Data Services In Glendale AZ At NW Database Services
Data Cleaning, Data Cleansing, Data Scrubbing, Deduplication, Data Transformation, NCOA, Mail PreSorts, Email Verification, Email Append, & Phone Append Services in Glendale Arizona
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Northwest Database Services is a full-spectrum data service that has been performing data migration, data scrubbing, data cleaning, and de-duping data services for databases and mailing lists, for over 34 years. NW Database Services provides data services to all businesses, organizations, and agencies in Glendale AZ and surrounding communities.
What We Do
When you need your data to speak to you regarding your business’s trends, buying patterns or just whether or not your customers are still living.
We provide data transformation services for Extract, Transform and Load (ETL) operations typically used in data migration or restoration projects.
Duplication of data plagues every database and mailing list. Duplication is inevitable, constantly keeps growing and erodes the quality of your data.
Direct Mail - Presorts
It’s true the United States Postal Service throws away approximately thirty five percent of all bulk mail every year! Why so much? Think: “Mailing list cleanup.
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Woodland, WA 98674
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Information About Data Cleaning And Data Services
These Are Five Common Types of Data Visualizations (And When They Should Be Used).
This section will introduce you to some types of data visualization. You can also refer to our comprehensive guide to learn more about data visualization and how to use them.
Scatterplots, or scatter graphs, visualize the relationship between two variables. The x-axis shows one variable, while the y-axis shows the other. Each data point is represented as a single “dot” on the graph. This creates a scatter effect, hence the name.
When there is no temporal component, scatterplots work best for large datasets. A scatterplot can be used to visualize relationships between height and weight or the value of a diamond in terms of its carats and its monetary value. Remember that scatterplots only describe the relationship between two variables. They don’t infer any cause-and-effect relationship.
Bar charts can be used to compare categorical data with discrete values. Categorical data is data that doesn’t have a numeric value. It is often used to identify certain traits and characteristics. Categorical data can be used to describe things such as education level (e.g. High school, post-graduation, or undergrad) as well as age (e.g. Under 30, 40, 50, 50, 50, and 50 years old. Discrete values can only be taken on certain values. There are no “half measures” and “gray areas”. A discrete variable could be the number or attendees at an event, or the sales in a given time period. (Think about it: You can’t make half a sale, or have half the event attendees.)
Pie charts can be used to visualize categorical data in the same way as bar charts. Pie charts, on the other hand, can be used to visualize a single variable, broken down into percentages and proportions. Bar charts, however, represent many types of data. A pie chart is basically a circle divided into “slices”, with each slice representing the percentage of the total. The size of each slice is proportional the amount it contributes to the “pie.”
Some data are too complex to be summarized in a pie or bar chart. There are many data visualizations available for complex datasets. One example is network graphs. Network graphs are a way to see how elements or entities in a network interact with one another. Each element is represented by a node. These nodes can be connected via lines to other related nodes.
Maps of the World
Geo maps can be used to visualize data distribution in relation to a geographical area. A color-coded map could be used to show the distribution of natural oil reserves around the globe or how states voted in an election. Maps can be used to communicate all types of location-related data.
Material for this article originally appeared on Career Foundry.
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
City of Glendale AZ Information
Glendale, Arizona, United States is located 9 miles (14km) northwest of Downtown Phoenix. It had 248,325 people as of the 2020 census.
The area now known as Glendale was deserted in the late 1800s. William John Murphy, a New Hartford, New York native, was responsible for building the Arizona Canal, which ran 40 miles (64 km) from Granite Reef to New River. He was also the founder of the Arizona Canal Company. He completed the canal in 1885. It would bring water to desert land. Murphy was deeply in debt because he had signed to receive payment in stock, bonds, and land from the Arizona Canal Company instead of cash.
Glendale’s summers can be hot and dry. The winters are mild and clear. The temperature is usually between 44 and 106 degrees F throughout the year. It rarely drops below 36 or rises above 112 degrees F.
The city had 226,710 residents, 79,114 households and 54,721 family members as of 2010. The density of the population was 3,929.5 people per square mile (1.517.2/km2). The average housing unit density was 1,430.7/square mile (5522.4/km2). There were 79.667 units. The city’s racial makeup was 75.54% white, 6% Black or African American and 1.7% Native American. There were also 0.2% Pacific Islander, 3.9% Asian, 0.2% Pacific Islander and 16.95% of other races. 4.0% came from more than one race. 35.5% were Hispanics or Latinos of any race.
Glendale has an average proportion of households that don’t have a car. Glendale’s average household without a car was 8.4 percent in 2015. This figure rose slightly to 9.4 percent in 2016. In 2016, the national average was 8.7 %. Glendale had an average of 1.72 cars per household in 2016 compared with a national average 1.8.
Glendale Municipal Airport is the closest commercial airport to the city. Phoenix Sky Harbor International Airport is approximately 30 minutes by car from the closest commercial airport.