Helping you grow your data career
Atlanta, Georgia
Joined June 2022
- Tweets265
- Following48
- Followers135
- Likes388
DataInMotion retweeted
Today, I began solving the SQL challenges on Data In Motion. It is important to keep your skills sharp, like a knife. Remember, those who don't practice, tend to forget. This is the first challenge, thanks to @LLCdatainmotion . My solution is on my GitHub github.com/rrssJavier
DataInMotion retweeted
Try it out:
import sweetviz as sv
import pandas as pd
data = pd.read_csv ("sample_data.csv" )
report = sv.analyze(data)
report. show_html ("report.html")
#python #eda #dataanalytics @LLCdatainmotion
DataInMotion retweeted
Started my #python weekly challenge by @LLCdatainmotion
Week 1
#datascience #DataEngineering
Here is the link to my work:
colab.research.google.com/dr…
DataInMotion retweeted
Continuing the learning, here is my #Python code for @LLCdatainmotion Python Coding Challenge. The following code is to capitalize the first letter of the string input by the user. I particularly liked the intuitive method of string slicing!
DataInMotion retweeted
Decided to try out my SQL skills with Tinyshop sales @LLCdatainmotion
I don't say what I can do, I show you what I have done and can do.
"I am a doer"
linkedin.com/posts/prince-og…
DataInMotion retweeted
This is my entry for Week 5 of @LLCdatainmotion Python Challenge. The question was to create a function that takes in the current mood and returns a sentence in the following format: “Today, I am feeling {mood}”. If no argument is passed, return “Today, I am feeling neutral”.
DataInMotion retweeted
This is my entry for Week 7 of @LLCdatainmotion Python Challenge. I have been really learning a lot through this challenge and I can't wait to solve some more!
DataInMotion retweeted
Another week, another @LLCdatainmotion data analysis challenge. For Week 19, I worked on some roller coaster data. The great thing about these challenges is seeing how much faster I'm getting at answering these questions: kaggle.com/code/christmastwi…
DataInMotion retweeted
Q #1
I knew I had to use lag and lead to compare records from before and after to find consecutive visits, but I wasn't of the most efficient method. I went with the use of "Case" for this one to cover the 3 possibilities.
Q#2
Pretty straight forward.
@LLCdatainmotion
DataInMotion retweeted
Here's the results of my Week 18 Data Analysis Challenge for @LLCdatainmotion: kaggle.com/code/christmastwi…. This week was a lot of visualizations, and I found myself flexing between the built in pandas plotting and Seaborn, mostly depending on what I knew how to do easily.
DataInMotion retweeted
Day 20 -: (19/4)
. Done some questions on python conducted by @LLCdatainmotion #week35
DataInMotion retweeted
@LLCdatainmotion
#Week35 #SQLchallenge
q1) 601. Human Traffic of Stadium
q2) 1757. Recyclable and Low Fat Products
DataInMotion retweeted
Day17-:
.Practised Python language using @LLCdatainmotion Weekly challenge.
#week34
#Python
#DataStructures
#30DaysOfCode
#100DaysOfCode
DataInMotion retweeted
For the first solution I knew that I had to create a brand new column so I went with the "Case" approach. For the second solution I used a simple "Where" statement meet the conditions. @LLCdatainmotion
DataInMotion retweeted
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DataInMotion retweeted
The first question to ask with data engineering initiatives is, “Why am I gathering this data?” The answer must be connected to increases in revenue, cost savings, or productivity. Gathering first and monetizing later leads to a lot of waste.
DataInMotion retweeted
@LLCdatainmotion
#Week34
#SQLchallenge
q1) 1873. Calculate Special Bonus
q2) 1978. Employees Whose Manager Left the Company
