READY SIGNAL CONTROL DATA

Rental Vacancy Rate by State

Why Use This Data Source In Your Models?

Rental vacancy rate measures the rate at which rental homes are vacant in each US state. This is indicative of overall economic health as well as desire to rent in the 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 seasonality. The data should be adjusted. While the Yeo Johnson transformation, provides the best normality, the Order Norm 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 does not show strong auto correlation indicating no need for differencing

The ACF indicates 0 order differencing is appropriate.

Following first order differencing, no further differencing is required based on the differenced ACF at lag one of -0.18

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 = 0.92 with a p-value =0.39 indicating the data follows a normal distribution.

A skewness score of 0.51 indicates the data are moderately skewed.

Hartigan's dip test score of 0.10 with a p-value of 0.45 inidcates the data is unimodal

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

No transform

3.47

Box-cox

3.47

Log_b(x-a)

3.47

sqrt(x+a)

3.47

exp(x)

3.47

arcsinh(x)

3.47

Yeo-Johnson

1.87

OrderNorm

2.27

Auto Correlation Function

Auto Correlation Function After Differencing

Partial Auto Correlation Function

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Data Ingestion

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