Data Services In Las Cruces NM At NW Database Services

Data Cleaning Tools

We’ve now covered the steps involved in data cleaning. It’s obvious that this is not an easy task. What tools are available to help you? It depends on the data and systems you are using. Here are some tools that you can use to start to understand the basics.

Microsoft Excel

Since its inception in 1985, MS Excel has been a standard part of computing. It is still a very popular data-cleansing tool, regardless of how you feel about it. Excel has many functions that automate data cleaning, including replacing numbers and text with deduping, shaping columns and rows, and combining data from multiple cells. Excel is also easy to use, making it the first choice for data analysts new to the field.

Programming Languages

Data cleaning can often be automated using scripts. Excel has pre-existing functions that can accomplish this. To run specific batch processing tasks (tasks that are performed without the need for user interaction) on large and complex data sets, you will often have to write your own scripts. This can be done using programming languages such as Python, Ruby, SQL or–if your coding skills are really sharp–R. R is more complicated but also more flexible. These scripts can be written by data analysts who are more skilled, but there are many libraries that already exist. Python has many data cleaning libraries, including Pandas and NumPy, that can speed up this process.

Visualizations

Data visualizations are a great way to spot errors in your data. A bar plot, for example, is a great way to visualize unique values. It might also help you spot a category that was labeled in different ways (like the earlier example of Iron’ or Fe). Scatter graphs are also useful in identifying outliers, so you can examine them further and remove them if necessary.

Last Thoughts

• Data cleaning is the most critical part of data analytics. Data hygiene doesn’t only pertain to data analytics. It’s also a good idea to regularly update and maintain your data. Clean data is an essential tenet in data analytics, and data science as a whole.
  This post reveals that:
• Data analytics is a hugely important process that requires clean data. Using poor data will result in flawed insights. It is said that garbage in, garbage out.
• Data cleaning can be time-consuming. This is why it is worth the time. Data analysts can spend 60 to 80% of their time cleaning up data.
• Data cleaning can be a complicated process. It involves removing outliers, correcting structural errors, standardizing and validating your results. This is not an easy or quick task.

There are many tools available to assist you. You can also find many proprietary software tools.

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

Las Cruces, the second-largest U.S. city in New Mexico, is also the seat of Dona Ana County. The population was 111.385 at the 2020 census. Las Cruces is the largest municipality in southern New Mexico and Dona Ana County. In 2017, the population of Las Cruces was 213,849 It is the capital city of a metropolitan area that encompasses all Dona Ana County.

History

Las Cruces began a major urban renewal project in the 1960s to transform the downtown. 115 St. Genevieve’s Catholic Church was demolished to make way to a downtown pedestrian mall. 44, 75 and 115 The original covered walkways were removed to make way for a traditional main street.

Climate

Las Cruces has a desert climate. Winters are a mix of colder, windier, and more sunny weather due to troughs and frontal passages. Light freezes happen on average every 69 nights. Windy spring months can cause windy periods, especially in the afternoons. This can lead to dust storms and blowing dust, which can sometimes last for a few hours. Summers start with the hottest temperatures of the year. There are some prolonged periods of over 100 degrees Fahrenheit or 37.8 degrees Celsius temperatures. The second half of summer is marked by increased humidity, frequent afternoon thunderstorms, and slightly lower temperatures. Autumns are marked by decreasing precipitation and temperatures.

Demographics

According to 2019 estimates, Las Cruces was home to 103,432. Its demographics included 32.5% Non-Hispanic white, 2.8% African American/Black, 1.4% Native American and 1.8% Asian. 0.0% Native Hawaiian/Pacific Islander, 2.9% Two to More Races, 60.5% Hispanic/Latino of any race. The average household size was 2.51 and there were 39,925 households. The median household income was $43,022, while the poverty rate was 23.6%.

Transportation

RoadRUNNER Transit is a local transit authority. RoadRUNNER Transit has eight routes and two Aggie routes that run Monday through Saturday. Sunday service is not available. Adult fare for those aged 19 to 59 is $1.00. Senior citizens (60+), students, people with disabilities, medicare recipients, and youth aged 6-18 pay $0.50. Children aged 5 and under do not have to pay. The active fleet consists of three Nova Bus RTS (2000 model year) and 11 Gillig Advantage (2004 and 2008 model years) transit buses, all of which are 35 feet (11 m) long and wheelchair-accessible.

Top Businesses

Las Cruces is home to New Mexico State University, Las Cruces Public Schools and the City of Las Cruces.

Las Cruces NM Map