# Unemployment Rate: African American Men 20+

Why Use This Data Source In Your Models?

The unemployment rate for african american & black men 20 years and over measures the share of the labor force that is above 20 years old, male, and african american or black that is jobless in the US. This is indicative of GDP levels and long-term economic health.

Unemployment Rate: African American Men 20+

## 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 Arcsin 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.

Following first order differencing, no further differencing is required based on the differenced ACF at lag one of -0.07

### Trend Analysis:

The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.33 p-value = 0.01 indicates that the data is not stationary.

### Distribution Analysis:

The Shapiro-Wilk test returned W = 0.93 with a p-value =0.00 indicating the data does not follow a normal distribution.

A skewness score of 0.45 indicates the data are fairly symmetrical.

Hartigan's dip test score of 0.03 with a p-value of 0.76 inidcates the data is unimodal

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

No transform
3.17
Box-cox
3.65
Log_b(x-a)
3.17
sqrt(x+a)
3.97
exp(x)
72.74
arcsinh(x)
3.17
Yeo-Johnson
3.65
OrderNorm
0.15

Auto Correlation Function

Auto Correlation Function After Differencing

Partial Auto Correlation Function

Seasonal Impact

Seasonal and Trend Decompostion

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