Data Services In Cleveland OH At NW Database Services

Information About Data Cleaning

There Are Two Types Of Outliers

• Univariate outliers are extreme values that only relate to one variable. Sultan Kosen, who stands 8 feet, 2.8 inches (251 cm) tall, is the current tallest man in the world. This case is a rare univariate exception because it has one factor, height.
• Multivariate outliers are combinations of extreme or unusual values for at most two variables. If you look at the height and weight of an adult group, you may notice that one person is 5ft 9ins tall. This measurement would be within the normal range of this variable. This person might also be 110 lbs. This observation is within the normal range of the variable of interest, weight. These two observations are combined to create an adult who stands 5ft 9inches tall and is 110lbs. This is a remarkable combination. This is a multivariate outlier.

Outliers can be classified as any one of the following:

• Global outliers, also known as point outliers, are data points that lie far from the rest.
• Contextual outliers, also known as conditional or outliers, are values that significantly differ from the rest of data points in the same context. This means that a value that occurred in a different context may not be considered outlier. This category is often found in time series data.
• Collective outliers can be described as a subset or group of data points that is completely different from the whole dataset.
  We now know what an outlier looks like, so let’s see how they end up in data sets.

How Can Outliers Get Into Datasets?

After we have learned what outliers look like and how to identify them it is worth asking how they end up in data sets in the first place.
Here are some common reasons for outliers in data:

• Human error when manually entering data, such a typo
• Intentional errors such as dummy-outliers in a dataset used to test detection methods
• Sampling errors are caused by the extraction or mixing of data from incorrect or multiple sources
• Data processing errors can result from data manipulation or unintended modifications to a dataset.
• Instrumental error can cause measurement errors
• Experiment planning and execution errors can result from data extraction or experiment planning.
• Natural outliers are those that occur naturally in the data, and not because of any error. These errors are called novelties.

How Do You Spot Outliers?

It is possible to spot outliers in small datasets. For example, if you have 28 26, 21, 24, and 78 data sets, you can see that the outlier is 78. However, when dealing with large datasets or big-data, additional tools are needed.

Northwest Database Services has 34+ years experience with all types of data services, including mail presorts, NCOA, and data deduplication. If your database systems are not returning poor data, it is definitely time for you to consult with a data services specialist. We have experience with large and small data sets. Often, data requires extensive manipulation to remove corrupt data and restore the database to proper functionality. Call us at (360)841-8168 for a consultation and get the process of data cleaning started as soon as possible.

NW Database Services
404 Insel Rd
Woodland WA 98674
(360)841-8168

Officially known as Cleveland, the City of Cleveland is a U.S. city and the county seat of Cuyahoga County. It is located in the northeastern region of the state and can be found along the southern shores of Lake Erie. This city is approximately 60 miles (97km) west of Pennsylvania.

History

General Moses Cleaveland founded Cleveland in 1796 at the Cuyahoga River mouth. The city is named after him. Because it was located on both the riverbank and lake shore, it became a major industrial and commercial center that attracted large numbers of migrants and immigrants. Cleveland, a port city is connected to the Atlantic Ocean by the Saint Lawrence Seaway.

Climate

Cleveland, typical of the Great Lakes region has a continental climate that includes four seasons. It is located in the humid continental zone. The climate is transitional, with the Cfa humid tropical climate. The summers are hot and humid and the winters are cold, snowy and cold. The Lake Erie shoreline runs east-west from Sandusky to the mouth Cuyahoga, but it curves sharply northeast at the Cuyahoga mouth.

Demographics

The 2020 census showed that there were 372,624 residents and 170,549 households within the city. The population density was 4,901.51 people per square mile (1.892.5/km2).

Transportation

Cleveland has a higher percentage than the national average of households that don’t have a car. The national average of 8.7 percent was 9.7 percent. In Cleveland, 23.7 percent of households did not have a car in 2016. Cleveland had an average of 1.19 cars per household in 2016 compared with a national average average of 1.8. Cleveland’s urban density, like other major cities, reduces the need to own a private car. However, as more jobs are created in urban areas across the United States connectivity is becoming increasingly difficult for public transit systems including RTA.

Top Businesses

Its central location on Lake Erie and the Cuyahoga River has played a key role in its growth. It was made a major business hub by the Ohio and Erie Canal, along with its rail connections. The city was a leader in steel and other manufactured goods. Since then, the city has diversified its economy beyond its manufacturing sector.

Cleveland OH Map