READY SIGNAL CONTROL DATA

Civilian Unemployment Rate by State - Seas Adj

Why Use This Data Source In Your Models?

The unemployment rate by US state measures the share of the labor force that is jobless in each US state. This is indicative of GDP levels and long-term economic health.

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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 a non-normal distribution. The data should be differenced. While the Order Norm transformation, provides the best normality, the Log variable will also perform well.

Grain Transformation:

Data is unable to be distributed by time or geography. The roll up method used is Weighted Average.

Auto Correlation Analysis:

Data shows auto correlation indicating a need for differencing

The ACF indicates 1 order differencing is appropriate.

Further differencing is reccommended

Trend Analysis:

The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.27 p-value = 0.01 indicates that the data is not stationary.

Distribution Analysis:

The Shapiro-Wilk test returned W = 0.81 with a p-value =0.00 indicating the data does not follow a normal distribution.

A skewness score of 1.79 indicates the data are substantially skewed.

Hartigan's dip test score of 0.05 with a p-value of 0.04 inidcates the data is multimodal

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

No transform

9.01

Box-cox

5.42

Log_b(x-a)

4.86

sqrt(x+a)

7.36

exp(x)

139.67

arcsinh(x)

6.24

Yeo-Johnson

5.42

OrderNorm

0.55

Auto Correlation Function

Auto Correlation Function After Differencing

Partial Auto Correlation Function

Seasonal Impact

Seasonal and Trend Decompostion

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