Switch to Woori Bank Money Clip Passbook, your first step to wealth

MoneyClip, a parking passbook that'll melt your heart in the coldest weather!
In this economy, we can all relate to wishing our money would grow a little faster. If only we could earn the price of a cup of coffee every day. Today, we're going to make that wish a reality with theWoori Bank Money Clip PassbookI'd like to introduce you to (mobile-only link).
With attractive interest rates, especially for parking passbooks, they're a great way to get started on the path to wealth. Here's a quick rundown of how to use them, where to apply, and some code to visualize them in Python, so don't miss it!
1. Why should your parking passbook be Moneyclip?

Woori Bank MoneyClip Passbook is more than just an account to store money.
- Wallet services: You can earn a rate of 1.51 TP3T per annum for depositing just one day.
- Vault Services: Offers a maximum rate of 2.5% per annum for deposits of 31 days or more.
- Free deposits and withdrawals: You can take as much as you want, when you want, and put it right back in.
Example
- If you deposit 1 million won in a safe for 2 months, you'll earn 4,166 won in interest.
- If you keep the same money in your wallet, you'll earn 41 cents a day in interest.
2. Woori Bank Money Clip Passbook Product Description

The Woori Bank Money Clip Passbook is an innovative financial product that allows you to enjoy the benefits of both utilization of funds and interest rates. In particular, it optimizes interest rates and services according to the purpose and duration of your deposit, so you can use it flexibly to meet various financial situations.
Product Features
- Free deposits and withdrawals:
- MoneyClip Passbook is a savings account that allows you to deposit or withdraw as much as you need, whenever you need it.
- You can divide your funds into wallets and vaults, so you can keep your short-term and long-term goals separate.
- Offer differentiated rates:
- For short-term deposits, the MoneyClip Wallet offers a high interest rate of 1.51 TP3T per annum and allows deposits of up to 100 million won.
- For long-term deposits, the MoneyClip Vault offers rates ranging from 0.11 TP3T per annum up to 2.51 TP3T per annum, depending on the length of the deposit.
- Personalized design:
- You can create up to 10 wallets and 1 vault, depending on your purpose.
- All of these services are easy to set up and manage contactlessly.
- Safety and reliability:
- Up to 50 million won per person is protected by the Deposit Protection Act, and a small amount of interest is calculated and paid monthly.
Summarize product information
- Product name: MoneyClip Passbook
- Type: Free Deposit Savings
- Subscription channels: NEW WON Banking App
- Join for: Real name individual (1 person, 1 account)
- Sales limits: 10,000 total seats limit
- Base Rate: 0.11 TP3T per year (as of 11/28/2024)
- Special rates:
- Moneyclip Wallet: 1.5% per year (can deposit up to 100 million won)
- MoneyClip Safe:
- Less than 7 days: 0.11 TP3T per year
- More than 7 days but less than 31 days: 2.01 TP3T per year
- 31 days or more: 2.51 TP3T per year (maximum deposit of KRW 1 billion)
Additional details
- Deposit and withdrawal conditions:
- Your restricted account will be lifted after 3 months of deposits and withdrawals of at least 1 million KRW per month, cumulatively, at least once per month.
- If you have opened a deposit with another financial institution within the last 20 days, you may not be eligible for this product.
- Deposit protection:
- The product is protected up to KRW 50 million per person, including principal and prescribed interest, and you have the right to a full explanation under Article 19 of the Financial Consumer Protection Act.
- Other things to keep in mind:
- You cannot convert from an existing deposit or withdrawal product and will be automatically converted to a WON account at the end of the sale.
- Interest rates are subject to change based on the bank's policies.
3. Visualize with Python

