation indicating a need for differencing

The ACF indicates 1 order differencing is appropriate.

Following first order differencing, no further differencing is required based on the differenced ACF at lag one of -0.49

Trend Analysis:

The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.15 p-value = 0.05 indicates that the data is not stationary.

Distribution Analysis:

The Shapiro-Wilk test returned W = 0.96 with a p-value =0.84 indicating the data follows a normal distribution.

A skewness score of 0.13 indicates the data are fairly symmetrical.

Hartigan's dip test score of 0.08 with a p-value of 0.92 inidcates the data is unimodal

Statistics (Pearson P/ df, lower => more normal)

No transform

0.27

Box-cox

0.27

Log_b(x-a)

0.27

sqrt(x+a)

0.27

exp(x)

arcsinh(x)

0.27

Yeo-Johnson

0.27

OrderNorm

0.27

Auto Correlation Function

Auto Correlation Function After Differencing

Partial Auto Correlation Function

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