READY SIGNAL CONTROL DATA

Currently ICU (State)

Why Use This Data Source In Your Models?

The COVID‑19 pandemic is an ongoing global pandemic of coronavirus disease 2019 (COVID‑19), caused by severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2). From the business focused data scientist there are three main measures to inform the economic impact- cases diagnosed, available hospital beds and recovered cases.

Currently ICU (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, seasonality and a non-normal distribution. The data should be differenced and seasonally adjusted. While the Square Root transformation, provides the best normality, the Boxcox variable will also perform well.

Grain Transformation:

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

Source:
The COVID Tracking Project

Release:
COVID-19 Currently ICU (State)

Units:
Persons

Frequency:
Daily

Available Through:
03/07/2021

Suggested Treatment:

The data shows auto correlation, seasonality and a non-normal distribution. The data should be differenced and seasonally adjusted. While the Square Root transformation, provides the best normality, the Boxcox variable will also perform well.

Grain Transformation:

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

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 = 0.08 p-value = 0.10 indicates that the data is stationary.

Distribution Analysis:

The Shapiro-Wilk test returned W = 0.97 with a p-value =0.03 indicating the data does not follow a normal distribution.

A skewness score of 0.08 indicates the data are fairly symmetrical.

Hartigan's dip test score of 0.04 with a p-value of 0.22 inidcates the data is unimodal

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

No transform
1.31
Box-cox
1.28
Log_b(x-a)
1.29
sqrt(x+a)
1.25
exp(x)
NA
arcsinh(x)
1.29
Yeo-Johnson
1.28
OrderNorm
1.35

Auto Correlation Function

Auto Correlation Function After Differencing

Partial Auto Correlation Function


Data Notes:

As of March 7, 2021 The COVID Tracking Project are no longer collecting new data

Citation:

The COVID Tracking Project, Data API; https://covidtracking.com/data/api, Retrieved daily.

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