It's hard to read the above as text, so let's use Python to visualize it in a way that makes it pop. I'll walk you through the code as I go, and the full code is at the end of the post.
Importing libraries
import pandas as pdImport the pandas library and prepare it for data processing.
import matplotlib.pyplot as pltImport matplotlib's pyplot module to prepare it for graph generation.
Generate data
data = {
"Category": ["Immediate Access", "Long-term Savings"],
"Interest Rate (%)": [1.5, 2.5],
"Max Amount (Million KRW)": [100, 1000]
}Define the data for the two savings options in the form of a dictionary.
df = pd.DataFrame(data)Convert the defined data into a pandas DataFrame.
Initializing the graph
fig, ax1 = plt.subplots(figsize=(10, 6))Create a 10×6 inch graph frame and set the first axis (ax1).
Add an interest rate bar graph
bars = ax1.bar(df["Category"], df["Interest Rate (%)"], color=["skyblue", "lightcoral"], alpha=0.7, label="Interest Rate (%)")Create a bar graph representing interest rates.
ax1.set_ylabel("Interest Rate (%)", fontsize=12)
ax1.set_ylim(0, 3)
ax1.legend(loc="upper left")Set the label for the first y-axis, specify the range, and add a legend.
for bar in bars:
ax1.text(bar.get_x() + bar.get_width() / 2, bar.get_height(), f'{bar.get_height():.1f}%', ha='center', va='bottom', fontsize=10)Add the corresponding interest rate value as text above each bar.
Add a Maximum Amount Line Graph
ax2 = ax1.twinx()Create a second y-axis (ax2).
line, = ax2.plot(df["Category"], df["Max Amount (Million KRW)"], color="green", marker="o", label="Max Amount (Million KRW)", linewidth=2)Create a line graph representing the maximum amount.
ax2.set_ylabel("Max Amount (Million KRW)", fontsize=12)
ax2.set_ylim(0, 1200)Set the label and range for the second y-axis.
for i, txt in enumerate(df["Max Amount (Million KRW)"]):
ax2.text(i, txt + 30, f'{txt}M KRW', ha='center', fontsize=10)Add the corresponding maximum amount value as text above each point on the line graph.
Finalize the graph
plt.title("Comparison of Interest Rate and Max Amount for Savings Options", fontsize=14)
ax1.grid(axis="y", linestyle="--", alpha=0.7)Set a title for the graph and add a grid of dotted lines in the y-axis direction.
plt.tight_layout()
plt.show()Automatically adjusts the layout of the graph and displays the finished graph on the screen.
4. to wrap up
Woori Bank Money Clip Passbook is more than just a savings account, it's a powerful tool to grow your wealth. Take advantage of great interest rates and earn bonus prizes with our spread-the-word events. Why not make it even more fun by analyzing interest rates with Python?
If you're interested in these products, you're probably also interested in Bitcoin, so we've got you covered. Bitcoin Price Prediction: 2024 Predictions with R and Machine Learning Check out the post to find out!
#Full Code
import pandas as pd
import matplotlib.pyplot as plt
Generate data for the # visualization
data = {
"Category": ["Immediate Access", "Long-term Savings"],
"Interest Rate (%)": [1.5, 2.5],
"Max Amount (Million KRW)": [100, 1000] # Adjust to Million KRW
}
df = pd.DataFrame(data)
Initialize the # plot
fig, ax1 = plt.subplots(figsize=(10, 6))
# interest rate comparison bar chart
bars = ax1.bar(df["Category"], df["Interest Rate (%)"], color=["skyblue", "lightcoral"], alpha=0.7, label="Interest Rate (%)")
ax1.set_ylabel("Interest Rate (%)", fontsize=12)
ax1.set_ylim(0, 3)
ax1.legend(loc="upper left")
Add the # data label
for bar in bars:
ax1.text(bar.get_x() + bar.get_width() / 2, bar.get_height(), f'{bar.get_height():.1f}%', ha='center', va='bottom', fontsize=10)
Add a y-axis twin axis with a maximum amount of #
ax2 = ax1.twinx()
line, = ax2.plot(df["Category"], df["Max Amount (Million KRW)"], color="green", marker="o", label="Max Amount (Million KRW)", linewidth=2)
ax2.set_ylabel("Max Amount (Million KRW)", fontsize=12)
ax2.set_ylim(0, 1200)
Add data labels to the # line chart
for i, txt in enumerate(df["Max Amount (Million KRW)"]):
ax2.text(i, txt + 30, f'{txt}M KRW', ha='center', fontsize=10)
ax2.legend(loc="upper right")
# Add a title and grid
plt.title("Comparison of Interest Rate and Max Amount for Savings Options", fontsize=14)
ax1.grid(axis="y", linestyle="--", alpha=0.7)
Tighten the # layout and show the graph
plt.tight_layout()
plt.show()





