DATA ANALYSIS IS THE KEY TO SUCCESS.

Here is an example of Data Analysis using PANDA'S. In Python, there are several tools for the Quality Team, which analyse for you and therefore navigate and prognosis in a better way.

An example is here :

the plot:

1. Latitude vs. Longitude: There’s a clear clustering pattern in the data, likely reflecting California's geography, as these attributes show specific ranges that form dense clusters. It appears that certain areas have higher median house values.
2. Median Income vs. Median House Value: There is a positive correlation between median income and median house value. Higher-income areas tend to have higher house prices, which is a commonly observed trend in housing data.
3. Total Rooms, Bedrooms, Population, and Households: These variables show similar distribution patterns, indicating that they’re related to one another. Higher values in one of these attributes generally correlate with higher values in the others, but they don’t show strong direct correlations with median house value.
4. Ocean Proximity: This categorical feature is shown with color variations but doesn't directly correlate with house prices in a clear linear way. However, specific ocean proximity values may be associated with distinct clusters.

this was made with Python in 30 minutes.

Thanks to this, we no longer need an analyst, we can use Python to guide us, without delay !!!

SO LEARN PYTHON TODAY!